Evidence map›Paper›PMID 42406169›Full record

ArticleCancer causes & control : CCC2026

Survivability in patients with rare sigmoid colon adenocarcinoma variants: exploring the influence of rural-urban continuum codes and social determinants of health in the USA.

Md Roungu Ahmmad, Fazlay Faruque, Rodney Rocconi, Emran Hossain, Salwa Mohamed Musarikandy

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Article in Cancer causes & control : CCC, 2026. 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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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Md Roungu AhmmadUSF Health, College of Nursing, University of South Florida, Tampa, FL, USA. rounguju@gmail.com.ORCID http://orcid.org/0000-0002-3886-5777
Fazlay FaruqueDepartment of Preventive Medicine, School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA.
Rodney RocconiCancer Center and Research Institute, University of Mississippi Medical Center, Jackson, MS, USA.
Emran HossainDepartment of Statistics and Data Science, Big Data Analytics, University of Central Florida, Orlando, FL, USA.
Salwa Mohamed MusarikandyDepartment of Epidemiology and Biostatistics, School of Health Professions, University of Southern Mississippi, Hattiesburg, MS, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study examined survival outcomes in patients with rare sigmoid colon adenocarcinoma, excluding rectal cancer, with a focus on the combined effects of rural-urban continuum code (RUCC) and median household income (MHI).

methodsWe analyzed the SEER dataset, which includes 93,020 patients diagnosed with this condition. Survival differences were assessed using Kaplan-Meier estimates and multivariable Cox models. Interaction effects between RUCC and MHI were evaluated, and a nomogram was developed to predict five- and 10-year survival probabilities after adjusting for covariates, with sensitivity analyses conducted to assess robustness.

resultsA higher degree of rurality was significantly associated with an increased risk of mortality. Patients in RUCC 4 (HR: 1.13; 95% CI: 1.05-1.22) and RUCC 5 (HR: 1.14; 95% CI: 1.06-1.23) had elevated risks compared with RUCC 1. Income modified these associations. Patients in RUCC 2 with MHI above $100,000 had an 8% lower mortality risk (HR: 0.92; 95% CI: 0.83-0.98) than those in RUCC 1 with MHI below $70,000. Similarly, RUCC 4 patients with MHI $90,000-$100,000 experienced a 15% reduction (HR: 0.85; 95% CI: 0.75-0.98). Nomogram predictions indicated the most favorable survival in RUCC 2 with MHI > $100,000 (5 years > 60%; 1 -years ~ 55%), slightly lower survival in RUCC 1 with the same income (5 years 58%; 10 years 52%), and poorest survival in RUCC 4 with MHI < $70,000 (5 years 54%; 10 years 47%), with sensitivity analyses confirming consistent findings.

conclusionSurvival outcomes were significantly influenced by both place of residence and socioeconomic status, with the highest survival observed among patients with higher MHI in RUCC 2 and the poorest outcomes among low-income patients in RUCC 4. These results highlight the compounded impact of rurality and socioeconomic disadvantage, underscoring the need for targeted interventions-including strengthened oncology infrastructure, and reduced structural barriers.

Indexed as

AdenocarcinomaSigmoid NeoplasmsSocial Determinants of HealthAgedFemaleHumansMaleMiddle AgedRural PopulationSEER ProgramUnited StatesUrban PopulationMHINomogram predictive modelRUCCSigmoid colon adenocarcinomaSurvival outcome

Identifiers

PMID42406169
PMCPMC13337590

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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.