Evidence map›Paper›PMID 25261292›Full record

Observational studyBreast cancer research and treatment2014

Diabetes, diabetes treatment and breast cancer prognosis.

Juhua Luo, Beth Virnig, Michael Hendryx, Sijin Wen, Rowan Chelebowski, Chu Chen, Tomas Rohan, Lesley Tinker, Jean Wactawski-Wende, Lawrence Lessin and 1 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Breast cancer research and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 3 pooled it
2.0field-weighted citation impact, top 13% 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

30 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
  6. Article
  7. Does diabetes affect breast cancer survival?Cancer reports (Hoboken, N.J.) · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Hyperinsulinemia in Obesity, Inflammation, and Cancer.Diabetes & metabolism journal · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 9 institutions in 1 country.

Juhua LuoDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, 1025 E. 7th Street, Bloomington, IN, 47405, USA, juhluo@indiana.edu.
Beth Virnig
Michael Hendryx
Sijin Wen
Rowan Chelebowski
Chu Chen
Tomas Rohan
Lesley Tinker
Jean Wactawski-Wende
Lawrence Lessin
Karen Margolis
Fred Hutch Cancer Center · USIndiana University Bloomington · USAlbert Einstein College of Medicine · USGeorge Washington University · USHealthPartners · USThe Lundquist Institute · USUniversity at Buffalo, State University of New York · USUniversity of Minnesota · USWest Virginia University · US

Funding

Diabetes, Metformin and Breast Cancer PrognosisR15CA179463 · NCI · TRUSTEES OF INDIANA UNIVERSITY · PI LUO, JUHUA · 2013 to 2013
$415k
NCI NIH HHS R15 CA179463NCI NIH HHS R15CA179463NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CWHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

The objectives of this study are to assess the impact of pre-existing diabetes and diabetes treatment on breast cancer prognosis. 8,108 women with centrally confirmed invasive breast cancer in the Women's Health Initiative diagnosed between 1998 and 2013 were followed through the date of death or September 20, 2013. Information on diabetes and diabetes therapy were obtained via self-report and face-to-face review of current medication containers, respectively. Cox proportional hazard regression was used to estimate adjusted relative hazard ratios for overall mortality. The proportional subdistribution hazard model was used to estimate hazard ratios for breast cancer-specific mortality. Compared with women without diabetes, women with diabetes had significantly increased risk of overall mortality (HR 1.26 95 % CI 1.06-1.48), especially among those who took insulin or had longer duration of diabetes. However, diabetes was not associated with increased risk of breast cancer-specific mortality, regardless of type of treatment and duration of diabetes, despite the significant association of diabetes with unfavorable tumor characteristics. Our large prospective cohort study provides additional evidence that pre-existing diabetes increases risk of total mortality among women with breast cancer. The increased total mortality associated with diabetes was mainly driven by increased risk of dying from diseases other than breast cancer. Thus, the continuum of care for breast cancer patients with diabetes should include careful attention to CVD risk factors and other non-cancer conditions.

Indexed as

AgedBreast NeoplasmsCohort StudiesDiabetes Mellitus, Type 2FemaleHumansKaplan-Meier EstimateMiddle AgedPrognosisProportional Hazards Models

Identifiers

PMID25261292
PMCPMC4393950
OpenAlexW2152985493

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.