Evidence map›Paper›PMID 38596500›Full record

ArticleWorld journal of gastroenterology2024

Differential diagnosis of Crohn's disease and intestinal tuberculosis based on ATR-FTIR spectroscopy combined with machine learning.

Yuan-Peng Li, Tian-Yu Lu, Fu-Rong Huang, Wei-Min Zhang, Zhen-Qiang Chen, Pei-Wen Guang, Liang-Yu Deng, Xin-Hao Yang

Abstract read
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In one paragraph

Article in World journal of gastroenterology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Yuan-Peng LiCollege of Physical Science and Technology, Guangxi Normal University, Guilin, Guangxi 541004, China.
Tian-Yu LuDepartment of Gastroenterology, The Affiliated Hospital of South University of Science and Technology, Shenzhen 518000, Guangdong Province, China.
Fu-Rong HuangDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, Guangdong Province, China.
Wei-Min ZhangDepartment of Gastroenterology, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou 510632, Guangdong Province, China. weigert@163.com.
Zhen-Qiang ChenDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, Guangdong Province, China.
Pei-Wen GuangDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, Guangdong Province, China.
Liang-Yu DengDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, Guangdong Province, China.
Xin-Hao YangDepartment of Optoelectronic Engineering, Jinan University, Guangzhou 510632, Guangdong Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCrohn's disease (CD) is often misdiagnosed as intestinal tuberculosis (ITB). However, the treatment and prognosis of these two diseases are dramatically different. Therefore, it is important to develop a method to identify CD and ITB with high accuracy, specificity, and speed.

aimTo develop a method to identify CD and ITB with high accuracy, specificity, and speed.

methodsA total of 72 paraffin wax-embedded tissue sections were pathologically and clinically diagnosed as CD or ITB. Paraffin wax-embedded tissue sections were attached to a metal coating and measured using attenuated total reflectance fourier transform infrared spectroscopy at mid-infrared wavelengths combined with XGBoost for differential diagnosis.

resultsThe results showed that the paraffin wax-embedded specimens of CD and ITB were significantly different in their spectral signals at 1074 cm

conclusionInformation on the mid-infrared region can reveal the different histological components of CD and ITB at the molecular level, and spectral analysis combined with machine learning to establish a diagnostic model is expected to become a new method for the differential diagnosis of CD and ITB.

Indexed as

Crohn DiseaseEnteritisTuberculosis, GastrointestinalAtaxia Telangiectasia Mutated ProteinsDiagnosis, DifferentialHumansMachine LearningParaffinSpectroscopy, Fourier Transform InfraredAtaxia Telangiectasia Mutated ProteinsATR protein, humanParaffinCrohn’s diseaseDifferential diagnosisInflammatory bowel diseaseInfrared spectroscopyIntestinal tuberculosisMachine learning

Identifiers

PMID38596500
PMCPMC11000079

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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.