Prognostic Factors and Survival Outcomes in Esophageal Cancer Patients from North-East India: A Hospital-Based Cohort Study Using Log-Rank Test and Binary Logistic Regression Analysis
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.12.15Keywords:
Esophageal cancer, Survival analysis, Prognostic factors, Parametric model, Binary logistic regression, Log-Rank test, Chemotherapy, Radiotherapy.Dimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Background: Esophageal cancer remains one of the most prevalent malignancies in North-East India, accounting for significant morbidity and mortality. The region demonstrates age-adjusted incidence rates substantially higher than other parts of India, with squamous cell carcinoma being the predominant histological type. Understanding prognostic factors and survival outcomes is essential for optimizing therapeutic interventions and patient counseling.Abstract
Objective: This study aimed to identify prognostic factors influencing survival outcomes in esophageal cancer patients from North-East India using log-rank test and binary logistic regression analysis.
Methods: A hospital-based retrospective cohort study of 502 esophageal cancer patients was conducted at the State Cancer Institute, Gauhati Medical College, Assam, India, for the period 2019–2021. Survival data were analyzed using the Kaplan-Meier method with log-rank tests to compare survival curves between demographic and clinical variables. Binary logistic regression with logit link function was employed to identify independent predictive factors for mortality.
Results: The study cohort consisted of 502 patients (80.68% aged ≥50 years, 67.3% males) with 271 deaths (54%) recorded during follow-up. Median overall survival was 14 months (95% CI: 11.99–16.01). Log-rank test revealed statistically significant associations with survival for esophagostomy surgery (p<0.001) and chemotherapy (p<0.001). Binary logistic regression identified chemotherapy (p=0.003, OR=1.891) and radiotherapy (p=0.049, OR=0.626) as independent prognostic factors, with chemotherapy conferring increased odds of mortality, whereas radiotherapy demonstrated protective effects.
Conclusions: This study demonstrates that chemotherapy and radiotherapy status constitute independent prognostic factors for esophageal cancer survival in North-East India. The protective effect of radiotherapy and the association with chemotherapy warrant further investigation to optimize multimodal treatment strategies. Socioeconomic status and basic demographic factors did not significantly influence survival outcomes after adjustment for treatment variables.
How to Cite
Downloads
Similar Articles
- Santosh Kumar Sahu, B. R. Senthil kumar, Y. Aboobucker parvez, Ashish Verma, Assessment of noise levels by using noise prediction modeling , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Isreal Zewide, A coffee biochar-mineral NP interaction: Boon for soil health , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Vijai Pillarsetti, K. Madhava Rao, The craft of portfolio construction in estate planning: A comprehensive review on equity and mutual fund strategies, and its risks , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- S. Hemalatha, N. Vanjulavalli, K. Sujith, R. Surendiran, Effective gorilla troops optimization-based hierarchical clustering with HOP field neural network for intrusion detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Shane Desai, Bhaskar K. Pandya, Analyzing the Novels of T. S. Pillai and Perumal Murugan from Indian socio-political perspective , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Priyanka Patel, Bhaskar Pandya, Indian myths and modernity: Their application in Tagore, Anand, and Narayan’s selected short stories , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- S Rehan Ahmad, KDV Prasad, Seema Bhakuni, Amit Hedau, P B Shankar Narayan, P Parameswari, The role and relation of emotional intelligence with work-life balance for working women in job stress , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- NITHYA R, shruthi D, Sindhuja S, Sneha S, Challenges encountered by health care professionals in monitoring adverse events due to medical devices: A review , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Balaji V, Purnendu Bikash Acharjee, Muniyandy Elangovan, Gauri Kalnoor, Ravi Rastogi, Vishnu Patidar, Developing a semantic framework for categorizing IoT agriculture sensor data: A machine learning and web semantics approach , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Nitin J. Wange, Sachin V. Chaudhari, Koteswararao Seelam, S. Koteswari, T. Ravichandran, Balamurugan Manivannan, Algorithmic material selection for wearable medical devices a genetic algorithm-based framework with multiscale modeling , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
<< < 40 41 42 43 44 45 46 47 48 49 > >>
You may also start an advanced similarity search for this article.

