Evidence map›Paper›PMID 19088353›Full record

SynthesisJAMA2008

Long-term all-cause mortality in cancer patients with preexisting diabetes mellitus: a systematic review and meta-analysis.

Bethany B Barone, Hsin-Chieh Yeh, Claire F Snyder, Kimberly S Peairs, Kelly B Stein, Rachel L Derr, Antonio C Wolff, Frederick L Brancati

Open access · greenAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 464 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
464citing papers in PubMed, 6 pooled it
17.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

464 citing papers in PubMed, 6 syntheses or guidelines pooled it, 889 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. The Effect of Diabetes Mellitus on Prognosis of Patients with Non-Small-Cell Lung Cancer: A Systematic Review and Meta-Analysis.Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia · 2020
    Pooled it
  6. Pooled it
  7. Trial
  8. Trial
  9. Article
  10. Article
  11. Article
  12. Article
  13. Diabetes and cancer: glucose control impact on survival and tumor outcomes.Reviews in endocrine & metabolic disorders · 2026
    Review
  14. Article
  15. Article
  16. p53 and p21 Status Influences Cellular Response to Metformin inCurrent issues in molecular biology · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

404 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Bethany B BaroneDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
Hsin-Chieh Yeh
Claire F Snyder
Kimberly S Peairs
Kelly B Stein
Rachel L Derr
Antonio C Wolff
Frederick L Brancati
Johns Hopkins University · US

Funding

Institute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8M
JHU-UMD Diabetes Research CenterP30DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WONDISFORD, FREDRIC E. · 2013 to 2017
$9.7M
Diabetes Research and Training CenterP60DK079637 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI WONDISFORD, FREDRIC E. · 2008 to 2012
$9.1M
Clinical Research&Epidemiology in Diabetes&EndocrinologyT32DK062707 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Wendy Lynet Bennett · 2002 to 2026
$7.3M
Patient Oriented Research in Type 2 DiabetesK24DK062222 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI BRANCATI, FREDERICK L · 2002 to 2011
$1.7M
NCRR NIH HHS UL1 RR 025005NCRR NIH HHS UL1 RR025005NIDDK NIH HHS K24 DK062222NIDDK NIH HHS K24-DK62222NIDDK NIH HHS P30 DK079637NIDDK NIH HHS P60 DK079637NIDDK NIH HHS T32 DK062707PHS HHS T32HP10025-14
6 · The paper itself

Abstract

contextDiabetes mellitus appears to be a risk factor for some cancers, but the effect of preexisting diabetes on all-cause mortality in newly diagnosed cancer patients is less clear.

objectiveTo perform a systematic review and meta-analysis comparing overall survival in cancer patients with and without preexisting diabetes. DATA SOURCES: We searched MEDLINE and EMBASE through May 15, 2008, including references of qualifying articles. STUDY SELECTION: English-language, original investigations in humans with at least 3 months of follow-up were included. Titles, abstracts, and articles were reviewed by at least 2 independent readers. Of 7858 titles identified in our original search, 48 articles met our criteria. DATA EXTRACTION: One reviewer performed a full abstraction and other reviewers verified accuracy. We contacted authors and obtained additional information for 3 articles with insufficient reported data.

resultsStudies reporting cumulative survival rates were summarized qualitatively. Studies reporting Cox proportional hazard ratios (HRs) or Poisson relative risks were combined in a meta-analysis. A random-effects model meta-analysis of 23 articles showed that diabetes was associated with an increased mortality HR of 1.41 (95% confidence interval [CI], 1.28-1.55) compared with normoglycemic individuals across all cancer types. Subgroup analyses by type of cancer showed increased risk for cancers of the endometrium (HR, 1.76; 95% CI, 1.34-2.31), breast (HR, 1.61; 95% CI, 1.46-1.78), and colorectum (HR, 1.32; 95% CI, 1.24-1.41).

conclusionsPatients diagnosed with cancer who have preexisting diabetes are at increased risk for long-term, all-cause mortality compared with those without diabetes.

Indexed as

Cause of DeathComorbidityDiabetes MellitusHumansNeoplasmsRisk FactorsSurvival Analysis

Identifiers

PMID19088353
PMCPMC3093051
OpenAlexW1968234252

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.