Evidence map›Paper›PMID 38708876›Full record

ArticleSaudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association2024

A novel nomogram for the prediction of perforation during endoscopic submucosal dissection for colorectal neoplasms.

Yuxin Zhang, Fang Gu, Xun Liu, Shigang Ding

Abstract read
In one paragraph

Article in Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Risk of perforation related to colorectal endoscopic submucosal dissection: Is this finally predictable?Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2024
    Article
  2. Article
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

4 authors.

Yuxin ZhangDepartment of Gastroenterology, Peking University Third Hospital, Beijing 100191, China.
Fang GuDepartment of Gastroenterology, Peking University Third Hospital, Beijing 100191, China.
Xun LiuDepartment of Gastroenterology, Peking University Third Hospital, Beijing 100191, China.
Shigang DingDepartment of Gastroenterology, Peking University Third Hospital, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh perforation risk hinders the widespread adoption of ESD for colorectal neoplasms. This study was performed to determine the risk factors of colorectal endoscopic submucosal dissection (ESD)-induced perforation and develop a predictive model.

methodsA total of 1046 colorectal neoplasms in 1011 patients were retrospectively enrolled from January 2011 to December 2021, in a single tertiary center as the derivation cohort. We identified independent risk factors for perforation using univariate analysis and multi-variate logistic regression. A nomogram was developed based on the logistic regression model and prospectively applied to 266 colorectal neoplasms as the validation cohort. The performance of the predictive model was evaluated with the receiver operating characteristic curve, calibration plot, and decision curve analysis.

resultsIndependent pre-operative factors for colorectal ESD-induced perforation were tumor located in the left colon [odds ratio (OR) 2.39, P = 0.040], size ≥ 40 mm (OR 3.36, P < 0.001), ≥2/3 circumference (OR 7.55, P = 0.004), located across folds (OR 6.26, P < 0.001), and laterally spreading tumor (non-granular type, OR 2.34, P = 0.029; granular type, OR 2.46, P = 0.021). The nomogram model incorporating the pre-operative factors performed well in both the derivation and validation cohorts (areas under the curve of 0.750 and 0.806, respectively). Decision curve analysis demonstrated that the clinical benefit of the nomogram was favorable.

conclusionsThe novel nomogram, developed and prospectively validated, incorporating tumor size, location, and morphology can successfully predict perforation during ESD for colorectal neoplasms.

Indexed as

Colorectal NeoplasmsEndoscopic Mucosal ResectionIntestinal PerforationNomogramsAgedColonoscopyFemaleHumansLogistic ModelsMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsROC Curve

Identifiers

PMID38708876
PMCPMC11379254

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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.