Evidence map›Paper›PMID 39666009›Full record

ArticleInternational journal of colorectal disease2024

Establishing a nomogram for predicting the risk factors for delayed bleeding after endoscopic submucosal dissection for colorectal tumors.

FuCheng Bian, KunShi Li, GuangYu Bian, XiuMei Li

Abstract read
In one paragraph

Article in International journal of colorectal disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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.

FuCheng Bian *Department of Endoscopic Diagnosis, Daqing Oilfield General Hospital, Heilongjiang, Daqing, 163000, China.ORCID http://orcid.org/0000-0003-4277-3039
KunShi Li *Department of Endoscopic Diagnosis, Daqing Oilfield General Hospital, Heilongjiang, Daqing, 163000, China.
GuangYu Bian *Department of Obstetrics, Daqing Oilfield General Hospital, Heilongjiang, Daqing, 163000, China.
XiuMei LiDepartment of Endoscopic Diagnosis, Daqing Oilfield General Hospital, Heilongjiang, Daqing, 163000, China. doclixiumei@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to establish a nomogram that can predict the risk factors for delayed bleeding after endoscopic submucosal dissection (ESD). This model can be used to assess the probability of delayed bleeding before ESD surgery, thereby avoiding wasting medical resources and improving patient satisfaction.

methodsThis was a retrospective study in which all patients underwent ESD surgery for colorectal tumors between August 2021 and February 2024. Patient demographics and surgical characteristics were collected. All patients were randomly divided into a training set and a testing set. Univariate and multivariate regression analyses of the training set revealed the independent risk factors for delayed bleeding after ESD. These independent risk factors were used to construct a nomogram model. This model was validated using internal validation methods such as the C-index, calibration curve, and decision curve analysis.

resultsThis study included 587 patients. The occurrence rate of delayed bleeding after ESD in the training set was 8.98%. Multivariate regression analysis revealed that the location of the lesion in the rectum, a large lesion, and a prolonged surgery time were independent risk factors for delayed bleeding after ESD. The C-index for this model was 0.89, and validation of this nomogram model demonstrated good consistency between the predicted and actual values.

conclusionMultivariate regression analysis revealed the independent risk factors for delayed bleeding after ESD, and a nomogram with a relatively consistent accuracy was established. The clinical application of this model can reduce the incidence of delayed bleeding and therefore improve patient healing.

Indexed as

Colorectal NeoplasmsEndoscopic Mucosal ResectionNomogramsAgedFemaleHumansMaleMiddle AgedMultivariate AnalysisPostoperative HemorrhageRetrospective StudiesRisk FactorsTime FactorsDelayed bleedingEndoscopic submucosal dissectionNomogramRisk factor

Identifiers

PMID39666009
PMCPMC11638303

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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.