Abstract
Background: Mild cognitive impairment (MCI) is an important stage between the normal cognitive decline of aging and dementia. The aim of this study was to compare and harmonize the recommendations for the diagnosis and treatment of MCI based on current clinical practice guidelines. Methods: We searched the PubMed, EMBASE, China National Knowledge Infrastructure, Wanfang Database, Chinese Science and Technology Periodical Database, and Chinese Biological Medicine Database from their inception date to April 24, 2021 to identify all published guidelines on MCI. The qualities of the eligible guidelines were appraised by two reviewers using the Appraisal of Guidelines for Research and Evaluation II instrument. Results: Thirteen guidance documents (four guidelines and nine consensus statements) with specific recommendations were included. Nine guidelines and consensus statements covered the screening and diagnosis of MCI. The evaluation of the documents showed that neuropsychological testing and biomarker assessments were the most common recommendations for the diagnosis of MCI. Nine of the 13 guidance documents covered the treatment and management of MCI. The recommendations for the treatment and management were classified into four categories, namely: intervention for risk reduction, pharmacologic interventions, non-pharmacologic interventions, and counseling. Regarding pharmacological interventions, three guidelines recommend no pharmacologic intervention. The use of cholinesterase inhibitors for MCI is contraindicated in three guidance documents, whereas one proposes that cholinesterase inhibitors and memantine should be deprescribed. EHb761®, Chinese herbal decoctions, and Chinese traditional patent medicine are recommended in two documents. A total of seven guidance documents recommend non-pharmacological interventions, including physical activity interventions, cognitive interventions, dietary and nutritional interventions, and acupuncture. Conclusion: An updated search for possible evidence on the diagnosis and treatment of MCI is needed. Potentially effective diagnoses and treatments, either conventional or complementary, and alternative therapies should be highly valued and addressed in correlation with the supporting evidence.
Introduction
Mild cognitive impairment (MCI) is regarded as the transitional period between the normal cognitive decline of healthy aging and dementia (1). It is categorized into amnestic and non-amnestic subtypes (2). MCI is one of the most common diseases of the elderly, and it increases the risk of developing dementia (1). According to recent studies, the prevalence of MCI among elderly people in China is 15.5% (3), 13.11% in Greece (4), and 26.06% in South India (5). Moreover, it has been reported that 6–15% of patients with MCI develop Alzheimer's disease (AD) annually, and each patient with AD would spend $40,000 each year (6). The high conversion rate from MCI to AD places a large financial burden on public health. Thus, it is critical to pay attention to the diagnosis and treatment of MCI.
The first Mayo diagnostic criteria for MCI proposed by Petersen et al. (7) was mainly based on memory problems. The criteria comprised of memory complaint, normal activities of daily living, normal general cognitive function, abnormal memory for the age of the patient, and no signs of dementia (7). However, considering the non-memory problems that can also result in cognitive impairment, Petersen amended the Mayo criteria by adding non-memory criteria (8). Multiple tests, such as the mini-mental state examination (MMSE), the Montreal Cognitive Assessment (MoCA), the Free and Cued Selective Reminding Test (FCSRT), the California Verbal Learning Test, and the Boston Naming Test, have been proposed for screening for MCI. However, no specific accepted test and cutoff score have been recommended for the diagnosis of MCI. This lack of specific standardized tests of assessment cut-off points may influence the accuracy of the diagnosis (8–10). Furthermore, owing to the complexity of risk factors and the lack of clarity in the diagnosis of MCI, it is also difficult to provide specific treatment for patients. Currently, there are no accepted drugs for the treatment MCI (11). However, new management measures for MCI, such as cognitive interventions, exercise, and herbal medicine, are continuously introduced in clinical practice guidelines (12, 13).
Guidance documents, such as clinical practice guidelines and consensus statements, are developed using a systematic method to provide guidance and recommendations for clinicians (14). Guidance documents may focus on different topics, such as screening, diagnosis, or treatment (14). There are several published guidelines and consensus statements for MCI. However, discrepancies exist between the guidelines because of variations in topics and the time-sensitive nature of some of the evidence. Another reason for the variations between the guidelines may be that the guidelines from different countries are based on different sources and qualities of evidence. Hence, it is necessary to summarize and compare MCI recommendations to enable the clinicians to make more thoughtful clinical decisions and to encourage MCI guideline developers to consider evidence comprehensively. The discovery and evaluation of controversial recommendations is an advantage for future research. Thus, the aim of this study was to systematically review, compare, and harmonize the recommendations for the diagnosis and treatment of MCI in the current clinical practice guidelines.
Methods
Eligibility Criteria
Clinical practice guidelines and expert consensus were included if they satisfied the following criteria:
- with specific recommendations
- focus on diagnosis and/or treatment of patients with MCI
- not intended for MCI general practice, education, training, certification, and research
- not protocols, abstracts, editorial comments, overview/review articles, and systematic reviews.
Search and Selection
The PubMed, EMBASE, China National Knowledge Infrastructure, Wanfang Database, Chinese Science and Technology Periodical Database, and Chinese Biological Medicine Database were systematically searched from their inception date to April 24, 2021. The keywords were Cognitive Dysfunction [MeSH] OR MCI [Title/Abstract] OR cognitive impairment [Title/Abstract] OR cognitive disorder* [Title/Abstract] OR cognitive dysfunction* [Title/Abstract] OR neurocognitive disorder* [Title/Abstract] OR cognitive decline* [Title/Abstract] OR mental deterioration* [Title/Abstract] AND Guideline [MeSH] OR expert consensus [Title/Abstract] OR recommendation statement [Title/Abstract]. The keywords mentioned above were adapted and searched in Chinese databases by using corresponding Chinese words; the search strategies are presented in Supplementary Table 1. Two authors (YC and NL) independently selected the clinical practice guidelines and consensus statements. The websites including Google Scholar, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, Guidelines International Network, and World Health Organization were also searched for gray literature. The languages were limited to English and Chinese.
Basic Characteristics of the Included Documents and Extraction of Recommendations
The reviewers (NL and YC) extracted the basic characteristics and recommendation content of the included guidelines. The basic characteristics included guideline development information (development group, country, year, and number of guideline versions), guideline scope and content (target population, diagnosis, and treatment), evidence support (systematic search and number of references), grading systems of recommendations (level of evidence and strength of recommendations), and conflict of interest (type of funding).
The included guidelines were reviewed, and the recommendations were extracted. Information on the level of evidence and strength of recommendations for diagnosis (or screening) and treatment (or management) were extracted separately. For guidelines with more than one version but which were developed by the same organization or group, the recommendations on the diagnosis and treatment of MCI were extracted from the most updated version.
AGREE II Assessment
The qualities of the eligible guidelines were independently appraised by two reviewers (YC and XL) using the Appraisal of Guidelines for Research and Evaluation (AGREE) II instrument. The results of the assessment were checked by the third author (NL). The AGREE II instrument comprises 23 items organized in six quality domains: scope and purpose, stakeholder involvement, rigor of development, clarity of presentation, applicability, and editorial independence. Each of the 23 items is rated on a seven-point scale. A score of 1 indicates “strongly disagree,” whereas a score of 7 represents “strongly agree.” The score of each domain is calculated based on the scores of its specific items (15, 16). Based on the methodology outlined in a previously published paper, we divided the domain scores into three groups: high quality (67–100%), sufficient quality (33–67%), and low quality (0–33%) (17, 18).
Results
Selection of Guidelines
A total of 13 guidance documents with specific recommendations were eligible, including four guidelines (10, 12, 19, 20) and nine consensus statements (13, 21–28). A detailed flow chart of the search and selection is presented in Figure 1.
Figure 1 Screening chart of this study. (Figure not reproduced here; see the original article.)
Two documents (12, 24) were developed in the United States, two (21, 28) in the United Kingdom, four (10, 19, 25, 27) in China, one (26) in Canada, one (13) in Singapore, one (20) in Switzerland, and two (22, 23) in Europe. Five of the documents had previous versions (10, 12, 13, 21, 26). Eleven documents (10, 12, 13, 20–26, 28) are directed at MCI populations and three documents (19, 26, 27) are directed at vascular mild cognitive impairment (VaMCI) populations. Recommendations for screening and diagnosis are included in nine documents (10, 12, 13, 19, 22–24, 26, 28), whereas recommendations for treatment and management are included in nine documents (10, 12, 13, 20, 21, 24–27). Nine documents state that the guideline/statement was developed using a systematic search strategy (10, 12, 19–24, 26). The detailed characteristics of the eligible guidelines and consensus statements are presented in Table 1. A summary of the grading systems used in the included guidelines and consensus statements is presented in Supplementary Table 2.
| Guideline | Institution/Group | Country, territory or area of development | Year | Previous version | Target | Screening and diagnosis | Treatment and management | Number of references | Evidence based | Grading of evidence | Funding type |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Tian et al. (19) | Alzheimer's and Related Professional Committees of China Association of Elderly Health Care | China | 2016 | No | VaMCI | Yes | No | 80 | Yes | Yes | N/A |
| Brien et al. (21) | British Association for Psychopharmacology (BAP) | UK | 2017 | 2 (2006, 2011) | MCI | No | Yes | 146 | Yes | Yes | I |
| Petersen et al. (12) | American Academy of Neurology (AAN) | USA | 2018 | 1 (2001) | MCI | Yes | Yes | 103 | Yes | Yes | I |
| Jia et al. (10) | Cognitive Disorders Professional Committee of Neurologist Branch of Chinese Medical Doctor Association | China | 2018 | 2 (2010, 2015) | MCI | Yes | Yes | 22 | Yes | Yes | G |
| Jia et al. (25) | Cognitive Disorders Professional Committee of Neurologist Branch of Chinese Medical Doctor Association | China | 2019 | No | MCI | No | Yes | 24 | N/A | Yes | G |
| Cummings et al. (24) | N/A | USA | 2019 | No | MCI | Yes | Yes | 111 | Yes | No | I |
| WHO (20) | WHO | Switzerland | 2019 | No | MCI | No | Yes | N/A | Yes | Yes | G |
| Zhou et al. (27) | State Administration of Traditional Chinese Medicine; Chinese Society of Traditional Chinese Medicine | China | 2020 | No | VaMCI | Yes | Yes | 40 | N/A | Yes | G |
| Ismail and Richard (26) | Canadian Consensus Conferences on the Diagnosis and Treatment of Dementia (CCCDTD) | Canada | 2020 | 4 (1989, 1998, 2006, 2012) | MCI, VaMCI | No | Yes | 123 | Yes | Yes | I |
| Kandiah and Christopher (13) | Asian Clinical Expert Group on Neurocognitive Disorders (ASCEND) | Singapore | 2021 | 1 (2019) | MCI | Yes | Yes | 115 | Yes | Yes | P |
| Dunne et al. (28) | N/A | UK | 2021 | No | MCI | Yes | Yes | 77 | Yes | No | N/A |
| Herukka et al. (22) | N/A | European | 2017 | No | MCI | Yes | No | 51 | Yes | Yes | G; I |
| Nobili et al. (23) | European Association of Nuclear Medicine (EANM) and European Academy of Neurology (EAN) | European | 2018 | No | MCI | Yes | No | 119 | Yes | Yes | G; I; P |
Quality Assessment
The scores for each domain of the AGREE II instrument are presented in Table 2. The guideline developed by the American Academy of Neurology (AAN) had the highest overall score in the six domains (12). Nine guidance documents (12, 13, 19–24, 26) had high scores in the “scope and purpose” domain (domain 1), whereas four (10, 25, 27, 28) had sufficient scores (domain 1: average, 68%; range, 44–78%). The scores for the “stakeholder involvement” (domain 2) were generally low; all documents scored below 67% in that domain. Eight documents (12, 13, 20, 21, 23, 26–28) had sufficient scores in domain 2, whereas five (10, 19, 22, 24, 25) had low scores (domain 2: average, 37%; range, 22–66%). Two documents (12, 20) had high quality in the “rigor of development” domain, four (13, 22, 23, 26) had sufficient quality, and the others had low quality (domain 3: average, 41%; range, 19–71%). The “clarity of presentation” domain (domain 4) had the highest scores among the six domains (domain 4: average, 74%; range, 47–86%). Ten of the 13 documents were rated as high quality in domain 4 (10, 12, 13, 19–21, 24–26, 28). Overall, “applicability” domain (domain 5) had the lowest scores among the six domains (domain 5: average, 29%; range, 6–48%). Six documents (12, 22–24, 26, 28) were rated as with sufficient quality in domain 5, whereas others were rated as with low quality. Five documents were of low quality in the “editorial independence” domain (domain 6: average 47%; range, 0–92%) (10, 19, 22, 25, 27), two (23, 26) were of sufficient quality, and six (12, 13, 20, 21, 24, 28) were of high quality.
| Domain 1 | Domain 2 | Domain 3 | Domain 4 | Domain 5 | Domain 6 | Overall (%) | |
|---|---|---|---|---|---|---|---|
| Guideline | Scope and purpose (%) | Stakeholder involvement (%) | Rigor of development (%) | Clarity of presentation (%) | Applicability (%) | Editorial independence (%) | |
| Tian et al. (19) | 69 | 25 | 29 | 72 | 6 | 0 | 50 |
| Petersen et al. (12) | 77 | 66 | 71 | 86 | 47 | 91 | 92 |
| Brien et al. (21) | 69 | 39 | 27 | 86 | 31 | 88 | 58 |
| Jia et al. (10) | 61 | 25 | 27 | 69 | 12 | 4 | 42 |
| Jia et al. (25) | 44 | 22 | 20 | 77 | 16 | 0 | 33 |
| Cummings et al. (24) | 72 | 33 | 32 | 78 | 35 | 83 | 58 |
| WHO (20) | 78 | 61 | 82 | 81 | 40 | 75 | 83 |
| Zhou et al. (27) | 66 | 47 | 19 | 63 | 18 | 0 | 25 |
| Ismail and Richard (26) | 67 | 50 | 53 | 86 | 42 | 54 | 67 |
| Kandiah and Christopher (13) | 67 | 25 | 45 | 81 | 27 | 71 | 58 |
| Dunne et al. (28) | 61 | 25 | 26 | 81 | 35 | 92 | 50 |
| Herukka et al. (22) | 78 | 25 | 53 | 47 | 48 | 13 | 50 |
| Nobili et al. (23) | 69 | 44 | 53 | 56 | 19 | 46 | 58 |
| Average | 68 | 37 | 41 | 74 | 29 | 47 |
Screening and Diagnosis
Nine guidelines and consensus statements covered the screening and diagnosis of MCI (10, 12, 13, 19, 24, 26, 28). Neuropsychological testing and biomarker assessments are the most recommended tests for the diagnosis of MCI. There was agreement between two guidance documents recommending that standard diagnostic criteria, such as the Vascular Behavioral and Cognitive Disorders Society criteria, Diagnostic and Statistical Manual of Mental Disorders 5, Vascular Impairment of Cognition Classification Consensus Study, or the American Heart Association consensus statement, should be used in the diagnostic process for VaMCI (19, 26). Two guidelines recommend that self-report from patients should not be solely relied on for clinical history but should be supplemented by reports from people familiar with the patient (10, 19). Three guidance documents indicate that clinicians should combine clinical history with neuropsychological testing in the diagnostic process (12, 24, 26). One guideline recommends making a diagnosis of MCI subtype (10). Two guidance documents recommend that clinicians identify the MCI risk factors that are potentially modifiable (12, 28). Seven documents (10, 12, 13, 19, 24, 26, 28) recommend the use of neuropsychological testing for screening and diagnosis. Three (10, 19, 26) of these seven documents recommend cognitive testing, including assessment using the Modified Mini-Mental State (3MS) examination, the MMSE, the Rowland Universal Dementia Assessment Scale (RUDAS), MoCA, Toronto Cognitive Assessment (TorCA), National Institute for Neurological Disorders and Stroke and Canadian Stroke Network (NINDS-CSN), and FCSRT; three (10, 13, 19) recommend testing activities of daily living and functional assessment, including assessment using the Activity of Daily Living Scale (ADL), Instrumental Activity Daily Living (IADL) scale, and Functional Activities Questionnaire (FAQ); and one document (10) recommends behavioral and psychological assessment. Three documents (12, 24, 28) do not recommend a specific diagnostic tool, and one guidance document does not recommend cognitive testing for screening asymptomatic adults (26). Three guidance documents (10, 19, 26) propose that a physical examination needs to be conducted for diagnosis and for the prediction of the progression to dementia. Two (10, 26) of these three documents recommend dual-task gait test, while one document recommends the olfactory function test and hearing test (10). Regarding diagnostic radiologic examinations, two documents (12, 19) recommend magnetic resonance imaging (MRI), and three documents (12, 19, 23) recommend positron emission tomography (PET). One guideline recommends the assessment of medial temporal lobe atrophy for the identification of hippocampal atrophy (19). Two guidelines recommend conducting blood tests to exclude other potential diseases (10, 19). Five guidance documents (10, 13, 22, 24, 28) recommend biomarker assessments to help confirm the diagnosis of MCI. Three (10, 22, 28) of these documents recommend cerebrospinal fluid biomarker tests (CSF tau protein and CSF β-amyloid 42), whereas another guideline (12) suggests that there is no accepted biomarker for a definite diagnosis. Three guidance documents recommend follow-up or monitoring the changes in the cognitive status of a patient with MCI (10, 12, 28). The details and levels of recommendations for screening and diagnosis are presented in Table 3 and Supplementary Table 3A.
| Recommendations | Tian et al. (19) | Herukka et al. (22) | Nobili et al. (23) | Petersen et al. (12) | Jia et al. (10) | Cummings et al. (24) | Kandiah and Christopher (13) | Dunne et al. (28) | Ismail and Richard (26) |
|---|---|---|---|---|---|---|---|---|---|
| Use VAS-COG Society criteria, DSM5, vascular impairment of cognition Classification consensus study or the American Heart Association consensus statement for diagnosis of VaMCI | + | N/A | N/A | N/A | N/A | N/A | N/A | N/A | + |
| Clinical history cannot rely solely on the self-report from patients and should be supplemented by familiar people | + | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Combining clinical history with neuropsychological testing when making diagnosis | N/A | N/A | N/A | + | N/A | + | N/A | N/A | + |
| Making a diagnosis of MCI subtype | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Identifying risk factors that are potentially modifiable | N/A | N/A | N/A | + | N/A | N/A | N/A | + | N/A |
| Use of neuropsychological testing for screening and diagnosis | + | N/A | N/A | + | + | + | + | + | + |
| Cognitive testing | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Cognitive testing for screening asymptomatic adults | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | - |
| 3MS examination | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | + |
| MMSE | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | + |
| RUDAS | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | + |
| MoCA | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | + |
| TorCA | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | + |
| NINDS-CSN | + | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| FCSRT | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Activities of daily living testing and functional assessment | + | N/A | N/A | N/A | + | N/A | + | N/A | N/A |
| ADL | N/A | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A |
| IADL | + | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| FAQ | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Behavioral and psychological assessment | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Use of physical examination for diagnosis and predicting the progression to dementia | + | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Dual-task gait test | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | + |
| Olfactory function test | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Hearing test | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Use of neuroimaging for diagnosis | + | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Structural imaging | + | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| MRI | + | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| MTA scale for identifying hippocampal atrophy | + | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Functional imaging | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| PET | + | N/A | + | N/A | + | N/A | N/A | N/A | N/A |
| Use of blood tests for excluding other diseases | + | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Use of biomarker assessments for helping confirm diagnosis | N/A | + | N/A | - | + | + | + | + | N/A |
| CSF biomarker | N/A | + | N/A | N/A | + | N/A | N/A | + | N/A |
| Follow-up of MCI patients or monitoring the change in cognitive status | N/A | N/A | N/A | + | + | N/A | N/A | + | N/A |
Treatment and Management
Nine guidance documents covered recommendations for the treatment (10, 12, 13, 20, 21, 24–27). The recommendations for treatment and management were classified into four categories: intervention for risk reduction, pharmacologic interventions, non-pharmacologic interventions, and counseling. Regarding intervention for risk reduction, one guideline (20) recommends that patients reduce or cease harmful drinking, whereas another guideline (12) recommends discontinuing medications that can contribute to cognitive impairment. Seven guidance documents include recommendations for pharmacologic interventions (10, 12, 13, 21, 24, 26, 27). Three guidelines (10, 12, 24) indicate that there is no accepted drug for the treatment of MCI. Three guidance documents (12, 13, 21) contraindicate cholinesterase inhibitors for the treatment of MCI, whereas one (26) proposes that cholinesterase inhibitors and memantine should be deprescribed. One consensus statement proposes that EHb761® can improve the symptoms of MCI (13). One consensus statement recommends Chinese herbal decoction (Guipi decoction, Heche Dazao pills, Huanshaodan, Ditan decoction, and Tongqiao Huoxue decoction) and Chinese traditional patent medicine (FuFangCongRongYiZhi capsule, Tianzhi granules, Yangxue Qingnao granule, and Huanshao capsule) (27). Regarding non-pharmacologic interventions, four guidance documents (12, 13, 20, 26) recommend physical activity interventions, including aerobic exercise; four (12, 13, 20, 25) recommend cognitive interventions; three (20, 24, 27) recommend dietary and nutritional interventions, including a Mediterranean-like diet, Souvenaid, and Chinese medicine dietary therapy; and one (27) recommends acupuncture. Regarding counseling, a guideline proposes that clinicians should discuss prognosis and long-term planning with the patients and their families (12). The details and levels of treatment recommendations are presented in Table 4 and Supplementary Table 3B.
| Recommendations | Petersen et al. (12) | Brien et al. (21) | Jia et al. (10) | Jia et al. (25) | Cummings et al. (24) | Zhou et al. (27) | WHO (20) | Ismail and Richard (26) | Kandiah and Christopher (13) |
|---|---|---|---|---|---|---|---|---|---|
| Interventions for risk reduction | N/A | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A |
| Interventions for alcohol use disorder | N/A | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A |
| Ceasing medications which can cause cognitive impairment | + | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Pharmacologic interventions | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| No accepted drug | + | N/A | + | N/A | – | N/A | N/A | N/A | N/A |
| Cholinesterase inhibitors | – | – | N/A | N/A | N/A | N/A | N/A | N/A | – |
| Cholinesterase inhibitors and memantine should be deprescribed | N/A | N/A | N/A | N/A | N/A | N/A | N/A | + | N/A |
| EHb761® for improving symptoms | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | + |
| Chinese herbal decoction | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A |
| Chinese traditional patent medicine | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A |
| Non-pharmacologic interventions | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
| Physical activity interventions | + | N/A | N/A | N/A | N/A | N/A | + | + | + |
| Aerobic exercise | N/A | N/A | N/A | N/A | N/A | N/A | N/A | + | N/A |
| Cognitive interventions | + | N/A | N/A | + | N/A | N/A | + | N/A | + |
| Dietary and nutritional interventions | N/A | N/A | N/A | N/A | + | + | + | N/A | N/A |
| Mediterranean-like diet | N/A | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A |
| Souvenaid | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A | N/A |
| Chinese medicine dietary therapy | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A |
| Acupuncture | N/A | N/A | N/A | N/A | N/A | + | N/A | N/A | N/A |
| Counseling | |||||||||
| Discussing prognosis and long-term planning topics with patients and families | + | N/A | N/A | N/A | N/A | N/A | N/A | N/A | N/A |
Discussion
Key Findings
As MCI is a transitional stage between the cognitive decline of healthy aging and dementia, its management is critical and requires considerable attention. In this study, we systematically collated MCI guidelines and incorporated the recommendations for review after appraising the qualities of the guidelines. We included a total of 13 MCI guidance documents in this review. The assessment of the guidelines using the AGREE II tool showed that the AAN guideline has the highest methodological quality of all the included guidelines (12). We analyzed the consistency of the recommendations but found some variation among the MCI guidelines.
Some differences were found among the nine guidance documents that include diagnostic recommendations. Neuropsychological assessment is recommended in seven guidelines; however, we noted some inconsistency in the guidelines (10, 12, 13, 19, 24, 26, 28). Three guidance documents do not recommend specific tests (12, 24, 28), whereas others recommend different tests, including MMSE, 3MS examination, MoCA, TorCA, RUDAS, NINDS-CSN neuropsychological protocols, FCSRT, IADL scale, and FAQ. Among the varied tests mentioned above, NINDS-CSN neuropsychological protocols, FCSRT, ADL, IADL scale, and FAQ are focused on testing deficits in a single cognitive domain (10, 19), while the MMSE and MoCA tests, which are the most common cognitive screening instruments, are used to evaluate multiple cognitive domains (10, 19). Three guidance documents recommend the use of more comprehensive neuropsychological tools for the assessment of multiple cognitive domains in patients with MCI (10, 19, 26). One document (19) states that cognitive assessment should include both a comprehensive test and at least four single-domain tests, while another document (10) states that cognitive assessment should include either a comprehensive test or several single-domain tests. An inconsistency was found regarding whether comprehensive tests and single-domain tests should be used alone or in combination. Moreover, both guidance documents do not clarify which specific test should be used. When choosing which cognitive test to use, clinicians should consider the sensitivity, specificity, and time efficiency of the test (29). The guidelines indicate that the sensitivity of the MMSE is low when it is used alone (10, 26). A transversal study of 229 elderly participants in four medical centers demonstrated that the MMSE has lower sensitivity than the MoCA (30). Three systematic reviews also demonstrated that the sensitivity and specificity of the MoCA are superior to those of the MMSE (29, 31, 32). Hence, the MoCA may be better than the MMSE as a comprehensive neuropsychological screening tool. Moreover, we found that none of the guidance documents included in this review has details of a cutoff score for the diagnosis of MCI. However, a systematic review concluded that the best cutoff point for MoCA score is 24/25 (31). Another systematic review suggested that the influence of education should be considered when using cutoff values (33). In conclusion, there is still no commonly accepted cutoff score for the diagnosis of MCI. Future studies that involve a further evaluation of the diagnostic accuracy of MCI using different tests and clearly defined cutoff values are needed.
There is a controversial question regarding whether the measurement of biomarkers is effective for the detection of progression toward AD in patients with MCI. The biomarkers can be divided into two categories: imaging-based biomarkers and CSF-based biomarkers (34). The imaging-based biomarkers include MRI-based biomarkers and PET-based biomarkers. MRI-based biomarkers contain the hippocampus and entorhinal cortex; PET-based biomarkers mainly contain amyloid PET, tau PET, and fluorine-18-fluorodeoxyglucose (FDG)-PET; CSF-based biomarkers mainly include CSF tau protein, CSF t-tau protein, and CSF β-amyloid peptide (Aβ1−42) (35–37). In the present study, six guidance documents covered biomarker assessments; however, they proposed different recommendations (10, 12, 13, 22, 24, 28). Five documents (10, 13, 22, 24, 28) recommend that biomarker assessments may help confirm the diagnosis of MCI and identify prodromal AD in patients with MCI. One (10) of these documents indicates that the CSF tau protein and CSF β-amyloid 42 tests for amnestic MCI (aMCI) are advantageous for screening patients with AD. However, another guideline indicates that there is no accepted biomarker for predicting the progression of MCI (12). Although assessment of biomarker is not recommended in that guideline, the authors state that they have a positive view of the biomarker (12). Only one guidance document recommends using same the cutoff points for CSF biomarkers regardless of apolipoprotein E genotype (22). There are also some contraindications for the application of CSF biomarker test, such as increased intracranial pressure and coagulopathy (22). About imaging-based biomarkers, two documents give the recommendations about the use of FDG-PET to confirm the diagnosis of AD in MCI (19, 23). FDG-PET is also recommended to ascertain the diagnosis of FTLD and DLB in MCI (23). The cost benefit of imaging-based and CSF-based biomarkers is another issue worth considering. The Manchester consensus of MCI includes three of 11 recommendations regarding the use of biomarkers for early detection. However, the consensus indicates that the cost utility of biomarkers remains controversial (28).
Variations also exist in the nine documents that include recommendations for the treatment and management of MCI. Three documents do not recommend pharmacological interventions for the treatment of MCI (13, 27). However, EHb761® is recommended in one consensus statement for the improvement of MCI symptoms (13). EHb761® is an extract from the Ginkgo biloba plant. A systematic review, which include 21 trials with 2,608 patients, concluded that G. biloba may help improve the cognitive function and activities of daily living of patients with MCI (38). Another consensus statement recommends Chinese herbal decoctions and Chinese traditional patent medicine for the treatment of VaMCI (27). A 2-year trial demonstrated that traditional Chinese medicine, such as Bushen capsules, may improve the cognitive performance of patients with aMCI (39). Herb medicine might be a potential treatment for the improvement of MCI symptoms; however, more high-quality evidence is needed to confirm their efficacy. Four guidance documents (12, 13, 20, 26) recommend physical activity interventions for MCI. One (26) of these documents recommends a specific physical intervention, aerobic exercise. A systematic review of randomized control trials indicates that aerobic and resistance exercises could improve cognitive function (40). Some studies have shown that specific physical activity interventions, such as mind–body exercise, Tai Chi, functional task exercise, and yoga, may significantly improve the MCI symptoms (41–44). The specific physical activity interventions suitable for patients with MCI, the duration of the exercises, and strength of the exercises need to be researched in future studies.
Although guidance on follow-up or monitoring of the changes of MCI patients have been provided by three guidance documents, no detailed information on how to manage it can be determined. As it is worthwhile to clarify how often the patients with MCI should be monitored and what specific assessments the patients should do, this problem needs to be addressed in future guidelines.
In general, most guidelines and consensus statements (seven of 11) included in the present study were of sufficient and low quality. The domain with the lowest score was the “applicability” domain (domain 5). “Applicability” is a key measure of the implementation of a guideline in clinical practice (16). Applicability limitations, lack of description of facilitators and barriers, provision of additional tools, and potential resources may potentially affect health improvement.
Strengths and Limitations
To the best of our knowledge, this is the first paper to summarize the published guideline recommendations for MCI. The main strength of this study is the comprehensive and systematic literature search that was conducted to identify guidance documents related to the diagnosis and treatment of MCI. The guidelines and consensus statements were independently appraised by two reviewers using AGREE II, and the finding on the methodological problems, mainly in the applicability domain, presented as lacking implementation strategies and related application resources, may help in the development of future MCI guidelines. The recommendations were summarized into key recommendations shown in tables, and the consistency of the recommendations and the difference between them were compared.
The limitation of this study is that, although a systematic search strategy was implemented, certain guidelines may have been missed because of language limitations. Moreover, there were no accepted cutoff points for the domain scores of AGREE II. In addition, the fact that we referred to a previous article for the grading of the domain scores might be a matter of dispute (17, 18).
Conclusions
An updated search of possible evidence for the diagnosis and treatment of MCI is needed. Potentially effective diagnoses and treatments, either conventional or complementary, and alternative therapies should be highly valued and addressed in correlation with the supporting evidence. The AGREE II and Reporting Items for Practice Guidelines in Healthcare tools can be referred to when developing guidelines.
Data Availability Statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author/s.
Author Contributions
NL and Y-XC designed the study, developed the analysis plan, analyzed the data, and contributed to the writing of the article. X-LL and S-HY extracted the data and appraised the quality of eligible guidelines. Y-PW and N-NS revised the manuscript and polish the language. All authors contributed to the article and approved the submitted version.
Funding
This work was supported by the National Key Research & Development Program of China (Grant Nos. 2019YFC1712000, 2019YFC1712003, and 2019YFC1712005).
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher's Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
- AndersonND. State of the science on mild cognitive impairment (MCI). CNS Spectr. (2019) 24:78–87. 10.1017/S109285291800134730651152 doi:10.1017/S1092852918001347 PubMed
- NicoliniP MariD AbbateC IngleseS BertagnoliL TomasiniE . Autonomic function in amnestic and non-amnestic mild cognitive impairment: spectral heart rate variability analysis provides evidence for a brain-heart axis. Sci Rep. (2020) 10:11661. 10.1038/s41598-020-68131-x32669640PMC7363846 doi:10.1038/s41598-020-68131-x PubMed
- JiaL DuY ChuL ZhangZ LiF LyuD . Prevalence, risk factors, and management of dementia and mild cognitive impairment in adults aged 60 years or older in China: a cross-sectional study. Lancet Public Health. (2020) 5:e661–71. 10.1016/S2468-2667(20)30185-733271079 doi:10.1016/S2468-2667(20)30185-7 PubMed
- VlachosGS KosmidisMH YannakouliaM DardiotisE HadjigeorgiouG SakkaP . Prevalence of mild cognitive impairment in the elderly population in Greece: results from the HELIAD study. Alzheimer Dis Assoc Disord. (2020) 34:156–62. 10.1097/WAD.000000000000036131913961 doi:10.1097/WAD.0000000000000361 PubMed
- MohanD IypeT VargheseS UshaA MohanM. A cross-sectional study to assess prevalence and factors associated with mild cognitive impairment among older adults in an urban area of Kerala, South India. BMJ Open. (2019) 9:e025473. 10.1136/bmjopen-2018-02547330898818PMC6475216 doi:10.1136/bmjopen-2018-025473 PubMed
- PetersenRC StevensJC GanguliM TangalosEG CummingsJL DeKoskyST. Practice parameter: early detection of dementia: mild cognitive impairment (an evidence-based review). Neurology. (2001) 56:1133–42. 10.1212/WNL.56.9.113311342677 doi:10.1212/WNL.56.9.1133 PubMed
- PetersenRC SmithGE WaringSC IvnikRJ TangalosEG KokmenE. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol. (1999) 56:303–8. 10.1001/archneur.56.3.30310190820 doi:10.1001/archneur.56.3.303 PubMed
- PetersenRC. Mild cognitive impairment as a diagnostic entity. J Intern Med. (2004) 256:183–94. 10.1111/j.1365-2796.2004.01388.x15324362 doi:10.1111/j.1365-2796.2004.01388.x PubMed
- AlbertMS DeKoskyST DicksonD DuboisB FeldmanHH FoxNC . The diagnosis of mild cognitive impairment due to Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimers Dement. (2011) 7:270–9. 10.1016/j.jalz.2011.03.00821514249PMC3312027 doi:10.1016/j.jalz.2011.03.008 PubMed
- JiaJ Writing Group of Chinese Guidelines for Diagnosis and Treatment of Dementia and Cognitive Impairment, Chinese Medical Doctor Association Neurologist Branch Cognitive Disorders Professional, Committee. Chinese guidelines for diagnosis and treatment of dementia and cognitive impairment in 2018 (five): diagnosis and treatment of mild cognitive impairment. Natl Med J China. (2018) 17:1294–301. 10.3760/cma.j.issn.0376-2491.2018.17.003 doi:10.3760/cma.j.issn.0376-2491.2018.17.003
- WinbladB PalmerK KivipeltoM JelicV FratiglioniL Wahlund-O. . Mild cognitive impairment–beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment. J Intern Med. (2004) 256:240–6. 10.1111/j.1365-2796.2004.01380.x15324367 doi:10.1111/j.1365-2796.2004.01380.x PubMed
- PetersenRC LopezO ArmstrongMJ GetchiusTSD Mary GanguliDG GaryS GronsethDM . Practice guideline update summary: mild cognitive impairment: report of the guideline development, dissemination, and implementation subcommittee of the American Academy of Neurology. Neurology. (2018) 90:126–35. 10.1212/WNL.000000000000482629282327PMC5772157 doi:10.1212/WNL.0000000000004826 PubMed
- KandiahN ChristopherYFC. Strategies for the use of Ginkgo biloba extract, EGb 761 ®, in the treatment and management of mild cognitive impairment in Asia: expert consensus. CNS Neurosci Ther. (2021) 27:149–62. 10.1111/cns.1353633352000PMC7816207 doi:10.1111/cns.13536 PubMed
- BrouwersMC FlorezID McNairSA VellaET YaoX. Clinical practice guidelines: tools to support high quality patient care. Semin Nucl Med. (2019) 49:145–52. 10.1053/j.semnuclmed.2018.11.00130819394 doi:10.1053/j.semnuclmed.2018.11.001 PubMed
- BrouwersMC KhoME BrowmanGP BurgersJS CluzeauF Feder . Development of the AGREE II, part 1: performance, usefulness and areas for improvement. Can Med Assoc J. (2010) 182:1045–52. 10.1503/cmaj.09171420513780PMC2900328 doi:10.1503/cmaj.091714 PubMed
- BrouwersMC KhoME BrowmanGP BurgersJS CluzeauF FederG . Development of the AGREE II, part 2: assessment of validity of items and tools to support application. Can Med Assoc J. (2010) 182:E472–8. 10.1503/cmaj.09171620513779PMC2900368 doi:10.1503/cmaj.091716 PubMed
- BrouwersMC SpithoffK LavisJ KhoME MakarskiJ FlorezID. What to do with all the AGREEs? The AGREE portfolio of tools to support the guideline enterprise. J Clin Epidemiol. (2020) 125:191–7. 10.1016/j.jclinepi.2020.05.02532473992 doi:10.1016/j.jclinepi.2020.05.025 PubMed
- KaperNM HeijdenGJMG CuijpersSH StokroosRJ AartsMCJ. A comparison of international clinical practice guidelines on adult chronic rhinosinusitis shows considerable variability of recommendations for diagnosis and treatment. Eur Arch Otorhinolaryngol. (2020) 277:659–68. 10.1007/s00405-019-05752-731845037 doi:10.1007/s00405-019-05752-7 PubMed
- TianJ XieH QinB FanD ShiJ WangL. Chinese diagnostic guidelines of vascular mild cognitive impairment. Chin J Intern Med. (2016) 3:249–56.
- WHO. Risk Reduction of Cognitive Decline and Dementia: WHO Guidelines. Geneva: World Health Organization (2019).31219687 PubMed
- BrienJTO HolmesC JonesM JonesR LivingstonG McKeithI . Clinical practice with anti-dementia drugs: a revised (third) consensus statement from the British Association for Psychopharmacology. J Psychopharmacol. (2017) 31:147–68. 10.1177/026988111668092428103749 doi:10.1177/0269881116680924 PubMed
- HerukkaSK SimonsenAH AndreasenN BaldeirasI BjerkeM BlennowK . Recommendations for cerebrospinal fluid Alzheimer's disease biomarkers in the diagnostic evaluation of mild cognitive impairment. Alzheimers Dement. (2017) 13:285–95. 10.1016/j.jalz.2016.09.00928341066 doi:10.1016/j.jalz.2016.09.009 PubMed
- NobiliF ArbizuJ BouwmanF DrzezgaA AgostaF NestorP . European Association of Nuclear Medicine and European Academy of Neurology recommendations for the use of brain (18) F-fluorodeoxyglucose positron emission tomography in neurodegenerative cognitive impairment and dementia: Delphi consensus. Eur J Neurol. (2018) 25:1201–17. 10.1111/ene.1372829932266 doi:10.1111/ene.13728 PubMed
- CummingsJ PassmoreP McGuinnessB MokV ChenC EngelborghsS . Souvenaid in the management of mild cognitive impairment: an expert consensus opinion. Alzheimer's Res Ther. (2019) 1:73. 10.1186/s13195-019-0528-631421681PMC6698334 doi:10.1186/s13195-019-0528-6 PubMed
- JiaJ. Writing Group of Chinese Expert Consensus of Cognitive Training, and Chinese Medical Doctor Association Neurologist Branch Cognitive Disorders Professional Committee (2019). Chinese expert consensus of cognitive training. Natl Med J China 99, 4–8. 10.3760/cma.j.issn.0376-2491.2019.01.002 doi:10.3760/cma.j.issn.0376-2491.2019.01.002
- IsmailZ RichardSEB. Recommendations of the 5th Canadian Consensus Conference on the diagnosis and treatment of dementia. Alzheimers Dement. (2020) 16:1182–95. 10.1002/alz.1210532725777PMC7984031 doi:10.1002/alz.12105 PubMed
- ZhouX HuangJ XieM WuC. Expert consensus of vascular mild cognitive impairment in Chinese traditional medicine. Chin J Inform Trad Chin Med. (2020) 27:1–5. 10.3969/j.issn.1005-5304.201910102 doi:10.3969/j.issn.1005-5304.201910102
- DunneRA AarslandD O'BrienJT BallardC BanerjeeS FoxNC . Mild cognitive impairment: the Manchester consensus. Age Ageing. (2021) 50:72–80. 10.1093/ageing/afaa22833197937PMC7793599 doi:10.1093/ageing/afaa228 PubMed
- BretonA CaseyD ArnaoutoglouNA. Cognitive tests for the detection of mild cognitive impairment (MCI), the prodromal stage of dementia: meta-analysis of diagnostic accuracy studies. Int J Geriatr Psychiatry. (2019) 34:233–42. 10.1002/gps.501630370616 doi:10.1002/gps.5016 PubMed
- PintoTCC MachadoL CostaMLG SantosMSP BulgacovTM RolimAPP . Accuracy and psychometric properties of the Brazilian version of the montreal cognitive assessment as a brief screening tool for mild cognitive impairment and alzheimer's disease in the initial stages in the elderly. Dement Geriatr Cogn Disord. (2019) 47:366–74. 10.1159/00050130831466064 doi:10.1159/000501308 PubMed
- CiesielskaN SokołowskiR MazurE PodhoreckaM Polak-SzabelaA Kedziora-KornatowskaK. Is the Montreal Cognitive Assessment (MoCA) test better suited than the Mini-Mental State Examination (MMSE) in mild cognitive impairment (MCI) detection among people aged over 60? Meta-analysis. Psychiatr Pol. (2016) 31:1039–52. 10.12740/PP/4536827992895 doi:10.12740/PP/45368 PubMed
- PintoTCC MachadoL BulgacovTM Rodrigues-JúniorAL CostaMLG XimenesRCC . Is the Montreal Cognitive Assessment (MoCA) screening superior to the Mini-Mental State Examination (MMSE) in the detection of mild cognitive impairment (MCI) and Alzheimer's Disease (AD) in the elderly? Int Psychogeriatr. (2019) 31:491–504. 10.1017/S104161021800137030426911 doi:10.1017/S1041610218001370 PubMed
- O'DriscollC ShaikhM. Cross-cultural applicability of the Montreal cognitive assessment (MoCA): a systematic review. J Alzheimers Dis. (2017) 58:789–801. 10.3233/JAD-16104228482634 doi:10.3233/JAD-161042 PubMed
- JackC. R.Jr. WisteHJ VemuriP WeigandSD SenjemML ZengG . Brain beta-amyloid measures and magnetic resonance imaging atrophy both predict time-to-progression from mild cognitive impairment to Alzheimer's disease. Brain. (2010) 133:3336–48. 10.1093/brain/awq27720935035PMC2965425 doi:10.1093/brain/awq277 PubMed
- DinizBS PintoJúnior JA ForlenzaOV. Do CSF total tau, phosphorylated tau, and beta-amyloid 42 help to predict progression of mild cognitive impairment to Alzheimer's disease? A systematic review and meta-analysis of the literature. World J Biol Psychiatry. (2008) 9:172–82. 10.1080/1562297070153550217886169 doi:10.1080/15622970701535502 PubMed
- EwersM WalshC TrojanowskiJQ ShawLM PetersenRC JackRJr. . Prediction of conversion from mild cognitive impairment to Alzheimer's disease dementia based upon biomarkers and neuropsychological test performance. Neurobiol Aging. (2012) 33:1203–14. 10.1016/j.neurobiolaging.2010.10.01921159408PMC3328615 doi:10.1016/j.neurobiolaging.2010.10.019 PubMed
- HameedS FuhJL SenanarongV EbenezerEGM LooiI DominguezJC . Role of fluid biomarkers and PET imaging in early diagnosis and its clinical implication in the management of Alzheimer's disease. J Alzheimers Dis Rep. (2020) 4:21–37. 10.3233/ADR-19014332206755PMC7081089 doi:10.3233/ADR-190143 PubMed
- YangG WangY SunJ ZhangK LiuJ. Ginkgo Biloba for mild cognitive impairment and Alzheimer's disease: a systematic review and meta-analysis of randomized controlled trials. Curr Top Med Chem. (2016) 16:520–8. 10.2174/156802661566615081314352026268332 doi:10.2174/1568026615666150813143520 PubMed
- ZhangJ YangC WeiD LiH LeungE. L.-H. . Long-term efficacy of Chinese medicine Bushen Capsule on cognition and brain activity in patients with amnestic mild cognitive impairment. Pharmacol Res. (2019) 146:104319. 10.1016/j.phrs.2019.10431931220560 doi:10.1016/j.phrs.2019.104319 PubMed
- LeeJ. Effects of aerobic and resistance exercise interventions on cognitive and physiologic adaptations for older adults with mild cognitive impairment: a systematic review and meta-analysis of randomized control trials. Int J Environ Res Public Health. (2020) 17:9216. 10.3390/ijerph,1724921633317169PMC7764103 doi:10.3390/ijerph,17249216 PubMed
- EyreHA SiddarthP AcevedoB DykKV PaholpakP ErcoliL . A randomized controlled trial of Kundalini yoga in mild cognitive impairment. Int Psychogeriatr. (2017) 29:557–67. 10.1017/S104161021600215528088925PMC5540331 doi:10.1017/S1041610216002155 PubMed
- ZhengW XiangYQ UngvariGS ChiuHFK NingP YuX . Tai chi for mild cognitive impairment: a systematic review. Psychogeriatrics. (2017) 17:514–6. 10.1111/psyg.1226928703397 doi:10.1111/psyg.12269 PubMed
- TaoJ LiuJ ChenX XiaR LiM HuangM . Mind-body exercise improves cognitive function and modulates the function and structure of the hippocampus and anterior cingulate cortex in patients with mild cognitive impairment. Neuroimage Clin. (2019) 23:101834. 10.1016/j.nicl.2019.10183431128522PMC6535682 doi:10.1016/j.nicl.2019.101834 PubMed
- YangJ ZhangL TangQ WangF LiY PengH . Tai Chi is effective in delaying cognitive decline in older adults with mild cognitive impairment: evidence from a systematic review and meta-analysis. Evid Based Complement Alternat Med. (2020) 2020:3620534. 10.1155/2020/362053432308706PMC7132349 doi:10.1155/2020/3620534 PubMed