Evidence map›Paper›PMID 28291590›Full record

ArticleMayo Clinic proceedings2017

An Analysis of Individual Body Fat Depots and Risk of Developing Cancer: Insights From the Dallas Heart Study.

Arjun Gupta, Ambarish Pandey, Colby Ayers, Muhammad S Beg, Susan G Lakoski, Gloria L Vega, Scott M Grundy, David H Johnson, Ian J Neeland

Open access · greenAbstract read
In one paragraph

Article in Mayo Clinic proceedings, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% 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

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

  1. Pooled it
  2. Trial
  3. Association of Imaging-Based Body Fat Distribution and Mammographic Density in the Multiethnic Cohort Adiposity Phenotype Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  4. Article
  5. Review
  6. 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

9 authors at 3 institutions in 1 country.

Arjun GuptaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Ambarish PandeyDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX.
Colby AyersDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX; Department of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
Muhammad S BegDivision of Oncology, University of Texas Southwestern Medical Center, Dallas, TX.
Susan G LakoskiDepartment of Clinical Cancer Prevention and Department of Cardiology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Gloria L VegaCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX.
Scott M GrundyCenter for Human Nutrition, University of Texas Southwestern Medical Center, Dallas, TX.
David H JohnsonDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Ian J NeelandDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX. Electronic address: ian.neeland@utsouthwestern.edu.
The University of Texas Southwestern Medical Center · USHumanN (United States) · USThe University of Texas MD Anderson Cancer Center · US

Funding

UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
Mouse Phenotype Core, Project 9 of 10PL1DK081182 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI RUSSELL, DAVID W. · 2007 to 2011
$2.0M
Taskforce for Obesity Research at Southwestern (TORS)UL1DE019584 · NIDCR · UT SOUTHWESTERN MEDICAL CENTER · PI HORTON, JAY D. · 2008 to 2011
$1.5M
Visceral Adiposity and Diabetes: Translating Form to Function Using ImagingK23DK106520 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI NEELAND, IAN JASON · 2015 to 2019
$776k
NCATS NIH HHS UL1 TR001105NIDCR NIH HHS UL1 DE019584NIDDK NIH HHS K23 DK106520NIDDK NIH HHS PL1 DK081182
6 · The paper itself

Abstract

objectiveTo examine the association between specific adipose tissue depots and the risk of incident cancer in the Dallas Heart Study. PATIENTS AND

methodsIndividuals without prevalent cancer in the Dallas Heart Study underwent quantification of adipose depots: visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue, and liver fat by magnetic resonance imaging, and subcutaneous lower-body fat (LBF) by dual-energy X-ray absorptiometry from January 1, 2000, through December 31, 2002, and were observed for the development of cancer for up to 12 years. Multivariable Cox proportional hazards modeling was performed to examine the association between fat depots and cancer.

resultsOf 2627 participants (median age, 43 years; 69% nonwhite race), 167 (6.4%) developed cancer. The most common primary sites of cancer were the breast (in women) and the prostate (in men). In multivariable models adjusted for age, sex, race, smoking, alcohol use, family history of malignancy, and body mass index, a 1-SD increase in VAT was not associated with increased risk of cancer (hazard ratio [HR], 0.94; 95% CI, 0.77-1.14). In contrast, each 1-SD increase in LBF was associated with a reduced incidence of cancer (HR, 0.69; 95% CI, 0.52-0.92) in the fully adjusted model.

conclusionsIn this study, adiposity-associated cancer risk was heterogeneous and varied by fat depot: VAT was not independently associated with incident cancer, and LBF seemed to protect against cancer development. Further studies of the adiposity-cancer relationship, including serial assessments, are needed to better elucidate this relationship.

Indexed as

NeoplasmsObesityAbsorptiometry, PhotonAdultBreastFemaleHumansIncidenceIntra-Abdominal FatMagnetic Resonance ImagingMaleMiddle AgedProportional Hazards ModelsProstateRisk FactorsStatistics as Topic

Identifiers

PMID28291590
PMCPMC5389896
OpenAlexW2591732891

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.