Evidence map›Paper›PMID 40295326›Full record

ArticleObesity surgery2025

Factors Associated with Preoperative Attrition from a Large, Racially and Ethnically Representative Bariatric Program in the USA: A Single-Center Retrospective, Cohort Study.

Safraz A Hamid, Samuel D Butensky, Elena Graetz, Miriam Olivares, Jennifer S Schwartz, Eric B Schneider, Saber Ghiassi, Karen E Gibbs

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Article in Obesity surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Safraz A HamidYale University School of Medicine, New Haven, CT, United States. safraz.hamid@yale.edu.
Samuel D ButenskyYale University School of Medicine, New Haven, CT, United States.
Elena GraetzYale University School of Medicine, New Haven, CT, United States.
Miriam OlivaresYale Center for Geospatial Solutions, New Haven, CT, United States.
Jennifer S SchwartzYale University School of Medicine, New Haven, CT, United States.
Eric B SchneiderYale University School of Medicine, New Haven, CT, United States.
Saber GhiassiYale University School of Medicine, New Haven, CT, United States.
Karen E GibbsYale University School of Medicine, New Haven, CT, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative attrition from metabolic and bariatric surgery (MBS) programs remains a barrier for a subset of patients seeking surgical treatment of obesity. Prior analyses examining factors associated with attrition have been limited by study samples that are small in number and predominantly non-Hispanic, White. We aimed to assess factors associated with preoperative attrition using a large, racially and ethnically representative study sample.

methodsWe reviewed the electronic health record of an urban, academic health system from 2021 to 2024. Our outcome was preoperative attrition, defined as not completing surgery within the study period. We compared individual- and regional-level factors between patients who experienced attrition with those who did not. We accounted for confounding effects using multivariable logistic regression.

resultsOf a total 3043 patients, 28.0% were Black and 31.1% were Hispanic. Compared to patients who completed surgery, those who experienced attrition were older (mean age (SD): 43.9 (12.7) years vs. 41.8 (12.1) years, p < 0.001), were proportionally more likely to have obesity-related diseases (1-3 diseases: 59.3% vs. 55.9%; 3 diseases: 13.1% vs. 9.1%, p < 0.001), and more likely to be insured by Medicare (5.2% vs 2.2%, p < 0.001). Census tract social vulnerability, as measured by the social vulnerability index (SVI), was not associated with attrition (median (IQR) SVI percentile: 0.67 (0.59) vs. 0.59 (0.59), p = 0.071). In adjusted analysis, patients with more than three obesity-related diseases and those insured by Medicare had 53% (aOR 1.53, 95% CI 1.10-2.13) and 94% (aOR 1.94, 95% CI 1.14-3.30) increased odds of experiencing attrition, respectively. Hispanic ethnicity was associated with decreased odds of experiencing attrition (aOR 0.80, 95% CI 0.66-0.97).

conclusionsAmong a large sample of patients racially and ethnically representative of the US population, the presence of more than three obesity-related diseases and Medicare insurance were associated with increased odds of preoperative attrition from an MBS program while Hispanic ethnicity was associated with decreased odds. Future studies should elucidate reasons for attrition and develop strategies to address the factors associated with attrition.

Indexed as

Bariatric SurgeryObesity, MorbidAdultFemaleHispanic or LatinoHumansMaleMiddle AgedRacial GroupsRetrospective StudiesUnited StatesWhiteAccessMetabolic and bariatric surgeryPreoperative attrition

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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.