Evidence map›Paper›PMID 28443205›Full record

ArticleCancer biology & medicine2017

A pilot study of radiologic measures of abdominal adiposity: weighty contributors to early pancreatic carcinogenesis worth evaluating?

Jennifer B Permuth, Jung W Choi, Dung-Tsa Chen, Kun Jiang, Gina DeNicola, Jian-Nong Li, Domenico Coppola, Barbara A Centeno, Anthony Magliocco, Yoganand Balagurunathan and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancer biology & medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

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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

13 authors at 5 institutions in 1 country.

Jennifer B PermuthDepartments of Cancer Epidemiology.
Jung W ChoiDiagnostic Imaging and Interventional Radiology.
Dung-Tsa ChenBiostatistics and Bioinformatics.
Kun JiangAnatomic Pathology.
Gina DeNicolaCancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa 33612, FL, USA.
Jian-Nong LiBiostatistics and Bioinformatics.
Domenico CoppolaAnatomic Pathology.
Barbara A CentenoAnatomic Pathology.
Anthony MaglioccoAnatomic Pathology.
Yoganand BalagurunathanCancer Imaging and Metabolism, Moffitt Cancer Center and Research Institute, Tampa 33612, FL, USA.
Nipun MerchantDepartment of Surgery, Sylvester Comprehensive Cancer Center at the University of Miami Miller School of Medicine, Miami 33136, FL, USA.
Jose G TrevinoDepartment of Surgery, Division of General Surgery, University of Florida Health Sciences Center, Gainesville 32611, FL, USA.
Daniel JeongDiagnostic Imaging and Interventional Radiology.
Moffitt Cancer Center · USSociety of Interventional Radiology · USAmerican Society for Gastrointestinal Endoscopy · USSylvester Comprehensive Cancer Center · USUniversity of Florida Health · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

objectiveIntra-abdominal fat is a risk factor for pancreatic cancer (PC), but little is known about its contribution to PC precursors known as intraductal papillary mucinous neoplasms (IPMNs). Our goal was to evaluate quantitative radiologic measures of abdominal/visceral obesity as possible diagnostic markers of IPMN severity/pathology.

methodsIn a cohort of 34 surgically-resected, pathologically-confirmed IPMNs (17 benign; 17 malignant) with preoperative abdominal computed tomography (CT) images, we calculated body mass index (BMI) and four radiologic measures of obesity: total abdominal fat (TAF) area, visceral fat area (VFA), subcutaneous fat area (SFA), and visceral to subcutaneous fat ratio (V/S). Measures were compared between groups using Wilcoxon two-sample exact tests and other metrics.

resultsMean BMI for individuals with malignant IPMNs (28.9 kg/m

conclusionsPreliminary findings suggest measures of visceral fat from routine medical images may help predict IPMN pathology, acting as potential noninvasive diagnostic adjuncts for management and targets for intervention that may be more biologically-relevant than BMI. Further investigation of gender-specific associations in larger, prospective IPMN cohorts is warranted to validate and expand upon these observations.

Indexed as

Abdominal obesitycomputed tomographypancreatic cancerpre-malignant lesions

Identifiers

PMID28443205
PMCPMC5365183
OpenAlexW2591543802

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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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.