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
- Ayalew Ali, Sitotaw Wodajio, The effect of risk management on the bank’s financial stability in the emerging economy , The Scientific Temper: Vol. 16 No. 04 (2025): The Scientific Temper
- P. S. Dheepika, V. Umadevi, An optimized approach for detection and mitigation of DDoS attack cloud using an ensembled deep learning approach , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- K. Kalaiselvi, M. Kasthuri, Tuning VGG19 hyperparameters for improved pneumonia classification , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- T. Ramyaveni, V. Maniraj, Hyperparameter tuning of diabetes prediction using machine learning algorithm with pelican optimization algorithm , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Bayelign A. Zelalem, Ayalew Ali, BRICS and South African economic growth: Implications for Ethiopia, the new BRICS member , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Sarika A. Nirmal, Nalanda D. Wani, The Relationship Between Artificial Intelligence and Consumer Decision Making in the Context of Personalized Cosmetic Products , The Scientific Temper: Vol. 16 No. 09 (2025): The Scientific Temper
- S. Nagarani, Amalraj P., Lakshay Phor, Nishank S. Pimple, Banashree Sen, Ramaprasad Maiti, Vikas S. Jadhav, Innovative technological advancements in solving real quadratic equations: Pioneering the frontier of mathematical innovation , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Modenisha U, W. Ritha, Sasitharan Nagapan, Analysing the cost structure of construction sectors considering carbon emission factors , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- Amanda Q. Okronipa, Jones Y. Nyame, Exploring the effect of perceived empathy and social presence on the intention to use AI in higher education , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Akshay J., G. Mahesh Kumar, B. H. Manjunath, Optimizing durability of the thin white topping applying Taguchi method using desirability function , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 13 14 15 16 17 18 19 20 21 22 > >>
You may also start an advanced similarity search for this article.

