Evidence map›Paper›PMID 26545405›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2016

Body Mass Index at Diagnosis and Breast Cancer Survival Prognosis in Clinical Trial Populations from NRG Oncology/NSABP B-30, B-31, B-34, and B-38.

Reena S Cecchini, Sandra M Swain, Joseph P Costantino, Priya Rastogi, Jong-Hyeon Jeong, Stewart J Anderson, Gong Tang, Charles E Geyer, Barry C Lembersky, Edward H Romond and 2 more

Open access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 3 pooled it
1.7field-weighted citation impact, top 14% 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

22 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
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  17. The Impact of Diet on Breast Cancer Outcomes.Current nutrition reports · 2019
    Review
  18. Impact of body composition on outcome in patients with early breast cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Article
  19. Article
  20. Longitudinal patterns and associated factors of postdiagnosis weight changes in Korean breast cancer survivors with normal body mass index.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    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

12 authors at 2 institutions in 1 country.

Reena S CecchiniNRG Oncology, Pittsburgh, Pennsylvania. University of Pittsburgh, Pittsburgh, Pennsylvania. cecchinir@nrgoncology.org.
Sandra M SwainNRG Oncology/NSABP, Pittsburgh, Pennsylvania. Washington Cancer Institute, MedStar Washington Hospital Center, Washington, District of Columbia.
Joseph P CostantinoNRG Oncology, Pittsburgh, Pennsylvania. University of Pittsburgh, Pittsburgh, Pennsylvania.
Priya RastogiNRG Oncology/NSABP, Pittsburgh, Pennsylvania. University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania.
Jong-Hyeon JeongNRG Oncology, Pittsburgh, Pennsylvania. University of Pittsburgh, Pittsburgh, Pennsylvania.
Stewart J AndersonNRG Oncology, Pittsburgh, Pennsylvania. University of Pittsburgh, Pittsburgh, Pennsylvania.
Gong TangNRG Oncology, Pittsburgh, Pennsylvania. University of Pittsburgh, Pittsburgh, Pennsylvania.
Charles E GeyerNRG Oncology/NSABP, Pittsburgh, Pennsylvania. Virginia Commonwealth University (VCU) Massey Cancer Center, Richmond, Virginia.
Barry C LemberskyNRG Oncology/NSABP, Pittsburgh, Pennsylvania. University of Pittsburgh Cancer Institute, Pittsburgh, Pennsylvania.
Edward H RomondNRG Oncology/NSABP, Pittsburgh, Pennsylvania. Lucille Parker Markey Cancer Center, University of Kentucky, Lexington, Kentucky.
Alexander H G PatersonNRG Oncology/NSABP, Pittsburgh, Pennsylvania. Tom Baker Cancer Centre, Calgary, AB, Canada.
Norman WolmarkNRG Oncology/NSABP, Pittsburgh, Pennsylvania. Allegheny Cancer Center at Allegheny General Hospital, Pittsburgh, Pennsylvania.
University of Pittsburgh · USUPMC Hillman Cancer Center · US

Funding

NRG Oncology Network Group Operations Center - GY9 BIQSFP Reports/BudgetsU10CA180868 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI NORMAN WOLMARK · 2014 to 2026
$206.8M
Statistics CoreU10CA180822 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI James J. Dignam, GREG YOTHERS · 2014 to 2026
$146.4M
NRG Oncology NCORP Research Base-BIQSFPUG1CA189867 · NCI · NRG ONCOLOGY FOUNDATION, INC. · PI Deborah Watkins Bruner, Lisa A. Kachnic · 2014 to 2026
$140.5M
NCI NCTN-Network Lead Academic Participating Site at UPMC Hillman Cancer CenterUG1CA233184 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ADAM M BRUFSKY, John Munn Kirkwood · 2019 to 2026
$7.7M
NCI NCTN-Network Lead Academic Site at UPCIU10CA180844 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BRUFSKY, ADAM M, EDWARDS, ROBERT PAGE · 2014 to 2018
$4.5M
NCI NIH HHS CA-189867NCI NIH HHS U10 CA180822NCI NIH HHS U10-CA-180822NCI NIH HHS U10 CA180844NCI NIH HHS U10 CA180868NCI NIH HHS U10-CA-180868NCI NIH HHS UG1 CA189867NCI NIH HHS UG1 CA233184
6 · The paper itself

Abstract

backgroundBody mass index (BMI) has been associated with breast cancer outcomes. However, few studies used clinical trial settings where treatments and outcomes are consistently evaluated and documented. There are also limited data assessing how patient/disease characteristics and treatment may alter the BMI-breast cancer association.

methodsWe evaluated 15,538 breast cancer participants from four NSABP protocols. B-34 studied early-stage breast cancer patients (N = 3,311); B-30 and B-38 included node-positive breast cancer patients (N = 5,265 and 4,860); and B-31 studied node-positive and HER2-positive breast cancer patients (N = 2,102). We used Cox proportional hazards regression to calculate adjusted hazards ratios (HR) for risk of death and recurrence, and conducted separate analyses by estrogen receptor (ER) status and treatment group.

resultsIn B-30, increased BMI was significantly related to survival. Compared with BMI < 25, HRs were 1.04 for BMI 25 to 29.9 and 1.18 for BMI ≥ 30 (P = 0.02). Separate analyses indicated the significant relationship was only in ER-positive disease (P = 0.002) and the subgroup treated with doxorubicin/cyclophosphamide (P = 0.005). There were no significant trends across BMI for the other three trials. Similar results were found for recurrence. Increased BMI was significantly related to recurrence in B-30 (P = 0.03); and the significant relationship was only in ER-positive breast cancers (P = 0.001). Recurrence was also significant among ER-positive disease in B-38 (P = 0.03).

conclusionsIn our investigation, we did not find a consistent relationship between BMI at diagnosis and breast cancer recurrence or death. IMPACT: This work demonstrates that the heterogeneity of breast cancer between different breast cancer populations and the different therapies used to treat them may modify any association that exists between BMI and breast cancer outcome.

Indexed as

Body Mass IndexBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansImmunoenzyme TechniquesMiddle AgedNeoplasm StagingPrognosisReceptors, EstrogenSurvival RateBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, Estrogen

Identifiers

PMID26545405
PMCPMC4713289
OpenAlexW2122236503

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.