Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cancer Survival Analysis

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Guidelines for geriatric oncology in India: Recommendations for clinical practice (version 1).

Journal of geriatric oncology·2026

Same author

Screening for poor muscle strength in older Indian patients with solid tumor using SARC-F questionnaire and handgrip.

Journal of geriatric oncology·2026

Same author

Surgical Management of Recurrent Retroperitoneal Sarcomas: Experience From a High-Volume Sarcoma Centre: Recurrent Retroperitoneal Sarcomas: Outcomes of Multiple Recurrences.

Journal of surgical oncology·2026

Same author

Navigating early recurrences in post-hepatectomy hepatocellular carcinoma: Preventive strategies and prognostic indicators.

Surgical oncology·2026

Same author

Geriatric Oncology multidomain intervention study to prevent Cognitive impairment among older Indian patients with cancer receiving chemotherapy: a multicentric randomised controlled trial (GOCog).

BMC geriatrics·2026

Same author

Outcomes of Surgical Management of Retroperitoneal Paragangliomas: A Single Centre Experience.

Indian journal of surgical oncology·2026

Search research articles

Related Experiment Video

Updated: Apr 8, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Development and Validation of Nomogram Predicting Survival in Resectable Gallbladder Cancer.

Shraddha Patkar¹, Tanvi M Shah¹, Mufaddal Kazi¹

¹Department of Surgical Oncology, Tata Memorial Hospital and Homi Bhabha National Institution, Mumbai, India.

Journal of Hepato-Biliary-Pancreatic Sciences

|April 7, 2026

Summary

This summary is machine-generated.

A new nomogram accurately predicts survival for gallbladder cancer (GBC) patients undergoing surgery. This tool aids in risk stratification and selecting adjuvant treatments to improve outcomes for this aggressive cancer.

Keywords:

adjuvant treatment selection gallbladder cancer survival predictive nomogram

More Related Videos

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Related Experiment Videos

Last Updated: Apr 8, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Establishing a Competing Risk Regression Nomogram Model for Survival Data

Published on: October 23, 2020

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

Area of Science:

Oncology
Surgical Oncology
Cancer Prognostics

Background:

Gallbladder cancers (GBCs) are aggressive malignancies with historically poor prognoses.
Accurate survival prediction is essential for personalized treatment strategies in GBC.

Purpose of the Study:

To develop and validate a predictive nomogram for overall survival (OS) in patients with resectable GBC.

Main Methods:

Retrospective analysis of 1045 patients with resected GBC (2010-2022).
Development and internal validation of a nomogram incorporating clinical and pathological factors.
Assessment of nomogram performance using Harrell's concordance index and ROC curve analysis.

Main Results:

The nomogram integrated age, T stage, N stage, invasion status, CA 19.9, GBC type, and grade.
Achieved a Harrell's concordance index of 0.677 and good discriminative ability for 1-, 3-, and 5-year OS.
Successfully stratified patients into low-risk and high-risk groups with significantly different median OS.

Conclusions:

The developed nomogram shows strong discriminative and risk-stratification capabilities for resectable GBC.
It can assist in optimizing adjuvant treatment selection and application.
Potential to improve patient outcomes through tailored therapeutic strategies.