Evidence map›Paper›PMID 32146553›Full record

ArticleCancer causes & control : CCC2020

Diabetes and cardiovascular disease mortality among a population-based cohort of women with and without breast cancer.

Luis A Rodriguez, Patrick T Bradshaw, Humberto Parada, Nikhil K Khankari, Tengteng Wang, Rebecca J Cleveland, Susan L Teitelbaum, Alfred I Neugut, Marilie D Gammon

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer causes & control : CCC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors.

Luis A RodriguezDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-9694-6842
Patrick T BradshawDivision of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, Berkeley, CA, USA. pbradshaw@berkeley.edu.
Humberto ParadaDivision of Epidemiology and Biostatistics, San Diego State University School of Public Health, San Diego, CA, USA.
Nikhil K KhankariDivision of Epidemiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Tengteng WangDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.
Rebecca J ClevelandDepartment of Medicine, University of North Carolina, Chapel Hill, NC, USA.
Susan L TeitelbaumDepartment of Environmental Medicine and Public Health, Icahn School of Medicine At Mount Sinai, New York, NY, USA.
Alfred I NeugutDepartments of Medicine and Epidemiology, Columbia University, New York, NY, USA.
Marilie D GammonDepartment of Epidemiology, University of North Carolina, Chapel Hill, NC, USA.

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
UNC Oncology K12K12CA120780 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WILLIAM Y. KIM · 2007 to 2026
$9.6M
BREAST CANCER AND THE ENVIRONMENT ON LONG ISLANDU01CA066572 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI GAMMON, MARILIE D · 1995 to 2004
$1.7M
Race/Ethnic Specific Association Between Anthropometry, Liver Fat and Incident Type 2 Diabetes: Evidence from The Multi-Ethnic Study of AtherosclerosisF31DK115029 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RODRIGUEZ, LUIS A · 2018 to 2020
$102k
National Institutes of Health (US) UO1CA/ES66572NCI NIH HHS K12 CA120780NCI NIH HHS U01 CA066572NIDDK NIH HHS F31 DK115029NIDDK NIH HHS F31DK115029NIEHS NIH HHS P30 ES010126NIH HHS CA120780NIH HHS P30ES10126Susan G. Komen for the Cure KG101573
6 · The paper itself

Abstract

purposeWe investigated whether the relationship between diabetes and all-cause and CVD-related mortality differed between women with and without breast cancer among a cohort drawn from the same source population.

methodsWe interviewed 1,363 women newly diagnosed with breast cancer in 1996-1997, and 1,358 age-matched women without breast cancer, to assess history of physician-diagnosed diabetes. All-cause (n = 631) and CVD-specific mortality (n = 234) was determined by the National Death Index through 2009. We estimated multivariable-adjusted hazard ratios (HRs) for the rates of all-cause and CVD-specific mortality and, to account for competing causes of death, and subdistribution HRs (sHRs) for risk of CVD-related death.

resultsAmong women with and without breast cancer, respectively, diabetes was associated with: all-cause mortality [HR (95% CI) 1.52 (1.13, 2.05) and 2.17 (1.46, 3.22)]; CVD-specific deaths [1.74 (1.06, 2.84) and 2.06 (1.11, 3.84)]; and risk of CVD-related death [sHR 1.36 (0.81, 2.27) and 1.79 (0.94, 3.40)]. Differences in effect estimates between women with and without breast cancer did not reach statistical significance (p-interaction > 0.10).

conclusionWe found that the positive association between a history of physician-diagnosed diabetes and risk of all-cause and CVD-related mortality is of similar magnitude among a population-based cohort of women with or without breast cancer.

Indexed as

AdultAgedBreast NeoplasmsCardiovascular DiseasesCohort StudiesDiabetes MellitusFemaleHumansMiddle AgedProportional Hazards ModelsBreast cancerCardiovascular diseaseMortalityType 2 diabetes

Identifiers

PMID32146553
PMCPMC11851095

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.