ArticleArthritis care & research2025
Comparing Community-Level Social Determinants of Health With Patient Race in Total Hip Arthroplasty Outcomes.
Article in Arthritis care & research, 2025. 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.
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.
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Who cites it
2 citing papers in PubMed.
- Hypothesis Generation via Interpretable Machine Learning: A Case Study on Risk Factors for Postradiation Therapy Lung Cancer Recurrence.Advances in radiation oncology · 2026Article
- Disparities in Revision Arthroplasty: A Scoping Review of Racial, Sex-Based, and Geographic Domains.Current reviews in musculoskeletal medicine · 2026Review
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectiveSocial determinants of health (SDOH), including race, have a key role in total hip arthroplasty (THA) disparities. We compared the collective influence of community-level SDOH to the influence of individual factors such as race, on THA outcomes.
methodsThis retrospective cohort study of the Pennsylvania Health Care Cost Containment Council Database (2012-2018) included 105,336 patients undergoing unilateral primary elective THA. We extracted "community" factors from the US census by geocoding patient zip codes, including walkability index, household income, foreign-born individuals, English proficiency, computer and internet access, unpaid family workers, those lacking health insurances, and education. We trained an explainable boosting machine, a modern form of generalized additive models, to predict 90-day readmission, 90-day mortality, one-year revision, and length of stay (LOS). Mean absolute scores were aggregated to measure variable importance (ie, variables that contributed most to the prediction).
resultsThe rates of readmission, revision, and mortality were 8%, 1.5%, and 0.3%, respectively, with a median LOS of two days. Predictive performance measured by area under the receiver operating characteristic curve was 0.76 for mortality, 0.66 for readmission, and 0.57 for one-year revision. For LOS, the root mean squared error was 0.41 (R
conclusionCommunity-level SDOH were significantly more important than individual race in contributing to the prediction of THA outcomes, especially for 90-day mortality.
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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 OpenQuestion graph.