Evidence map›Paper›PMID 39537861›Full record

ArticleSurgical endoscopy2025

The impact of social determinants of health (SDOH) on completing bariatric surgery at a single academic institution.

Sabrena F Noria, Keeley J Pratt, Mahmoud Abdel-Rasoul, Kayla Diaz, Bayan Shalash, Daniel Abul-Khoudoud, Bradley Needleman, Maximiliano Magallanes

Abstract read
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In one paragraph

Article in Surgical endoscopy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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

8 authors.

Sabrena F NoriaDivision of General and GI Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, N718 Doan Hall, 410 W 10th Avenue, Columbus, OH, 43210, USA. Sabrena.Noria@osumc.edu.ORCID 0000-0002-1260-6638
Keeley J PrattDivision of General and GI Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, N718 Doan Hall, 410 W 10th Avenue, Columbus, OH, 43210, USA.
Mahmoud Abdel-RasoulCenter for Biostatistics, College of Medicine Department of Biomedical Informatics, Columbus, OH, USA.
Kayla DiazDivision of General and GI Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, N718 Doan Hall, 410 W 10th Avenue, Columbus, OH, 43210, USA.
Bayan ShalashCollege of Medicine, The Ohio State University, Columbus, OH, USA.
Daniel Abul-KhoudoudCollege of Medicine, The Ohio State University, Columbus, OH, USA.
Bradley NeedlemanDivision of General and GI Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, N718 Doan Hall, 410 W 10th Avenue, Columbus, OH, 43210, USA.
Maximiliano MagallanesDivision of General and GI Surgery, Department of Surgery, The Ohio State University Wexner Medical Center, N718 Doan Hall, 410 W 10th Avenue, Columbus, OH, 43210, USA.

Funding

The OSU Center for Clinical and Translational Science: Advancing Today's Discoveries to Improve HealthUL1TR002733 · NCATS · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2018 to 2022
$28.9M
NCATS NIH HHS UL1 TR002733
6 · The paper itself

Abstract

backgroundUnderutilization of bariatric surgery is multifactorial. This study aimed to understand the association of SDOH on not achieving surgery.

methods1081 applications for primary MBS from January-December 2021 were stratified into those that completed surgery (COM; n = 415), in progress > 1-year (IP; n = 107), dropped out (DO; n = 379), and never started (NS; n = 180). Using the American-Community-Survey results (2015-2020) and patient zip-codes, population differences in 4-domains of SDOH (demographic/social/housing/economic) were examined between COM versus the other groups. Additionally, using institutional MBSAQIP and EMR data, patient-specific differences in comorbidities were evaluated for COM versus IP/DO. Univariate analysis using Kruskal-Wallis, chi-squared/Fisher's exact tests were used for continuous and/or categorical variables. For patient-level analysis multinomial logistic regression was used to determine predictors of not achieving surgery. Hypothesis testing was conducted at an overall 5 percent type-I error rate (alpha = 0.05) and Bonferroni's method was used to adjust for multiple comparisons.

resultsCompared to COM, IP-patients resided in zip-codes characterized by fewer married people (43% vs 46%; p = 0.019), lower education levels (49% vs 43%; p = 0.048), more households where rent was > 50% of household income (10% vs 8%, p = 0.002), and households below the poverty line (17.6% vs 14.5%, p = 0.017). At the patient-level, IP were more likely to be male (27.9% vs 14.9%; p = 0.014), publicly insured (44.9% vs 28.4%; p = 0.004), Black (35.5% vs 22.2%; p = 0.006), an active smoker (8.9% vs 2.2%; p = 0.018), have a higher BMI (49.6 vs 47.6; p = 0.01), and coronary intervention (5.8% vs 1.7%, p = 0.034). Comparison of COM vs DO was similar for both phases. Multinomial multivariable logistic regression demonstrated higher BMI (OR = 1.03,[CI]:1.01-1.05, p = 0.001), males (OR = 1.9,[CI]:1.09-3.32, p = 0.024), smoking (OR = 4.58,[CI]:1.74-12.02, p = 0.002), and Medicaid (OR = 2.16,[CI]:1.33-3.49, p = 0.002) independently predicted not achieving surgery.

conclusionPatient-level data demonstrated social not clinical factors predicted surgery completion. Given zip-codes characterizing the IP/DO groups had a greater prevalence of social risk, more attention needs to be directed patient-level social risks.

Indexed as

Bariatric SurgeryObesity, MorbidSocial Determinants of HealthAdultFemaleHumansMaleMiddle AgedRetrospective StudiesSocioeconomic FactorsAttritionBariatric surgerySocial determinants of health

Identifiers

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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.