Evidence map›Paper›PMID 40977655›Full record

ArticleWorld journal of gastrointestinal oncology2025

Construction of a risk prediction model for early postoperative recurrence in stage II/III colorectal cancer.

Feng-Chun Xiong, Ming-Peng Luo, Shan-Ming Ruan

Abstract read
In one paragraph

Article in World journal of gastrointestinal oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Feng-Chun XiongDepartment of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 31000, Zhejiang Province, China.
Ming-Peng LuoDepartment of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 31000, Zhejiang Province, China.
Shan-Ming RuanDepartment of Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou 31000, Zhejiang Province, China. shanmingruan@zcmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) recurrence within a year post-surgery poses significant challenges for stage II/III patients. Few models currently predict this early recurrence with multi-dimensional considerations for risk stratification.

aimTo develop a model for predicting the risk of recurrence within one year after surgery in patients with stage II/III CRC.

methodsWe conducted a retrospective cohort study at Zhejiang Provincial Hospital of Chinese Medicine, including 349 stage II/III CRC patients. Clinical data were collected, and the dataset was randomly divided into training (

resultsDuring the one-year follow-up, 10.9% (38/349) of patients experienced recurrence. Univariate analysis identified tumor size, lymph node metastasis (N2 stage), neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, fatigue, and appetite loss as significant correlates of recurrence. Multivariate logistic regression confirmed N2 stage, appetite loss, tumor size, and neutrophil-to-lymphocyte ratio as independent risk factors. The nomogram model showed excellent performance. The area under the receiver operating characteristic was 0.98 (95% confidence interval: 0.97-1.00) in training set and 0.91 (95% confidence interval: 0.84-0.97) in testing set. The decision curve analysis curves showed strong concordance between predicted and observed recurrence probabilities.

conclusionThe model effectively predicts early postoperative recurrence in stage II/III CRC, integrating clinical, inflammatory, and symptomatic factors.

Indexed as

Appetite lossColorectal cancerNeutrophil-to-lymphocyte ratioNomogramPostoperativeRecurrence

Identifiers

PMID40977655
PMCPMC12444318

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.