ArticleJournal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract2025
Exploring rural-urban differences in the receipt of nonelective cancer-specific gastrointestinal surgery using a multilevel mixed-effects approach.
Article in Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Allocation of Postacute Care Services Differs Among Rural and Urban Patients after Colon Cancer Resection.Journal of the American College of Surgeons · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundRural communities constitute a populace marked by various social challenges influencing health outcomes. As such, nonelective surgeries for cancer may have a disproportionate impact on rural populations. We explored patient and county-level factors contributing to differences in the receipt of nonelective cancer-specific surgery between rural and urban residents.
methodsThis retrospective study included adult patients captured in the Surveillance, Epidemiology, and End Results-Medicare data between January 2008 and December 2015 with an incident stage I to IV cancer of the stomach, liver/intrahepatic bile duct, pancreas, gallbladder/other biliary origin, or small intestine who underwent a cancer-specific surgery. The primary outcome was a nonelective cancer-directed surgery among rural vs urban residents. We conducted a multivariable mixed-effects logistic regression model to adjust for confounders while accounting for county-level clustering.
resultsThe sample included 10,136 patients who underwent a surgical intervention; 2941 (29%) were nonelective. The incidence of nonelective surgery was lower among rural than urban patients (351 [27%] and 2590 [29%]; P = .05). There was no statistically significant difference in the unadjusted and adjusted odds of nonelective surgery between rural and urban residents (odds ratio, 0.88; 95% CI, 0.76-1.03; P = .11; adjusted odds ratio [aOR], 0.86; 95% CI, 0.72-1.02; P = .080). In addition, high social vulnerability index (SVI) counties or Black race was significantly associated with increase odds of nonelective surgery (aOR, 1.33; 95% CI, 1.07-1.65; P = .009; aOR, 1.49; 95% CI, 1.26-1.77; P < .0001, respectively).
conclusionThis study found no difference in the odds of receiving nonelective surgery for gastrointestinal foregut cancers between rural and urban populations. However, Black race and high SVI were associated with higher odds of the receipt of nonelective surgery. Further research is warranted to explore whether disparities in clinical outcomes exist despite the comparable likelihood of receiving nonelective surgery between rural and urban communities.
Indexed as
Identifiers
What OpenQuestion holds
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.