ArticleMedicine2018
Marital status and survival in patients with rectal cancer: A population-based STROBE cohort study.
Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.
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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
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Marital status and survival in cancer patients: A systematic review and meta-analysis.Cancer medicine · 2023Pooled it
- A Web-Based Prediction Model for Cancer-Specific Survival of Elderly Patients With Clear Cell Renal Cell Carcinoma: A Population-Based Study.Frontiers in public health · 2021Trial
- Exploring the role of marital status on survival and stage at diagnosis in early-onset colorectal cancer by race/ethnicity.Scientific reports · 2026Article
- Development and validation of the Pulmonary Nodule Malignant Transformation Fear Scale (PN-MTFS) to identify patients at high risk of cancer-related fear: a multicenter study.Frontiers in psychology · 2026Article
- Marital status and competing risks of mortality in non-small cell lung cancer: a SEER-based nomogram analysis.Journal of thoracic disease · 2025Article
- Article
- Prediction of Solitary Plasmacytoma of Bone in Elderly Patients: A Nomogram and a Risk Classification System for Overall Survival.BioMed research international · 2022Article
- Impact of Socioeconomic Factors on Prognosis and Clinical Management in Patients with Hepatocellular Carcinoma.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2021Article
- The effect of marital status on stage at diagnosis and survival in Saudis diagnosed with colorectal cancer: cancer registry analysis.Scientific reports · 2021Article
- Clinicopathological characteristics and prediction of cancer-specific survival in large cell lung cancer: a population-based study.Journal of thoracic disease · 2020Article
- Observational
- Marital status and survival in patients with rectal cancer: A population-based STROBE cohort study: Erratum.Medicine · 2018Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To examine the impact of marital status on overall survival (OS) and rectal cancer-specific survival (RCSS) for aged patients.We used the Surveillance, Epidemiology and End Results database to identify aged patients (>65 years) with early stage rectal cancer (RC) (T1-T4, N0, M0) in the United States from 2004 to 2010. Propensity score matching was conducted to avoid potential confounding factors with ratio at 1:1. We used Kaplan-Meier to compare OS and RCSS between the married patients and the unmarried, respectively. We used cox proportion hazard regressions to obtain hazard rates for OS, and proportional subdistribution hazard model was performed to calculate hazard rates for RCSS.Totally, 5196 patients were included. The married (2598 [50%]) aged patients had better crude 5-year overall survival rate (64.2% vs 57.3%, P < .001) and higher crude 5-year cancer-specific survival rate (80% vs 75.9%, P < .001) than the unmarried (2598 (50%)), respectively. In multivariate analyses, married patients had significantly lower overall death than unmarried patients (HR = 0.77, 95% CI = 0.71-0.83, P < .001), while aged married patients had no cancer-specific survival benefit versus the unmarried aged patients (HR = 0.92, 95% CI = 0.81-1.04, P = .17).Among old population, married patients with early stage RC had better OS than the unmarried, while current evidence showed that marital status might have no protective effect on cancer-specific survival.
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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.