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Life Expectancy

Clinical Research · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 12 min read

Based on known statistical data, the number of years which any person of a given age may reasonably be expected to live.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (2,557 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

Based on known statistical data, the number of years which any person of a given age may reasonably be expected to live.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Expectancies, Life; Expectancy, Life; Life Expectancies; Life Extension; Years of Potential Life Lost.

Where it fits in the MeSH classification

Broader topics
Vital Statistics
Narrower topics
Disability-Adjusted Life Years; Healthy Life Expectancy; Life Tables; Quality-Adjusted Life Years
See also
Longevity; Mortality, Premature

Research landscape

PubMed indexes 48,416 records tagged with the MeSH heading “Life Expectancy” (counts retrieved 2026-10-29). 13,536 of them (28.0%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 14,464 records.

Reviews account for 5,163 records (10.7%) and meta-analyses for 495. Randomized controlled trials number 2,454 (5.1%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 10,404 records; 2000-2009: 10,012 records; 2010-2019: 14,464 records; 2020 onward: 13,536 records10,404through 199910,0122000-200914,4642010-201913,5362020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199910,404
2000-200910,012
2010-201914,464
2020 onward13,536
Share of records by publication typeReviews: 10.7 percent; Meta-analyses: 1.0 percent; Randomized controlled trials: 5.1 percentReviews10.7% (5,163)Meta-analyses1.0% (495)Randomized controlled trials5.1% (2,454)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 48,416 PubMed records
TypeRecordsShare
Reviews5,16310.7%
Meta-analyses4951.0%
Randomized controlled trials2,4545.1%

Method: PubMed query "Life Expectancy"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in clinical research

Research methods determine how much a result can be trusted. Randomized trials guard against confounding, systematic reviews and meta-analyses combine many studies, and observational designs are valuable but can show only association. Reporting standards, trial registration and pre-specified outcomes reduce bias. When reading about a method, ask what problem it is designed to solve and which problems it does not solve.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023
GBD 2023 Disease and Injury and Risk Factor Collaborators
2025Research article
Design not recorded in structured metadata
686cc by
PMID 41092926 · DOI · PMC12535840
Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950-2023: a demographic analysis for the Global Burden of Disease Study 2023
GBD 2023 Demographics Collaborators
2025Research article
Design not recorded in structured metadata
161cc by
PMID 41092927 · DOI · PMC12535839
Global burden of prostate cancer: age-period-cohort analysis from 1990 to 2021 and projections until 2040
Chu F, Chen L, Guan Q, Chen Z, Ji Q, Ma Y, et al.
2025Research article
Design not recorded in structured metadata
34cc by
PMID 40114188 · DOI · PMC11924780
Healthy dietary patterns, longevity genes, and life expectancy: A prospective cohort study
Lv Y, Song J, Ding D, Luo M, He FJ, Yuan C, et al.
2026Research article
Design not recorded in structured metadata
3cc by
PMID 41686892 · DOI · PMC12904179

Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023 [1]

Research article GBD 2023 Disease and Injury and Risk Factor Collaborators · · 2025 · cited 686 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundFor more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associated risk factors.
Closing excerpt
FundingGates Foundation and Bloomberg Philanthropies.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (1,053 words)

BackgroundFor more than three decades, the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) has provided a framework to quantify health loss due to diseases, injuries, and associated risk factors. This paper presents GBD 2023 findings on disease and injury burden and risk-attributable health loss, offering a global audit of the state of world health to inform public health priorities. This work captures the evolving landscape of health metrics across age groups, sexes, and locations, while reflecting on the remaining post-COVID-19 challenges to achieving our collective global health ambitions.MethodsThe GBD 2023 combined analysis estimated years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs) for 375 diseases and injuries, and risk-attributable burden associated with 88 modifiable risk factors. Of the more than 310 000 total data sources used for all GBD 2023 (about 30% of which were new to this estimation round), more than 120 000 sources were used for estimation of disease and injury burden and 59 000 for risk factor estimation, and included vital registration systems, surveys, disease registries, and published scientific literature. Data were analysed using previously established modelling approaches, such as disease modelling meta-regression version 2.1 (DisMod-MR 2.1) and comparative risk assessment methods. Diseases and injuries were categorised into four levels on the basis of the established GBD cause hierarchy, as were risk factors using the GBD risk hierarchy. Estimates stratified by age, sex, location, and year from 1990 to 2023 were focused on disease-specific time trends over the 2010-23 period and presented as counts (to three significant figures) and age-standardised rates per 100 000 person-years (to one decimal place). For each measure, 95% uncertainty intervals [UIs] were calculated with the 2·5th and 97·5th percentile ordered values from a 250-draw distribution.FindingsTotal numbers of global DALYs grew 6·1% (95% UI 4·0-8·1), from 2·64 billion (2·46-2·86) in 2010 to 2·80 billion (2·57-3·08) in 2023, but age-standardised DALY rates, which account for population growth and ageing, decreased by 12·6% (11·0-14·1), revealing large long-term health improvements. Non-communicable diseases (NCDs) contributed 1·45 billion (1·31-1·61) global DALYs in 2010, increasing to 1·80 billion (1·63-2·03) in 2023, alongside a concurrent 4·1% (1·9-6·3) reduction in age-standardised rates. Based on DALY counts, the leading level 3 NCDs in 2023 were ischaemic heart disease (193 million [176-209] DALYs), stroke (157 million [141-172]), and diabetes (90·2 million [75·2-107]), with the largest increases in age-standardised rates since 2010 occurring for anxiety disorders (62·8% [34·0-107·5]), depressive disorders (26·3% [11·6-42·9]), and diabetes (14·9% [7·5-25·6]). Remarkable health gains were made for communicable, maternal, neonatal, and nutritional (CMNN) diseases, with DALYs falling from 874 million (837-917) in 2010 to 681 million (642-736) in 2023, and a 25·8% (22·6-28·7) reduction in age-standardised DALY rates. During the COVID-19 pandemic, DALYs due to CMNN diseases rose but returned to pre-pandemic levels by 2023. From 2010 to 2023, decreases in age-standardised rates for CMNN diseases were led by rate decreases of 49·1% (32·7-61·0) for diarrhoeal diseases, 42·9% (38·0-48·0) for HIV/AIDS, and 42·2% (23·6-56·6) for tuberculosis. Neonatal disorders and lower respiratory infections remained the leading level 3 CMNN causes globally in 2023, although both showed notable rate decreases from 2010, declining by 16·5% (10·6-22·0) and 24·8% (7·4-36·7), respectively. Injury-related age-standardised DALY rates decreased by 15·6% (10·7-19·8) over the same period. Differences in burden due to NCDs, CMNN diseases, and injuries persisted across age, sex, time, and location. Based on our risk analysis, nearly 50% (1·27 billion [1·18-1·38]) of the roughly 2·80 billion total global DALYs in 2023 were attributable to the 88 risk factors analysed in GBD. Globally, the five level 3 risk factors contributing the highest proportion of risk-attributable DALYs were high systolic blood pressure (SBP), particulate matter pollution, high fasting plasma glucose (FPG), smoking, and low birthweight and short gestation-with high SBP accounting for 8·4% (6·9-10·0) of total DALYs. Of the three overarching level 1 GBD risk factor categories-behavioural, metabolic, and environmental and occupational-risk-attributable DALYs rose between 2010 and 2023 only for metabolic risks, increasing by 30·7% (24·8-37·3); however, age-standardised DALY rates attributable to metabolic risks decreased by 6·7% (2·0-11·0) over the same period. For all but three of the 25 leading level 3 risk factors, age-standardised rates dropped between 2010 and 2023-eg, declining by 54·4% (38·7-65·3) for unsafe sanitation, 50·5% (33·3-63·1) for unsafe water source, and 45·2% (25·6-72·0) for no access to handwashing facility, and by 44·9% (37·3-53·5) for child growth failure. The three leading level 3 risk factors for which age-standardised attributable DALY rates rose were high BMI (10·5% [0·1 to 20·9]), drug use (8·4% [2·6 to 15·3]), and high FPG (6·2% [-2·7 to 15·6]; non-significant).InterpretationOur findings underscore the complex and dynamic nature of global health challenges. Since 2010, there have been large decreases in burden due to CMNN diseases and many environmental and behavioural risk factors, juxtaposed with sizeable increases in DALYs attributable to metabolic risk factors and NCDs in growing and ageing populations. This long-observed consequence of the global epidemiological transition was only temporarily interrupted by the COVID-19 pandemic. The substantially decreasing CMNN disease burden, despite the 2008 global financial crisis and pandemic-related disruptions, is one of the greatest collective public health successes known. However, these achievements are at risk of being reversed due to major cuts to development assistance for health globally, the effects of which will hit low-income countries with high burden the hardest. Without sustained investment in evidence-based interventions and policies, progress could stall or reverse, leading to widespread human costs and geopolitical instability. Moreover, the rising NCD burden necessitates intensified efforts to mitigate exposure to leading risk factors-eg, air pollution, smoking, and metabolic risks, such as high SBP, BMI, and FPG-including policies that promote food security, healthier diets, physical activity, and equitable and expanded access to potential treatments, such as GLP-1 receptor agonists. Decisive, coordinated action is needed to address long-standing yet growing health challenges, including depressive and anxiety disorders. Yet this can be only part of the solution. Our response to the NCD syndemic-the complex interaction of multiple health risks, social determinants, and systemic challenges-will define the future landscape of global health. To ensure human wellbeing, economic stability, and social equity, global action to sustain and advance health gains must prioritise reducing disparities by addressing socioeconomic and demographic determinants, ensuring equitable health-care access, tackling malnutrition, strengthening health systems, and improving vaccination coverage. We live in times of great opportunity.FundingGates Foundation and Bloomberg Philanthropies.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41092926 · DOI · PMC12535840

Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950-2023: a demographic analysis for the Global Burden of Disease Study 2023 [2]

Research article GBD 2023 Demographics Collaborators · · 2025 · cited 161 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundComprehensive, comparable, and timely estimates of demographic metrics-including life expectancy and age-specific mortality-are essential for evaluating, understanding, and addressing trends in population health.
Closing excerpt
FundingGates Foundation.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (913 words)

BackgroundComprehensive, comparable, and timely estimates of demographic metrics-including life expectancy and age-specific mortality-are essential for evaluating, understanding, and addressing trends in population health. The COVID-19 pandemic highlighted the importance of timely and all-cause mortality estimates for being able to respond to changing trends in health outcomes, showing a strong need for demographic analysis tools that can produce all-cause mortality estimates more rapidly with more readily available all-age vital registration (VR) data. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) is an ongoing research effort that quantifies human health by estimating a range of epidemiological quantities of interest across time, age, sex, location, cause, and risk. This study-part of the latest GBD release, GBD 2023-aims to provide new and updated estimates of all-cause mortality and life expectancy for 1950 to 2023 using a novel statistical model that accounts for complex correlation structures in demographic data across age and time.MethodsWe used 24 025 data sources from VR, sample registration, surveys, censuses, and other sources to estimate all-cause mortality for males, females, and all sexes combined across 25 age groups in 204 countries and territories as well as 660 subnational units in 20 countries and territories, for the years 1950-2023. For the first time, we used complete birth history data for ages 5-14 years, age-specific sibling history data for ages 15-49 years, and age-specific mortality data from Health and Demographic Surveillance Systems. We developed a single statistical model that incorporates both parametric and non-parametric methods, referred to as OneMod, to produce estimates of all-cause mortality for each age-sex-location group. OneMod includes two main steps: a detailed regression analysis with a generalised linear modelling tool that accounts for age-specific covariate effects such as the Socio-demographic Index (SDI) and a population attributable fraction (PAF) for all risk factors combined; and a non-parametric analysis of residuals using a multivariate kernel regression model that smooths across age and time to adaptably follow trends in the data without overfitting. We calibrated asymptotic uncertainty estimates using Pearson residuals to produce 95% uncertainty intervals (UIs) and corresponding 1000 draws. Life expectancy was calculated from age-specific mortality rates with standard demographic methods. For each measure, 95% UIs were calculated with the 25th and 975th ordered values from a 1000-draw posterior distribution.FindingsIn 2023, 60·1 million (95% UI 59·0-61·1) deaths occurred globally, of which 4·67 million (4·59-4·75) were in children younger than 5 years. Due to considerable population growth and ageing since 1950, the number of annual deaths globally increased by 35·2% (32·2-38·4) over the 1950-2023 study period, during which the global age-standardised all-cause mortality rate declined by 66·6% (65·8-67·3). Trends in age-specific mortality rates between 2011 and 2023 varied by age group and location, with the largest decline in under-5 mortality occurring in east Asia (67·7% decrease); the largest increases in mortality for those aged 5-14 years, 25-29 years, and 30-39 years occurring in high-income North America (11·5%, 31·7%, and 49·9%, respectively); and the largest increases in mortality for those aged 15-19 years and 20-24 years occurring in Eastern Europe (53·9% and 40·1%, respectively). We also identified higher than previously estimated mortality rates in sub-Saharan Africa for all sexes combined aged 5-14 years (87·3% higher in GBD 2023 than GBD 2021 on average across countries and territories over the 1950-2021 period) and for females aged 15-29 years (61·2% higher), as well as lower than previously estimated mortality rates in sub-Saharan Africa for all sexes combined aged 50 years and older (13·2% lower), reflecting advances in our modelling approach. Global life expectancy followed three distinct trends over the study period. First, between 1950 and 2019, there were considerable improvements, from 51·2 (50·6-51·7) years for females and 47·9 (47·4-48·4) years for males in 1950 to 76·3 (76·2-76·4) years for females and 71·4 (71·3-71·5) years for males in 2019. Second, this period was followed by a decrease in life expectancy during the COVID-19 pandemic, to 74·7 (74·6-74·8) years for females and 69·3 (69·2-69·4) years for males in 2021. Finally, the world experienced a period of post-pandemic recovery in 2022 and 2023, wherein life expectancy generally returned to pre-pandemic (2019) levels in 2023 (76·3 [76·0-76·6] years for females and 71·5 [71·2-71·8] years for males). 194 (95·1%) of 204 countries and territories experienced at least partial post-pandemic recovery in age-standardised mortality rates by 2023, with 61·8% (126 of 204) recovering to or falling below pre-pandemic levels. There were several mortality trajectories during and following the pandemic across countries and territories. Long-term mortality trends also varied considerably between age groups and locations, demonstrating the diverse landscape of health outcomes globally.InterpretationThis analysis identified several key differences in mortality trends from previous estimates, including higher rates of adolescent mortality, higher rates of young adult mortality in females, and lower rates of mortality in older age groups in much of sub-Saharan Africa. The findings also highlight stark differences across countries and territories in the timing and scale of changes in all-cause mortality trends during and following the COVID-19 pandemic (2020-23). Our estimates of evolving trends in mortality and life expectancy across locations, ages, sexes, and SDI levels in recent years as well as over the entire 1950-2023 study period provide crucial information for governments, policy makers, and the public to ensure that health-care systems, economies, and societies are prepared to address the world's health needs, particularly in populations with higher rates of mortality than previously known. The estimates from this study provide a robust framework for GBD and a valuable foundation for policy development, implementation, and evaluation around the world.FundingGates Foundation.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41092927 · DOI · PMC12535839

Global burden of prostate cancer: age-period-cohort analysis from 1990 to 2021 and projections until 2040 [3]

Research article Chu F, Chen L, Guan Q, Chen Z, Ji Q, Ma Y, et al. · · 2025 · cited 34 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundProstate cancer (PCa) is the second most common cancer among men worldwide.
Closing excerpt
Therefore, targeted programs should be implemented to strengthen prostate cancer diagnosis and treatment in these specific regions.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (433 words)

BackgroundProstate cancer (PCa) is the second most common cancer among men worldwide. This study uses data from the 2021 Global Burden of Disease (GBD) study to estimate the global burden of prostate cancer from 1990 to 2021.MethodsWe analyzed the incidence, mortality, and disability-adjusted life years (DALYs) of prostate cancer globally from 1990 to 2021. Based on the Sociodemographic Index (SDI), we used the estimated annual percentage change (EAPC) and Age-Period-Cohort model to compare the burden of disease across different age groups and regions with varying levels of development. Finally, we used the Bayesian Age-Period-Cohort model to predict the trend of changes in the disease burden of prostate cancer by 2040.ResultsIn 2021, the global age-standardized incidence rate (ASIR) of prostate cancer was 15.37 per 100,000, an increase from 13.69 per 100,000 in 1990. However, the age-standardized mortality rate (5.26 per 100,000) and DALY rate (95.94 per 100,000) decreased significantly compared to 1990. The burden of prostate cancer increased with age, but overall, the burden across all age groups was lower in 2021 than in 1990. The only exception was the incidence rate among individuals under 75 in 2021. High-income regions such as North America and Australia exhibited the highest burden in terms of ASIR, though there has been some reduction in recent years. Conversely, the burden of mortality and DALYs was highest in regions such as sub-Saharan Africa, West Africa, and the Caribbean, where rates have continued to rise. Correlation analysis between SDI and the EAPC of the disease burden showed a negative correlation between EAPC of prostate cancer mortality and DALYs with SDI. The APC analysis showed that in 2021, the ASIR of prostate cancer in high SDI regions was still significantly higher across all age groups compared to other regions. In regions with middle SDI and above, the age-standardized mortality rate and DALY rate decreased over time or across birth cohorts, with a faster decline in areas with higher SDI. By 2040, it is projected that the global ASIR of prostate cancer will reverse its current trend and increase, while the age-standardized mortality rate and DALY rate will continue to decline, and the counts of incidence, mortality, and DALYs will keep rising.ConclusionAlthough the global mortality rate and DALY rate for prostate cancer show a decreasing trend, the number of new cases, deaths, and DALYs continues to rise due to global population growth and the aging population, and the disease burden remains significant. Furthermore, there are substantial geographic disparities in the disease burden of prostate cancer. Therefore, targeted programs should be implemented to strengthen prostate cancer diagnosis and treatment in these specific regions.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40114188 · DOI · PMC11924780

Healthy dietary patterns, longevity genes, and life expectancy: A prospective cohort study [4]

Research article Lv Y, Song J, Ding D, Luo M, He FJ, Yuan C, et al. · · 2026 · cited 3 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Associations between healthy dietary patterns and life expectancy remain unclear.
Closing excerpt
Our findings underscore the advantages of healthy dietary patterns in prolonging life expectancy, regardless of longevity genes.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (158 words)

Associations between healthy dietary patterns and life expectancy remain unclear. Here, we reported the prospective associations of five dietary patterns with mortality and life expectancy in 103,649 UK Biobank participants. Over a median follow-up period of 10.6 years, 4314 total deaths were documented. Alternate Healthy Eating Index-2010, Alternate Mediterranean Diet (AMED), healthful Plant-based Diet Index (hPDI), Dietary Approaches to Stop Hypertension, and Diabetes Risk Reduction Diet (DRRD) were associated with lower all-cause mortality and longer life expectancy, with DRRD showing slightly stronger associations than hPDI. Compared with the bottom quintile, achieving the top quintile of dietary scores was associated with 1.9 to 3.0 years of life gained at 45 years in men and 1.5 to 2.3 years in women. The life gained was longest in DRRD for males and AMED for females. The significant associations remained when accounting for genetic susceptibility. Our findings underscore the advantages of healthy dietary patterns in prolonging life expectancy, regardless of longevity genes.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41686892 · DOI · PMC12904179

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019 [5]
    GBD 2019 Mental Disorders Collaborators · Lancet Psychiatry · 2022 · cited 4,511 times (Europe PMC)
  • Research article The global burden of low back pain: estimates from the Global Burden of Disease 2010 study [6]
    Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, et al. · Ann Rheum Dis · 2014 · cited 1,846 times (Europe PMC)
  • Research article Measuring the global burden of disease [7]
    Murray CJ, Lopez AD · N Engl J Med · 2013 · cited 1,190 times (Europe PMC)
  • Research article Years of potential life lost and life expectancy in schizophrenia: a systematic review and meta-analysis [8]
    Hjorthøj C, Stürup AE, McGrath JJ, Nordentoft M · Lancet Psychiatry · 2017 · cited 945 times (Europe PMC)
  • Research article Planning for tomorrow: global cancer incidence and the role of prevention 2020-2070 [9]
    Soerjomataram I, Bray F · Nat Rev Clin Oncol · 2021 · cited 725 times (Europe PMC)
  • Research article Excess early mortality in schizophrenia [10]
    Laursen TM, Nordentoft M, Mortensen PB · Annu Rev Clin Psychol · 2014 · cited 630 times (Europe PMC)

References

  1. GBD 2023 Disease and Injury and Risk Factor Collaborators. Burden of 375 diseases and injuries, risk-attributable burden of 88 risk factors, and healthy life expectancy in 204 countries and territories, including 660 subnational locations, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023. . 2025. PMID 41092926 · DOI · PMC12535840
  2. GBD 2023 Demographics Collaborators. Global age-sex-specific all-cause mortality and life expectancy estimates for 204 countries and territories and 660 subnational locations, 1950-2023: a demographic analysis for the Global Burden of Disease Study 2023. . 2025. PMID 41092927 · DOI · PMC12535839
  3. Chu F, Chen L, Guan Q, Chen Z, Ji Q, Ma Y, et al.. Global burden of prostate cancer: age-period-cohort analysis from 1990 to 2021 and projections until 2040. . 2025. PMID 40114188 · DOI · PMC11924780
  4. Lv Y, Song J, Ding D, Luo M, He FJ, Yuan C, et al.. Healthy dietary patterns, longevity genes, and life expectancy: A prospective cohort study. . 2026. PMID 41686892 · DOI · PMC12904179
  5. GBD 2019 Mental Disorders Collaborators. Global, regional, and national burden of 12 mental disorders in 204 countries and territories, 1990-2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet Psychiatry. 2022. PMID 35026139 · DOI · PMC8776563
  6. Hoy D, March L, Brooks P, Blyth F, Woolf A, Bain C, et al.. The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis. 2014. PMID 24665116 · DOI
  7. Murray CJ, Lopez AD. Measuring the global burden of disease. N Engl J Med. 2013. PMID 23902484 · DOI
  8. Hjorthøj C, Stürup AE, McGrath JJ, Nordentoft M. Years of potential life lost and life expectancy in schizophrenia: a systematic review and meta-analysis. Lancet Psychiatry. 2017. PMID 28237639 · DOI
  9. Soerjomataram I, Bray F. Planning for tomorrow: global cancer incidence and the role of prevention 2020-2070. Nat Rev Clin Oncol. 2021. PMID 34079102 · DOI
  10. Laursen TM, Nordentoft M, Mortensen PB. Excess early mortality in schizophrenia. Annu Rev Clin Psychol. 2014. PMID 24313570 · DOI

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  • NLM MeSH record ↗
  • PubMed search used ↗

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