ArticleJournal of epidemiology2015
Clinical-pathological characteristics and prognosis of a cohort of oesophageal cancer patients: a competing risks survival analysis.
Article in Journal of epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- The low IGFBP-3 level is associated with esophageal cancer patients: a meta-analysis.World journal of surgical oncology · 2016Pooled it
- Causal Inference Methods Based on Pseudo-Observations: A Comparative Analysis of Treatment Types for Iranian Gastrointestinal Cancer Patients.Asian Pacific journal of cancer prevention : APJCP · 2025Article
- A New Dawn for the Use of Artificial Intelligence in Gastroenterology, Hepatology and Pancreatology.Diagnostics (Basel, Switzerland) · 2021Review
- Risk Factors Associated with Precancerous Lesions of Esophageal Squamous Cell Carcinoma: a Screening Study in a High Risk Chinese Population.Journal of Cancer · 2019Article
- Predictive values of upper gastrointestinal cancer alarm symptoms in the general population: a nationwide cohort study.BMC cancer · 2018Article
- Inverse probability of treatment-weighted competing risks analysis: an application on long-term risk of urinary adverse events after prostate cancer treatments.BMC medical research methodology · 2017Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo determine the clinical course, follow-up strategies, and survival of oesophageal cancer patients using a competing risks survival analysis.
methodsWe conducted a retrospective and prospective follow-up study. The study included 180 patients with a pathological diagnosis of oesophageal cancer in A Coruña, Spain, between 2003 and 2008. The Kaplan-Meier methodology and competing risks survival analysis were used to calculate the specific survival rate. The study was approved by the Ethics Review Board (code 2011/372, CEIC Galicia).
resultsThe specific survival rate at the first, third, and fifth years was 40.2%, 18.1%, and 12.4%, respectively. Using the Kaplan-Meier methodology, the survival rate was slightly higher after the third year of follow-up. In the multivariate analysis, poor prognosis factors were female sex (hazard ratio [HR] 1.94; 95% confidence interval [CI], 1.24-3.03), Charlson's comorbidity index (HR 1.17; 95% CI, 1.02-1.33), and stage IV tumours (HR 1.70; 95% CI, 1.11-2.59). The probability of dying decreased with surgical and oncological treatment (chemotherapy and/or radiotherapy) (HR 0.23; 95% CI, 0.12-0.45). The number of hospital consultations per year during the follow-up period, from diagnosis to the appearance of a new event (local recurrences, newly appeared metastasis, and newly appeared neoplasias) did not affect the probability of survival (HR 1.03; 95% CI, 0.92-1.15).
conclusionsThe Kaplan-Meier methodology overestimates the survival rate in comparison to competing risks analysis. The variables associated with a poor prognosis are female sex, Charlson's comorbidity score and extensive tumour invasion. Type of follow-up strategy employed after diagnosis does not affect the prognosis of the disease.
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