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Survival Rate

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

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 6 min read

The proportion of survivors in a group, e.g., of patients, studied and followed over a period, or the proportion of persons in a specified group alive at the beginning of a time interval who survive to the end of the interval.

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 (1,093 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

The proportion of survivors in a group, e.g., of patients, studied and followed over a period, or the proportion of persons in a specified group alive at the beginning of a time interval who survive to the end of the interval. It is often studied using life table methods.

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: Rates, Survival; Rate, Survival; Survival Rates; Cumulative Survival Rate; Cumulative Survival Rates; Rate, Cumulative Survival; Rates, Cumulative Survival; Survival Rate, Cumulative.

Where it fits in the MeSH classification

Broader topics
Mortality

Research landscape

PubMed indexes 202,424 records tagged with the MeSH heading “Survival Rate” (counts retrieved 2026-10-29). 29,328 of them (14.5%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 80,686 records.

Reviews account for 20,758 records (10.3%) and meta-analyses for 3,586. Randomized controlled trials number 9,925 (4.9%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 39,725 records; 2000-2009: 52,685 records; 2010-2019: 80,686 records; 2020 onward: 29,328 records39,725through 199952,6852000-200980,6862010-201929,3282020 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 199939,725
2000-200952,685
2010-201980,686
2020 onward29,328
Share of records by publication typeReviews: 10.3 percent; Meta-analyses: 1.8 percent; Randomized controlled trials: 4.9 percentReviews10.3% (20,758)Meta-analyses1.8% (3,586)Randomized controlled trials4.9% (9,925)
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 202,424 PubMed records
TypeRecordsShare
Reviews20,75810.3%
Meta-analyses3,5861.8%
Randomized controlled trials9,9254.9%

Method: PubMed query "Survival Rate"[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
In-hospital mortality and successful weaning from venoarterial extracorporeal membrane oxygenation: analysis of 5,263 patients using a national inpatient database in Japan
Aso S, Matsui H, Fushimi K, Yasunaga H
2016Research article
Design not recorded in structured metadata
118cc by
PMID 27044572 · DOI · PMC4820970
Analysis of Delayed Surgical Treatment and Oncologic Outcomes in Clinical Stage I Non-Small Cell Lung Cancer
Heiden BT, Eaton DB, Engelhardt KE, Chang SH, Yan Y, Patel MR, et al.
2021Research article
Design not recorded in structured metadata
115cc by
PMID 34042991 · DOI · PMC8160592
Cancer survivorship in the age of YouTube and social media: a narrative analysis
Chou WY, Hunt Y, Folkers A, Augustson E
2011Research article
Design not recorded in structured metadata
102cc by
PMID 21247864 · DOI · PMC3221357
State Public Assistance Spending and Survival Among Adults With Cancer
Barnes JM, Johnston KJ, Johnson KJ, Chino F, Osazuwa-Peters N
2023Research article
Design not recorded in structured metadata
11cc by
PMID 37669050 · DOI · PMC10481229

In-hospital mortality and successful weaning from venoarterial extracorporeal membrane oxygenation: analysis of 5,263 patients using a national inpatient database in Japan [1]

Research article Aso S, Matsui H, Fushimi K, Yasunaga H · · 2016 · cited 118 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThe mortality rate of severely ill patients treated with venoarterial extracorporeal membrane oxygenation (VA-ECMO) remains unknown because of differences in patient background, clinical settings, and sample sizes between studies.
Closing excerpt
Further studies are warranted to clarify risk-adjusted mortality of VA-ECMO using more detailed data on patient background.
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 (220 words)

BackgroundThe mortality rate of severely ill patients treated with venoarterial extracorporeal membrane oxygenation (VA-ECMO) remains unknown because of differences in patient background, clinical settings, and sample sizes between studies. We determined the in-hospital mortality of VA-ECMO patients and the proportion weaned from VA-ECMO using a national inpatient database in Japan.MethodsPatients aged ≥ 19 years who received VA-ECMO during hospitalization for cardiogenic shock, pulmonary embolism, hypothermia, poisoning, or trauma between 1 July 2010 and 31 March 2013 were identified, using The Japanese Diagnosis Procedure Combination national inpatient database.ResultsThe primary outcome was in-hospital mortality and the secondary outcome was the proportion weaned from VA-ECMO. A total of 5263 patients received VA-ECMO during the study period. The majority of patients had cardiogenic shock (n = 4,658). The number of patients weaned from VA-ECMO was 3389 (64.4%) and in-hospital mortality after weaning from VA-ECMO was 1994 (37.9%). In-hospital mortality without cardiac arrest in the cardiogenic shock group was significantly lower than that in patients with cardiac arrest (70.5% vs. 77.1%, p ConclusionsThe present nationwide study showed high mortality rates in patients who received VA-ECMO, and in particular in patients with cardiogenic shock and in patients with cardiac arrest. Weaning from VA-ECMO did not necessarily result in survival. Further studies are warranted to clarify risk-adjusted mortality of VA-ECMO using more detailed data on patient background.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 27044572 · DOI · PMC4820970

Analysis of Delayed Surgical Treatment and Oncologic Outcomes in Clinical Stage I Non-Small Cell Lung Cancer [2]

Research article Heiden BT, Eaton DB, Engelhardt KE, Chang SH, Yan Y, Patel MR, et al. · · 2021 · cited 115 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ImportanceThe association between delayed surgical treatment and oncologic outcomes in patients with non-small cell lung cancer (NSCLC) is poorly understood given that prior studies have used imprecise definitions for the date of cancer diagnosis.
Closing excerpt
These findings suggest that patients with clinical stage I NSCLC should undergo expeditious treatment within that time frame.
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 (322 words)

ImportanceThe association between delayed surgical treatment and oncologic outcomes in patients with non-small cell lung cancer (NSCLC) is poorly understood given that prior studies have used imprecise definitions for the date of cancer diagnosis.ObjectiveTo use a uniform method to quantify surgical treatment delay and to examine its association with several oncologic outcomes.Design, setting, and participantsThis retrospective cohort study was conducted using a novel data set from the Veterans Health Administration (VHA) system. Included patients had clinical stage I NSCLC and were undergoing resection from 2006 to 2016 within the VHA system. Time to surgical treatment (TTS) was defined as the time between preoperative diagnostic computed tomography imaging and surgical treatment. We evaluated the association between TTS and several delay-associated outcomes using restricted cubic spline functions. Data analyses were performed in November 2021.ExposureWait time between cancer diagnosis and surgical treatment (ie, TTS).Main outcomes and measuresSeveral delay-associated oncologic outcomes, including pathologic upstaging, resection with positive margins, and recurrence, were assessed. We also assessed overall survival.ResultsAmong 9904 patients who underwent surgical treatment for clinical stage I NSCLC, 9539 (96.3%) were men, 4972 individuals (50.5%) were currently smoking, and the mean (SD) age was 67.7 (7.9) years. The mean (SD) TTS was 70.1 (38.6) days. TTS was not associated with increased risk of pathologic upstaging or positive margins. Recurrence was detected in 4158 patients (42.0%) with median (interquartile range) follow-up of 6.15 (2.51-11.51) years. Factors associated with increased risk of recurrence included younger age (hazard ratio [HR] for every 1-year increase in age, 0.992; 95% CI, 0.987-0.997; P = .003), higher Charlson Comorbidity Index score (HR for every 1-unit increase in composite score, 1.055; 95% CI, 1.037-1.073; P Conclusions and relevanceUsing a more precise definition for TTS, this study found that surgical procedures delayed more than 12 weeks were associated with increased risk of recurrence and worse survival. These findings suggest that patients with clinical stage I NSCLC should undergo expeditious treatment within that time frame.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 34042991 · DOI · PMC8160592

Cancer survivorship in the age of YouTube and social media: a narrative analysis [3]

Research article Chou WY, Hunt Y, Folkers A, Augustson E · · 2011 · cited 102 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundAs evidenced by the increasing popularity of YouTube (www.
Closing excerpt
Furthermore, the results of this descriptive study may inform development of narrative-based communication, particularly in maintaining authenticity and emotional engagement.
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 (255 words)

BackgroundAs evidenced by the increasing popularity of YouTube (www.youtube.com), personal narratives shared through social media are an area of rapid development in communication among cancer survivors. Identifying the thematic and linguistic characteristics of YouTube cancer stories can provide a better understanding of this naturally occurring communication channel and inform social media communication efforts aiming to use personal stories to reach individuals with serious illnesses.ObjectiveThe objective of our study was to provide an in-depth description of authentic personal cancer stories. Through a linguistically based narrative analysis of YouTube stories, the analysis explicates the common attributes of these narratives.MethodsInformed by narrative theories, we conducted an iterative, bottom-up analysis of 35 YouTube videos identified by the search terms "cancer survivor" and "cancer stories". A list of shared thematic and linguistic characteristics was identified and analyzed.ResultsA subnarrative on the cancer diagnosis was present in 86% (30/35) of the stories under analysis. These diagnostic narratives were characterized by dramatic tension, emotional engagement, markers of the loss of agency or control, depersonalized reference to the medical personnel, and the unexpectedness of a cancer diagnosis. The analysis highlights the themes of story authenticity and emotional engagement in this online communication medium.ConclusionsInternet advances have enabled new and efficient exchange of personal stories, including the sharing of personal cancer experience among cancer survivors and their caregivers. The analytic results of this descriptive study point to the common characteristics of authentic cancer survivorship stories online. Furthermore, the results of this descriptive study may inform development of narrative-based communication, particularly in maintaining authenticity and emotional engagement.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 21247864 · DOI · PMC3221357

State Public Assistance Spending and Survival Among Adults With Cancer [4]

Research article Barnes JM, Johnston KJ, Johnson KJ, Chino F, Osazuwa-Peters N · · 2023 · cited 11 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
ImportanceSocial determinants of health contribute to disparities in cancer outcomes.
Closing excerpt
State investment in public assistance programs may represent an important avenue to improve cancer outcomes through addressing social determinants of health and should be a topic of further investigation.
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 (296 words)

ImportanceSocial determinants of health contribute to disparities in cancer outcomes. State public assistance spending, including Medicaid and cash assistance programs for socioeconomically disadvantaged individuals, may improve access to care; address barriers, such as food and housing insecurity; and lead to improved cancer outcomes for marginalized populations.ObjectiveTo determine whether state-level public assistance spending is associated with overall survival (OS) among individuals with cancer, overall and by race and ethnicity.Design, setting, and participantsThis cohort study included US adults aged at least 18 years with a new cancer diagnosis from 2007 to 2013, with follow-up through 2019. Data were obtained from the Surveillance, Epidemiology, and End Results program. Data were analyzed from November 18, 2021, to July 6, 2023.ExposureDifferential state-level public assistance spending.Main outcome and measureThe main outcome was 6-year OS. Analyses were adjusted for age, race, ethnicity, sex, metropolitan residence, county-level income, state fixed effects, state-level percentages of residents living in poverty and aged 65 years or older, cancer type, and cancer stage.ResultsA total 2 035 977 individuals with cancer were identified and included in analysis, with 1 005 702 individuals (49.4%) aged 65 years or older and 1 026 309 (50.4%) male. By tertile of public assistance spending, 6-year OS was 55.9% for the lowest tertile, 55.9% for the middle tertile, and 56.6% for the highest tertile. In adjusted analyses, public assistance spending at the state-level was significantly associated with higher 6-year OS (0.09% [95% CI, 0.04%-0.13%] per $100 per capita; P Conclusions and relevanceThis cohort study found that state public assistance expenditures, including cash assistance programs and Medicaid, were associated with improved survival for individuals with cancer. State investment in public assistance programs may represent an important avenue to improve cancer outcomes through addressing social determinants of health and should be a topic of further investigation.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 37669050 · DOI · PMC10481229

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 The Strength of Association Between Surrogate End Points and Survival in Oncology: A Systematic Review of Trial-Level Meta-analyses [5]
    Prasad V, Kim C, Burotto M, Vandross A · JAMA Intern Med · 2015 · cited 312 times (Europe PMC)
  • Research article Early combination antibiotic therapy yields improved survival compared with monotherapy in septic shock: a propensity-matched analysis [6]
    Kumar A, Zarychanski R, Light B, Parrillo J, Maki D, Simon D, et al. · Crit Care Med · 2010 · cited 293 times (Europe PMC)
  • Research article Survival in adults and children with systemic lupus erythematosus: a systematic review and Bayesian meta-analysis of studies from 1950 to 2016 [7]
    Tektonidou MG, Lewandowski LB, Hu J, Dasgupta A, Ward MM · Ann Rheum Dis · 2017 · cited 185 times (Europe PMC)
  • Research article The association between geriatric syndromes and survival [8]
    Kane RL, Shamliyan T, Talley K, Pacala J · J Am Geriatr Soc · 2012 · cited 140 times (Europe PMC)
  • Research article Survival of Infants Born at Periviable Gestational Ages [9]
    Patel RM, Rysavy MA, Bell EF, Tyson JE · Clin Perinatol · 2017 · cited 132 times (Europe PMC)
  • Research article Comparing survival of a sample to that of a standard population [10]
    Finkelstein DM, Muzikansky A, Schoenfeld DA · J Natl Cancer Inst · 2003 · cited 131 times (Europe PMC)

References

  1. Aso S, Matsui H, Fushimi K, Yasunaga H. In-hospital mortality and successful weaning from venoarterial extracorporeal membrane oxygenation: analysis of 5,263 patients using a national inpatient database in Japan. . 2016. PMID 27044572 · DOI · PMC4820970
  2. Heiden BT, Eaton DB, Engelhardt KE, Chang SH, Yan Y, Patel MR, et al.. Analysis of Delayed Surgical Treatment and Oncologic Outcomes in Clinical Stage I Non-Small Cell Lung Cancer. . 2021. PMID 34042991 · DOI · PMC8160592
  3. Chou WY, Hunt Y, Folkers A, Augustson E. Cancer survivorship in the age of YouTube and social media: a narrative analysis. . 2011. PMID 21247864 · DOI · PMC3221357
  4. Barnes JM, Johnston KJ, Johnson KJ, Chino F, Osazuwa-Peters N. State Public Assistance Spending and Survival Among Adults With Cancer. . 2023. PMID 37669050 · DOI · PMC10481229
  5. Prasad V, Kim C, Burotto M, Vandross A. The Strength of Association Between Surrogate End Points and Survival in Oncology: A Systematic Review of Trial-Level Meta-analyses. JAMA Intern Med. 2015. PMID 26098871 · DOI
  6. Kumar A, Zarychanski R, Light B, Parrillo J, Maki D, Simon D, et al.. Early combination antibiotic therapy yields improved survival compared with monotherapy in septic shock: a propensity-matched analysis. Crit Care Med. 2010. PMID 20639750 · DOI
  7. Tektonidou MG, Lewandowski LB, Hu J, Dasgupta A, Ward MM. Survival in adults and children with systemic lupus erythematosus: a systematic review and Bayesian meta-analysis of studies from 1950 to 2016. Ann Rheum Dis. 2017. PMID 28794077 · DOI
  8. Kane RL, Shamliyan T, Talley K, Pacala J. The association between geriatric syndromes and survival. J Am Geriatr Soc. 2012. PMID 22568483 · DOI
  9. Patel RM, Rysavy MA, Bell EF, Tyson JE. Survival of Infants Born at Periviable Gestational Ages. Clin Perinatol. 2017. PMID 28477661 · DOI · PMC5424630
  10. Finkelstein DM, Muzikansky A, Schoenfeld DA. Comparing survival of a sample to that of a standard population. J Natl Cancer Inst. 2003. PMID 14519749 · DOI

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

202,424
PubMed records on this heading
14%
published since 2020
20,758
review articles
9,925
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

Related topics See all →

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