ArticleThe Journal of surgical research2024
Analyzing the Social Vulnerability Index With Metabolic Surgery.
Article in The Journal of surgical research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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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.
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Who cites it
2 citing papers in PubMed.
- Applying social vulnerability index to examine social disparities in patients undergoing hysterectomy.AJOG global reports · 2025Article
- Social determinants of health (SDOH) associated with the risk of all-cause mortality and life expectancy in US adults with cardiovascular-kidney-metabolic syndrome: a NHANES 2001-2018 cohort study.BMC cardiovascular disorders · 2025Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
introductionThe social vulnerability index (SVI) is a census tract-level population-based measure generated from 16 socioeconomic and demographic variables on a scale from 1 (least) to 100 (most) vulnerable. This study has three objectives as follows: 1) to analyze multiple ways of utilizing SVI, 2) compare SVI as a group measure of marginalization to individual markers, and 3) to understand how SVI is associated with choice of surgery in metabolic surgery.
methodsWe retrospectively identified adults undergoing Roux-en-Y gastric bypass and gastric sleeve in 2013-2018 National Surgical Quality Improvement Program data from a single academic center. High SVI was defined as >75
resultsWe identified 436 patients undergoing metabolic surgery, with a low overall morbidity (6.1%). Complication and readmission rates were similar across comparator groups. The logistic regression models had similar area under the curve, supporting SVI as a proxy for individual measures of marginalization.
conclusionsSVI performed as well as marginalized status in predicting preoperative risk. This suggests the validity of using SVI to identify high risk patients. By providing a single, quantitative score encompassing many social determinants of health, SVI is a useful tool in identifying patients facing the greatest health disparities.
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Registered trials
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 Socratic graph.