Evidence map›Paper›PMID 33151547›Full record

ArticleCancer2021

Cardiometabolic risk factors and survival after cancer in the Women's Health Initiative.

Michael S Simon, Theresa A Hastert, Ana Barac, Hailey R Banack, Bette J Caan, Rowan T Chlebowski, Randi Foraker, Gayane Hovsepyan, Simin Liu, Juhua Luo and 11 more

Abstract read
In one paragraph

Article in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Effects of a Physical Activity mHealth Intervention (Fit2Thrive) on WCRF/AICR Cancer Prevention Recommendations among Breast Cancer Survivors: A Secondary Data Analysis.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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  15. Classification Prediction of Breast Cancer Based on Machine Learning.Computational intelligence and neuroscience · 2023
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  20. Uterine serous carcinoma.Gynecologic oncology · 2021
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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

21 authors.

Michael S SimonDepartment of Oncology, Barbara Ann Karmanos Cancer Institute at Wayne State University, Detroit, Michigan.ORCID 0000-0002-3237-6761
Theresa A HastertDepartment of Oncology, Barbara Ann Karmanos Cancer Institute at Wayne State University, Detroit, Michigan.ORCID 0000-0001-6251-6422
Ana BaracMedStar Heart and Vascular Institute, MedStar Washington Hospital Center, Georgetown University, Washington, DC.
Hailey R BanackDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, New York.
Bette J CaanDivision of Research, Kaiser Permanente Medical Program of Northern California, Oakland, California.
Rowan T ChlebowskiLundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, California.ORCID 0000-0002-4212-6184
Randi ForakerInstitute for Informatics, School of Medicine, Washington University in St. Louis, St. Louis, Missouri.
Gayane HovsepyanWayne State University School of Medicine, Detroit, Michigan.
Simin LiuDepartment of Epidemiology, Brown University, Providence, Rhode Island.
Juhua LuoDepartment of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, Indiana.
JoAnn E MansonDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts.
Marian L NeuhouserCancer Prevention Program, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Tochukwu M OkwuosaDivision of Cardiology, Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois.
Kathy PanLundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, California.
Lihong QiDepartment of Public Health Sciences, University of California Davis School of Medicine, Davis, California.
Julie J RuterbuschDepartment of Oncology, Barbara Ann Karmanos Cancer Institute at Wayne State University, Detroit, Michigan.
Aladdin H ShadyabDepartment of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, California.
Cynthia A ThomsonDepartment of Health Promotion Sciences, Mel & Enid Zuckerman College of Public Health and Arizona Cancer Center, University of Arizona, Tucson, Arizona.
Jean Wactawski-WendeDepartment of Epidemiology and Environmental Health, University at Buffalo, Buffalo, New York.
Nida WaheedDepartment of Medicine, University of Florida, Gainesville, Florida.
Jennifer L Beebe-DimmerDepartment of Oncology, Barbara Ann Karmanos Cancer Institute at Wayne State University, Detroit, Michigan.ORCID 0000-0002-4320-739X

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
Women's Health Initiative Clinical Coordinating CenterN01WH22110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PRENTICE, ROSS L · 2007 to 2010
$22.5M
Women's Health Initiative Cancer Survivor CohortUM1CA173642 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L., CAAN, BETTE J · 2013 to 2018
$12.1M
Life and Longevity After Cancer (LILAC): The Women's Health Initiative Cancer Survivor CohortU01CA173642 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ANDERSON, GARNET L., PASKETT, ELECTRA D. · 2019 to 2023
$7.5M
Genetic and Biochemical Predictors of Type 2 DM in WomenR01DK062290 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, SIMIN · 2002 to 2006
$2.6M
Asprosin, body weight, and risk of type 2 diabetes in U.S. men and womenR01DK125403 · NIDDK · UNIVERSITY OF CALIFORNIA-IRVINE · PI LIU, SIMIN · 2020 to 2022
$2.1M
WOMENS HEALTH INITIATIVE-N01WH22110N01WH022110 · WH · FRED HUTCHINSON CANCER RESEARCH CENTER · PI ROSS, PRENTICE · 1992 to 2006
$1.2M
Telomere and its bio-regulators as predictors for clinical diabetes in womenR21DK084452 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LIU, SIMIN · 2009 to 2010
$445k
A Culturally-Tailored Weight Loss ProgramR21CA100720 · NCI · WAYNE STATE UNIVERSITY · PI SIMON, MICHAEL S · 2004 to 2005
$408k
STUDIES OF THE ALLOIMMUNE RESPONSE TO F VIII COAGULANTR01HL032115 · NHLBI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI REISNER, HOWARD M · 1985 to 1986
–
NCI NIH HHS P30 CA022453NCI NIH HHS R21 CA100720NCI NIH HHS U01 CA173642NCI NIH HHS UM1 CA173642NHLBI NIH HHS 24152NHLBI NIH HHS 32100-2NHLBI NIH HHS 32105-6NHLBI NIH HHS 32108-9NHLBI NIH HHS 32111-13NHLBI NIH HHS 32115NHLBI NIH HHS 32118-32119NHLBI NIH HHS 32122NHLBI NIH HHS 42107-26NHLBI NIH HHS 42129-32NHLBI NIH HHS 44221NHLBI NIH HHS N01WH22110NIDDK NIH HHS R01 DK062290NIDDK NIH HHS R21 DK084452WHI NIH HHS N01 WH022110
6 · The paper itself

Abstract

backgroundCardiometabolic abnormalities are a leading cause of death among women, including women with cancer.

methodsThis study examined the association between prediagnosis cardiovascular health and total and cause-specific mortality among 12,076 postmenopausal women who developed local- or regional-stage invasive cancer in the Women's Health Initiative (WHI). Cardiovascular risk factors included waist circumference, hypertension, high cholesterol, and type 2 diabetes. Obesity-related cancers included breast cancer, colorectal cancer, endometrial cancer, kidney cancer, pancreatic cancer, ovarian cancer, stomach cancer, liver cancer, and non-Hodgkin lymphoma. Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) adjusted for important predictors of survival.

resultsAfter a median follow-up of 10.0 years from the date of the cancer diagnosis, there were 3607 total deaths, with 1546 (43%) due to cancer. Most participants (62.9%) had 1 or 2 cardiometabolic risk factors, and 8.1% had 3 or 4. In adjusted models, women with 3 to 4 risk factors (vs none) had a higher risk of all-cause mortality (HR, 1.99; 95% CI, 1.73-2.30), death due to cardiovascular disease (CVD) (HR, 4.01; 95% CI, 2.88-5.57), cancer-specific mortality (HR, 1.37; 95% CI, 1.1-1.72), and other-cause mortality (HR, 2.14; 95% CI, 1.70-2.69). A higher waist circumference was associated with greater all-cause mortality (HR, 1.17; 95% CI, 1.06-1.30) and cancer-specific mortality (HR, 1.22; 95% CI, 1.04-1.42).

conclusionsAmong postmenopausal women diagnosed with cancer in the WHI, cardiometabolic risk factors before the cancer diagnosis were associated with greater all-cause, CVD, cancer-specific, and other-cause mortality. These results raise hypotheses regarding potential clinical intervention strategies targeting cardiometabolic abnormalities that require future prospective studies for confirmation. LAY SUMMARY: This study uses information from the Women's Health Initiative (WHI) to find out whether cardiac risk factors are related to a greater risk of dying among older women with cancer. The WHI is the largest study of medical problems faced by older women in this country. The results show that women who have 3 or 4 risk factors are more likely to die of any cause, heart disease, or cancer in comparison with women with no risk factors. It is concluded that interventions to help to lower the burden of cardiac risk factors can have an important impact on survivorship among women with cancer.

Indexed as

Cardiometabolic Risk FactorsAgedBreast NeoplasmsCardiovascular DiseasesCause of DeathDiabetes Mellitus, Type 2Endometrial NeoplasmsFemaleFollow-Up StudiesHumansKidney NeoplasmsMiddle AgedObesityOvarian NeoplasmsPancreatic NeoplasmsPostmenopausecancercardiometabolic risk factorssurvivalWomen's Health Initiative

Identifiers

PMID33151547
PMCPMC10448774

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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.