Evidence map›Paper›PMID 31875358›Full record

Observational studyCancer medicine2020

The association between DXA-derived body fat measures and breast cancer risk among postmenopausal women in the Women's Health Initiative.

Rhonda S Arthur, Xiaonan Xue, Victor Kamensky, Rowan T Chlebowski, Michael Simon, Juhua Luo, Aladdin H Shadyab, Marian L Neuhouser, Hailey Banack, Gloria Y F Ho and 6 more

Open access · goldAbstract readMulticenter StudyObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Effects of Obesity and Calorie Restriction on Cancer Development.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Observational
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

16 authors at 11 institutions in 2 countries.

Rhonda S ArthurDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.ORCID 0000-0002-3241-2945
Xiaonan XueDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Victor KamenskyDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Rowan T ChlebowskiLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Michael SimonDepartment of Oncology, Karmanos Cancer Institute, Detroit, MI, USA.ORCID 0000-0002-3237-6761
Juhua LuoDepartments of Epidemiology and Biostatistics, School of Public Health, Indiana University Bloomington, Bloomington, IN, USA.
Aladdin H ShadyabDivision of Epidemiology, Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA, USA.
Marian L NeuhouserCancer Prevention Program, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Hailey BanackDepartment of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, The State University of New York, Buffalo, NY, USA.
Gloria Y F HoFeinstein Institute for Medical Research, Northwell Health, and Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY, USA.
Dorothy S LaneDepartment of Preventive Medicine, Stony Brook University School of Medicine, Stony Brook, NY, USA.
Kathy PanLos Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA.
Kerryn W RedingUniversity of Washington School of Nursing, Seattle, WA, USA.
Sylvia Wassertheil-SmollerDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Andrew J DannenbergWeill Cornell Medical College, New York, NY, USA.
Thomas E RohanDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Albert Einstein College of Medicine · USThe Lundquist Institute · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZACornell University · USIndiana University Bloomington · USNorthwell Health · USStony Brook Medicine · USThe Barbara Ann Karmanos Cancer Institute · USUniversity at Buffalo, State University of New York · USUniversity of California San Diego · USUniversity of Washington · US

Funding

Stable Isotope and Metabolomics CoreP60DK020541 · NIDDK · YESHIVA UNIVERSITY · PI FLEISCHER, NORMAN S. · 1986 to 2014
$29.8M
Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI STREAMSON C CHUA · 2015 to 2026
$27.7M
NHLBI NIH HHS HHSN268201600001CNHLBI NIH HHS HHSN268201600002CNHLBI NIH HHS HHSN268201600003CNHLBI NIH HHS HHSN268201600004CNHLBI NIH HHS HHSN268201600018CNIDDK NIH HHS P30 DK020541NIDDK NIH HHS P60 DK020541
6 · The paper itself

Abstract

backgroundMost studies demonstrating an association between excess adiposity and postmenopausal breast cancer have used anthropometric measures, particularly body mass index (BMI). However, more direct body fat measures may more accurately determine the relationship between body fat distribution and breast cancer risk.

methodsCox proportional hazards regression models were created to examine the associations of dual-energy x-ray absorptiometry (DXA) body fat measures (at baseline and during follow-up) with breast cancer risk among 10 931 postmenopausal women from the Women's Health Initiative cohort. A total of 639 incident invasive breast cancer cases (including 484 estrogen receptor positive (ER+) cases) were ascertained after a median follow-up of 15.0 years.

resultsExcess whole body fat mass and trunk fat mass were positively associated with risk invasive breast cancer risk. These associations persisted even after additional adjustment for standard anthropometric measures. In time-dependent analyses, we observed that both whole body fat mass and trunk fat mass, in the highest versus lowest category, were associated with a doubling of risk of invasive breast cancer overall (HR: 2.17; 95% CI: 1.54-3.05 and 2.20; 1.55-3.14, respectively) and of ER+ breast cancer (2.05; 1.37-3.05 and 2.03; 1.34-3.07, respectively). The remaining DXA measures were also positively associated with breast cancer risk in baseline and time-dependent analyses.

conclusionThese findings suggest that DXA-derived body fat measures are positively associated with breast cancer risk after adjustment for BMI and other conventional breast cancer risk factors.

Indexed as

AdiposityAbsorptiometry, PhotonAdipose TissueBody Mass IndexBreastBreast NeoplasmsFemaleFollow-Up StudiesHumansIncidenceMiddle AgedNeoplasm InvasivenessOdds RatioPostmenopauseRisk AssessmentRisk Factorsbody fatbreast cancer riskpostmenopausal women

Identifiers

PMID31875358
PMCPMC7013066
OpenAlexW2996959370

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.