Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
June 1, 2024Journal of Clinical Oncology

The utility of multiple clinical variables in predicting survival outcome for patients with rectal cancer: An integrated regression and retrospective cohort analysis.

View Full Paper
Ask AI
Bookmark
Share

Authors

JZJiasheng ZhongFLFuming LeiQGQingkun Gao

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Zhong et al. (2024) studied this question.

synapsesocial.com/papers/68e671cdb6db6435875fc9abhttps://doi.org/10.1200/jco.2024.42.16_suppl.e15610
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Development and Validation of a Nomogram for Predicting Specific Mortality Risk After Surgery for Locally Advanced Rectal Cancer: Studies Based on SEER Database and External Validation Cohorts.2025
  2. 2Prediction models of locally advanced rectal cancer prognosis incorporating perioperative longitudinal clinical data: A retrospective longitudinal cohort study.2024
  3. 3Constructing a prognostic model for colorectal cancer with synchronous liver metastases after preoperative chemotherapy: a study based on SEER and an external validation cohort2024 · 1 citations
  4. 4A machine learning model for predicting recurrence and survival in stage I-III colorectal cancer.2026
  5. 5A Prediction Model for Disease-Free Survival Following R0/R1 Rectal Cancer Resection: A Retrospective Longitudinal Study Based on the Norwegian and Danish Colorectal Cancer Quality Registries2026