ReviewCurrent oncology (Toronto, Ont.)2021
Pathological Features and Prognostication in Colorectal Cancer.
Review in Current oncology (Toronto, Ont.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 174 papers, 5 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
174 citing papers in PubMed, 5 syntheses or guidelines pooled it, 232 citations in OpenAlex.
- Prognostic Value of Pretreatment C-Reactive-Protein-Albumin-Lymphocyte Index in Colorectal Cancer: Systematic Review and Meta-Analysis.Journal of gastrointestinal cancer · 2026Pooled it
- Prognostic impact of myosteatosis on postoperative outcomes and survival in colorectal cancer: a systematic review.International journal of colorectal disease · 2026Pooled it
- Bibliometric and visual analysis of global crc circular RNA research 2015-2023.Frontiers in immunology · 2025Pooled it
- Inflammation and Colorectal Cancer: A Meta-Analysis of the Prognostic Significance of the Systemic Immune-Inflammation Index (SII) and the Systemic Inflammation Response Index (SIRI).International journal of molecular sciences · 2024Pooled it
- Pooled it
- Survival analysis in pT1-3 and paracolic lymph-node invasion colorectal cancer: the prognostic role of positive paracolic lymph-node ratio for adjuvant chemotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Trial
- Development and validation of a nomogram for preoperative prediction of tumor deposits in colorectal cancer.World journal of gastroenterology · 2023Trial
- [Sentinel lymph node mapping in colorectal and anal tumors from the beginning until now].Magyar onkologia · 2026Article
- Tumor Invasive Border Index (TIBI) in colorectal cancer: linking infiltrative morphology to molecular insights.The Journal of pathology · 2026Article
- Beyond Simple Ratios: Can the Preoperative HALP Score Provide a More Effective Inflammatory Biomarker for Colon Cancer Survival?Medicina (Kaunas, Lithuania) · 2026Article
- Robotic versus laparoscopic surgery for right-sided colon cancer: is it better for central lymph nodes harvesting in right colectomy with complete mesocolic excision?Surgical endoscopy · 2026Article
- Survival Outcomes of Patients With Colorectal Cancer After Primary Surgery: A Population-Based Study in Hainan, China.Cancer medicine · 2026Article
- Exploratory Development and Interpretation of an Internally Validated XGBoost-Cox Model Based on Preoperative Inflammation-Nutrition Indices for Overall Survival in Primary Pathological Stage I Rectal Cancer.Current oncology (Toronto, Ont.) · 2026Article
- Uncovering the mechanism of DCLK3 in colorectal cancer progression through WGCNA and machine learning.BMC cancer · 2026Article
- Pathology-derived clinical micro-architectural diagnostics of tumour-microbiome interactions in colorectal cancer.Journal of translational medicine · 2026Article
- Clinical factors are more strongly associated with prognosis than genetic alterations in early-onset colorectal cancer: a retrospective cohort study.BMC cancer · 2026Article
- Artificial intelligence for the prediction of prognosis in colorectal cancer patients using routine blood indices.NPJ digital medicine · 2026Article
- BMX-001 acts as a selective chemoradioprotector in rectal cancer.Redox biochemistry and chemistry · 2026Article
- Role of CDX2 in the prognosis of colorectal cancer across stages 0-IV.Oncology letters · 2026Article
- A disulfidptosis-related lncRNA prognostic model identifies MALINC1 as a regulator of platinum drug sensitivity in colon adenocarcinoma.Translational cancer research · 2026Article
114 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
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prognostication of colorectal cancer (CRC) has traditionally relied on staging as defined by the Union for International Cancer Control (UICC) and American Joint Committee on Cancer (AJCC) TNM staging classifications. However, clinically, there appears to be differences in survival patterns independent of stage, suggesting a complex interaction of stage, pathological features, and biomarkers playing a role in guiding prognosis, risk stratification, and guiding neoadjuvant and adjuvant therapies. Histological features such as tumour budding, perineural invasion, apical lymph node involvement, lymph node yield, lymph node ratio, and molecular features such as MSI, KRAS, BRAF, and CDX2 may assist in prognostication and optimising adjuvant treatment. This study provides a comprehensive review of the pathological features and biomarkers that are important in the prognostication and treatment of CRC. We review the importance of pathological features and biomarkers that may be important in colorectal cancer based on the current evidence in the literature.
Indexed as
Identifiers
What 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.