Evidence map›Paper›PMID 36384447›Full record

ArticleBMC gastroenterology2022

Differential diagnosis of Crohn's disease and intestinal tuberculosis: development and assessment of a nomogram prediction model.

Shaoxiong Zeng, Ying Lin, Jiaxiang Guo, Xi Chen, Qiong Liang, Xiaoming Zhai, Jin Tao

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PubMed Full text at PMC Publisher
In one paragraph

Article in BMC gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Guideline
  2. Global burden of inflammatory bowel disease in Asia, 1990-2023: A global burden of disease study 2023.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. A Nomogram Diagnostic Model for Eustachian Tube Dysfunction in Patients with Tympanic Membrane Perforation.Journal of otolaryngology - head & neck surgery = Le Journal d'oto-rhino-laryngologie et de chirurgie cervico-faciale
    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

7 authors.

Shaoxiong ZengDepartment of Gastroenterology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, 510630, Guangzhou, Guangdong Province, China.
Ying LinDepartment of Gastroenterology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, 510630, Guangzhou, Guangdong Province, China.
Jiaxiang GuoDepartment of Gastroenterology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, 510630, Guangzhou, Guangdong Province, China.
Xi ChenDepartment of Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, 510630, Guangzhou, Guangdong Province, China.
Qiong LiangDepartment of Pathology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, 510630, Guangzhou, Guangdong Province, China.
Xiaoming ZhaiDepartment of Gastroenterology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, 510630, Guangzhou, Guangdong Province, China.
Jin TaoDepartment of Gastroenterology, The Third Affiliated Hospital of Sun Yat-Sen University, No. 600 Tianhe Road, 510630, Guangzhou, Guangdong Province, China. taojin3@mail.sysu.edu.cn.

Funding

The National Natural Science Foundation for Young Scientists of China 81800458
6 · The paper itself

Abstract

backgroundChina is a region with a high incidence of tuberculosis, and the incidence of IBD has also been rising rapidly in recent years. Differentiating Crohn's disease(CD) from intestinal tuberculosis (ITB) has become a very challenging issue. We aimed to develop and assess a diagnostic nomogram to differentiate between CD and ITB to improve the accuracy and practicability of the model.

methodsA total of 133 patients (CD 90 and ITB 43) were analyzed retrospectively. Univariate and multivariate logistic regression analysis was included to determine the independent predictive factors and establish the regression equation. On this basis, the nomogram prediction model was constructed. The discrimination, calibration and clinical efficiency of the nomogram were assessed using area under the curve(AUC), C-index, calibration curve, decision curve analysis (DCA) and clinical impact curve.

resultsT-SPOT positive, cobblestone appearance, comb sign and granuloma were significant predictors in differentiating CD from ITB. Base on the above independent predictors, a diagnostic nomogram was successfully established. The sensitivity, specificity, accuracy of the prediction model are 94.4%, 93.0%, 94.0% respectively. The AUC and the C-index of the prediction model are both 0.988, which suggest that the model had a good discrimination power. The calibration curve indicated a high calibration degree of the prediction model. The DCA and clinical impact curve indicated a good clinical efficiency of the prediction model which could bring clinical benefits.

conclusionA nomogram prediction model for distinguishing CD from ITB was developed and assessed, with high discrimination, calibration and clinical efficiency. It can be used as an accurate and convenient diagnostic tool to distinguish CD from ITB, facilitating clinical decision-making.

Indexed as

Crohn DiseaseEnteritisPeritonitis, TuberculousTuberculosis, GastrointestinalDiagnosis, DifferentialHumansNomogramsRetrospective StudiesCrohn’s diseaseDifferential diagnosisIntestinal tuberculosisNomogramPrediction model

Identifiers

PMID36384447
PMCPMC9670453

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Registered trials

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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.