Evidence map›Paper›PMID 27636369›Full record

ArticlePloS one2016

Plasma Leptin Levels and Risk of Incident Cancer: Results from the Dallas Heart Study.

Arjun Gupta, Yehuda Herman, Colby Ayers, Muhammad S Beg, Susan G Lakoski, Shuaib M Abdullah, David H Johnson, Ian J Neeland

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% 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

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

  1. Pooled it
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  3. Review
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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

8 authors at 3 institutions in 1 country.

Arjun GuptaDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.ORCID http://orcid.org/0000-0003-0875-4731
Yehuda HermanCollin College, Preston Road, Frisco, Texas, United States of America.
Colby AyersDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Muhammad S BegDivision of Oncology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Susan G LakoskiDepartment of Clinical Cancer Prevention & Cardiology, The University of Texas M.D. Anderson Cancer Center, Houston, Texas, United States of America.
Shuaib M AbdullahDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
David H JohnsonDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Ian J NeelandDivision of Cardiology, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
The University of Texas Southwestern Medical Center · USCollin College · 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

purposeLeptin dysregulation has been postulated to affect cancer risk through its effects on obesity and inflammation. Epidemiological data evaluating this relationship are conflicting and studies in non-white cohorts is lacking. Therefore, we examined the association of leptin with the risk of incident cancer in the multiethnic Dallas Heart Study (DHS).

methodsParticipants enrolled in the DHS without prevalent cancer and with baseline leptin measurements were included. Incident cancer cases were identified through a systematic linkage of the DHS and the Texas Cancer Registry. Leptin was evaluated both as a continuous variable and in sex-specific quartiles. Multivariable Cox proportional hazards modeling was performed to examine the association between leptin levels with incident cancer after adjusting for age, sex, race, smoking status, alcohol use, family history of malignancy, body mass index (BMI), diabetes mellitus and C-reactive protein.

resultsAmong 2,919 participants (median age 44 years; 54% women; 70% nonwhite; median BMI 29.4 kg/m2), 190 (6.5%) developed cancer after median follow- up of 12 years. Median leptin levels were 12.9 (interquartile range [IQR] 5.8-29.5) ng/ml in the incident cancer group vs. 12.3 (IQR 5.4-26.4) ng/ml those without an incident cancer (p = 0.34). Leptin was not associated with cancer incidence in multivariable analysis (unit standard deviation increase in log-transformed leptin, hazard ratio 0.95; 95% confidence interval, 0.77-1.16; p = 0.60). No association was observed in analyses stratified by sex, race/ethnicity, diabetes, or obesity status.

conclusionsIn this study of a predominantly minority population, no association between premorbid leptin levels and cancer incidence was demonstrated. Despite preclinical rationale and positive findings in other studies, this association may not replicate across all racial/ethnic populations.

Indexed as

AdultBiomarkers, TumorFemaleHumansLeptinMaleMiddle AgedNeoplasmsRisk FactorsTexasBiomarkers, TumorLeptin

Identifiers

PMID27636369
PMCPMC5026337
OpenAlexW2519003148

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.