Evidence map›Paper›PMID 42667055›Full record

ArticlePreventive oncology & epidemiology2026

Body size and composition trends in U.S. adults with a history of cancer: NHANES 1999-2018.

Benjamin Brockbank, Rand Talal Akasheh, Yevgeniya Gokun, Faiza Kalam, Cuthbert Mario Mahenge, Electra D Paskett, Ting-Yuan David Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive oncology & epidemiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Benjamin BrockbankSimmons Center for Cancer Research, Brigham Young University, Provo, UT, USA.
Rand Talal AkashehDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
Yevgeniya GokunCenter for Biostatistics, The Ohio State University College of Medicine, Columbus, OH, USA.
Faiza KalamDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
Cuthbert Mario MahengeDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.
Electra D PaskettDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-8247-8299
Ting-Yuan David ChengDivision of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, USA.ORCID 0000-0002-4105-828X

Funding

Energy Balance, mTOR pathway signaling, and breast cancer prognosisR37CA248371 · NCI · UNIVERSITY OF FLORIDA · PI Ting-Yuan Cheng · 2021 to 2026
$4.2M
NCI NIH HHS R37 CA248371
6 · The paper itself

Abstract

Background: We analyzed repeated cross-sectional trends in body size and composition among US adults with a history of cancer. Methods: Data from self-reported cancer survivors aged ≥ 20 years in the Continuous National Health and Nutrition Examination Survey 1999-2006 and 2011-2018 were analyzed. Outcomes included body mass index (BMI, Results: Across 19 years, average BMI increased from 27.1 kg/m Conclusion: Our findings highlight the need to address obesity and fat mass among cancer survivors.

Indexed as

Body compositioncancer survivorsdual-energy x-ray absorptiometrynational health and nutrition examination survey

Identifiers

PMID42667055
PMCPMC13524419

What OpenQuestion holds

Textmetadata
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.