ReviewNature reviews. Clinical oncology2011
Has the new TNM classification for colorectal cancer improved care?
Review in Nature reviews. Clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 113 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
113 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The prognostic value of immunoscore in patients with colorectal cancer: A systematic review and meta-analysis.Cancer medicine · 2019Pooled it
- The prognostic value of proliferating cell nuclear antigen expression in colorectal cancer: A meta-analysis.Medicine · 2018Pooled it
- Trial
- Artificial intelligence for evaluation of magnetic resonance imaging-detected extramural vascular invasion in rectal cancer.PLOS digital health · 2026Article
- A spatial immune scoring system based on the tumor microenvironment features improves prognostic stratification in lung adenocarcinoma.Translational oncology · 2026Article
- Temporal change in skeletal muscle index as a predictor of recurrence for patients with locally advanced colorectal malignancy: a retrospective cohort study.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- ASO Author Reflections: Time-to-Event Machine Learning for Prognostication of Locally Advanced Colorectal Cancer: Insights into Current Progress and Future Directions.Annals of surgical oncology · 2026Article
- Article
- Development and Validation of Time-to-Event Machine Learning Models for Predicting Disease-Free Survival in Patients with Locally Advanced Colorectal Cancer: A Multicenter Cohort Study.Annals of surgical oncology · 2026Article
- The prognostic value of immunoscore in the early-onset colorectal cancer.BMC gastroenterology · 2025Article
- Development and Validation of an Immune Prognostic Index Related to Infiltration of CD4+ and CD8+ T Cells in Colorectal Cancer.Molecular biotechnology · 2025Article
- Multitask deep learning model based on multimodal data for predicting prognosis of rectal cancer: a multicenter retrospective study.BMC medical informatics and decision making · 2025Article
- Intratumoral T cells are associated with prognosis and chemotherapy benefit in gastric cancer.Histology and histopathology · 2025Article
- Investigation of three alternative histopathological scoring methods at the invasive tumour front in colorectal cancer.The journal of pathology. Clinical research · 2025Article
- Machine learning approach to predict prognosis and immunotherapy responses in colorectal cancer patients.hLife · 2025Article
- Unveiling the prognostic role of FABP4 in early-onset colorectal cancer through big data analysis and preliminary clinical validation.Frontiers in oncology · 2025Article
- Prognostic prediction models for postoperative patients with stage I to III colorectal cancer based on machine learning.World journal of gastrointestinal oncology · 2024Article
- Identification of a distinctive immunogenomic gene signature in stage-matched colorectal cancer.Journal of cancer research and clinical oncology · 2024Article
- The Molecular Classification of Pheochromocytomas and Paragangliomas: Discovering the Genomic and Immune Landscape of Metastatic Disease.Endocrine pathology · 2024Review
- Accuracy of Baseline Magnetic Resonance Imaging for Staging Rectal Cancer Patients Proceeding Directly to Surgery.Journal of surgical oncology · 2024Article
53 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In 2009, the Union for International Cancer Control issued the seventh edition of the well-used T (tumor), N (node), and M (metastasis) classification guidelines. There has been a continual refinement of the staging for colorectal cancer since this system for assessing tumor stage was initially adopted and it has been used to guide treatment decisions for over 50 years. However, the outcome after therapy for patients with colorectal cancer is very variable, even when patients are assigned to the same TNM category. This article assesses the changes that have been made since the sixth edition and discusses whether they are, in fact, informative improvements for a practicing clinician.
Indexed as
Identifiers
22009076What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.