Evidence map›Paper›PMID 40658358›Full record

ArticleObesity surgery2025

Associations of Computerized Tomography-Based Body Composition and Food Insecurity in Bariatric Surgery Patients.

J Alexander Sizemore, Kirti Magudia, Hongyu He, Karenia Landa, Alex J Bartholomew, T Clark Howell, Alex D Michaels, Philip Fong, Jacob A Greenberg, Lauren Wilson and 2 more

Abstract read
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In one paragraph

Article in Obesity surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

12 authors.

J Alexander SizemoreDuke University School of Medicine, Durham, United States. alex.sizemore@duke.edu.
Kirti MagudiaDuke University School of Medicine, Department of Radiology, Division of Abdominal Imaging, Durham, United States.
Hongyu HeDuke University School of Medicine, Department of Radiology, Division of Abdominal Imaging, Durham, United States.
Karenia LandaDuke University School of Medicine, Department of Surgery, Division of Minimally Invasive Surgery, Durham, United States.
Alex J BartholomewDuke University School of Medicine, Department of Surgery, Division of Minimally Invasive Surgery, Durham, United States.
T Clark HowellDuke University School of Medicine, Department of Surgery, Division of Minimally Invasive Surgery, Durham, United States.
Alex D MichaelsDuke University School of Medicine, Department of Surgery, Division of Minimally Invasive Surgery, Durham, United States.
Philip FongDuke University School of Medicine, Department of Surgery, Division of Minimally Invasive Surgery, Durham, United States.
Jacob A GreenbergDuke University School of Medicine, Department of Surgery, Division of Minimally Invasive Surgery, Durham, United States.
Lauren WilsonDuke University School of Medicine, Department of Population Health Sciences, Durham, United States.
Deepak PalakshappaWake Forest University School of Medicine, Department of Internal Medicine, Winston-Salem, United States.
Keri A SeymourDuke University School of Medicine, Department of Surgery, Division of Minimally Invasive Surgery, Durham, United States. keri.seymour@duke.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFood insecurity (FI) is associated with increased adiposity and obesity-related medical conditions, and body composition can affect metabolic risk. Bariatric surgery effectively treats obesity and metabolic diseases. The association of FI with baseline computerized tomography (CT)-based body composition and bariatric surgery outcomes was investigated in this exploratory study.

methodsFifty-four retrospectively identified adults had bariatric surgery, preoperative CT scan from 2017 to 2019, completed a six-item food security survey, and had body composition measured by bioelectrical impedance analysis (BIA). Skeletal muscle, visceral fat, and subcutaneous fat areas were determined from abdominal CT and normalized to published age, sex, and race reference values. Anthropometric data, related medical conditions, and medications were collected preoperatively, and at 6 months and at 12 months postoperatively. Patients were stratified into food security (FS) or FI based on survey responses.

resultsFourteen (26%) patients were categorized as FI. Patients with FI had lower skeletal muscle area and higher subcutaneous fat area than patients with FS on baseline CT exam (p < 0.05). There was no difference in baseline BIA between patients with FS and FI. The two groups had similar weight loss, reduction in obesity-related medications, and healthcare utilization following bariatric surgery at 6 and 12 months postoperatively.

conclusionsPatients with FI had higher subcutaneous fat and lower skeletal muscle than patients with FS by baseline CT exam, findings which were not detected by BIA. CT analysis enabled by an artificial intelligence workflow offers more precise and detailed body composition data.

Indexed as

Bariatric SurgeryBody CompositionFood InsecurityObesity, MorbidTomography, X-Ray ComputedAdultElectric ImpedanceFemaleHumansMaleMiddle AgedRetrospective StudiesArtificial intelligenceBariatric surgeryBody compositionCross-sectional imaging analysisFood insecurityObesity

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Registered trials

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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.