Evidence map›Paper›PMID 41281960›Full record

ArticleJournal of registry management2025

Quantifying Cancer Burden Attributable to Obesity: Highlighting the Disparities by Sex, Race, and Ethnicity in a Rural State with High Obesity and Cancer Burden.

Daniela Ramirez Aguilar, Yong-Moon Park, Mario Schootman, Jaimi L Allen, Michael R Thomsen, Nithya Neelakantan, Bala Simon

Abstract read
In one paragraph

Article in Journal of registry management, 2025. 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.

Daniela Ramirez AguilarArkansas Department of Health, Little Rock, Arkansas.
Yong-Moon ParkUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Mario SchootmanUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Jaimi L AllenUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Michael R ThomsenUniversity of Arkansas for Medical Sciences, Little Rock, Arkansas.
Nithya NeelakantanArkansas Department of Health, Little Rock, Arkansas.
Bala SimonArkansas Department of Health, Little Rock, Arkansas.

Funding

Understanding disparities in cardiovascular toxicity among breast cancer survivors in ArkansasK01HL175206 · NHLBI · UNIV OF ARKANSAS FOR MED SCIS · PI Yong-Moon Mark Park · 2024 to 2026
$467k
NHLBI NIH HHS K01 HL175206
6 · The paper itself

Abstract

Overweight and obesity is a complex, multifactorial disease that increases the risk of several cancers. The purpose of this study is to calculate the population-attributable fraction (PAF%) of obesity-associated cancer rates among adults from 2010-2019 in Arkansas by sex, race, and ethnicity. Obesity-associated cancer data for this period were obtained from the Arkansas Central Cancer Registry. The PAF% was calculated using obesity prevalence and global relative risks. Obesity prevalence data were gathered from the Arkansas Behavioral Risk Factor Surveillance System. Global relative risks for each obesity-associated cancer were gathered from large-scale epidemiological studies, meta-analyses, and systematic reviews in which body mass index (BMI) was ≥ 30 kg/m

Indexed as

Health Status DisparitiesNeoplasmsObesityAdultAgedArkansasBody Mass IndexEthnicityFemaleHumansIncidenceMaleMiddle AgedPrevalenceRacial GroupsRegistriesage-adjusted incidence ratesArkansasepidemiologyobesity-associated cancerspopulation attributable fraction

Identifiers

PMID41281960
PMCPMC12636242

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.