Evidence map›Paper›PMID 40928080›Full record

ArticleJournal of the American College of Surgeons2026

Surgical Approach as a Mediator of Rural-Urban Disparity after Colon Cancer Resection.

Sara Myers, Elizabeth S Davis, Anays Murillo, Sing Chau Ng, Teviah Sachs, Jennifer S Davids, Kelly M Kenzik

Abstract readComparative Study
In one paragraph

Article in Journal of the American College of Surgeons, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Sara MyersFrom the Department of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA (Myers, Davis, Murillo, Ng, Sachs, Davids, Kenzik).
Elizabeth S DavisFrom the Department of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA (Myers, Davis, Murillo, Ng, Sachs, Davids, Kenzik).
Anays MurilloFrom the Department of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA (Myers, Davis, Murillo, Ng, Sachs, Davids, Kenzik).
Sing Chau NgFrom the Department of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA (Myers, Davis, Murillo, Ng, Sachs, Davids, Kenzik).
Teviah SachsFrom the Department of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA (Myers, Davis, Murillo, Ng, Sachs, Davids, Kenzik).
Jennifer S DavidsFrom the Department of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA (Myers, Davis, Murillo, Ng, Sachs, Davids, Kenzik).
Kelly M KenzikFrom the Department of Surgery, Boston Medical Center, Chobanian and Avedisian School of Medicine, Boston University, Boston, MA (Myers, Davis, Murillo, Ng, Sachs, Davids, Kenzik).

Funding

Understanding rural mortality disparities in cancer: a multi-level approachR37CA266193 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KELLY KENZIK · 2022 to 2026
$1.8M
NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS R37 CA266193
6 · The paper itself

Abstract

backgroundRural populations experience higher colon cancer (CC) mortality than urban populations, and rural patients may have more complications after resection. Reoperations due to complications after CC resection among rural and urban patients are not clear, and factors mediating disparities in rural-urban postoperative outcomes have not been examined. STUDY

designUsing the Surveillance, Epidemiology, and End Results Program-Medicare database, individuals with CC who underwent surgical resection were compared via multivariable logistic regression to determine the association of rurality with postoperative complications and reoperations at 30, 60, and 90 days. A 4-way effect decomposition (mediation analysis) assessed how surgical approach (open vs minimally invasive surgery [MIS]) mediated the relationship between rurality and complication risk. Survival was assessed at 30 days, 90 days, and 1 year.

resultsAmong 33,183 patients, rural patients (n = 5,938; 18%) had lower Charlson Comorbidity Indices (p < 0.0001) and presented less emergently (p = 0.0307); stage did not differ from urban patients. Rural patients underwent more postdischarge reoperations (p = 0.0007) and had higher odds of surgical site infection (SSI; odds ratio [OR] 1.31, 95% CI 1.13 to 1.52) and anastomotic leak (OR 1.19, 95% CI 1.07 to 1.33). Rural individuals were less likely to undergo MIS (OR 0.67, 95% CI 0.63 to 0.72); MIS was associated with lower odds of SSI (OR 0.58, 95% CI 0.51 to 0.67) and leak (OR 0.57, 95% CI 0.52 to 0.63). Surgical approach mediated 29% of the overall complication risk, 18% of the SSI risk, and 28% of the anastomotic leak risk for rural patients. Finally, survival was lower among rural patients (30 days: p = 0.0313; 90 days: p = 0.0195; 1 year: p = 0.0063).

conclusionsSurgical approach mediated one-third of the complication risk experienced by rural patients, who had higher odds of complications, more postdischarge reoperations, and lower odds of accessing MIS. Expanding rural MIS colectomy practices may be one way to achieve more geographically equitable outcomes.

Indexed as

ColectomyColonic NeoplasmsHealthcare DisparitiesPostoperative ComplicationsRural PopulationUrban PopulationAgedAged, 80 and overFemaleHumansLogistic ModelsMaleMedicareReoperationSEER ProgramUnited States

Identifiers

PMID40928080
PMCPMC13660873

What OpenQuestion holds

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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.