Evidence map›Paper›PMID 38049548›Full record

ArticleScientific reports2023

Development and validation of a blood routine-based extent and severity clinical decision support tool for ulcerative colitis.

Hongliang Chen, Xindi Lin, Xinyue Pan, Hongyu Xu, Xuemei Zhang, Guoying Liang, Jiawei Qiu, Xueyan Zhang, Yang Gao, Xin Tan and 9 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

19 authors.

Hongliang ChenDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Xindi LinDepartment of Statistics, University of Wisconsin, Madison, WI, USA.
Xinyue PanSchool of Economics and Finance, Xi'an Jiaotong University, Xi'an, China.
Hongyu XuDepartment of Gastroenterology and Hepatology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Xuemei ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Jiamusi University, Jiamusi, China.
Guoying LiangDepartment of Liver, Spleen and Stomach Diseases, The First Affiliated Hospital of Heilongjiang University of Chinese Medicine, Harbin, China.
Jiawei QiuDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Xueyan ZhangDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Yang GaoDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Xin TanDepartment of Gastroenterology and Hepatology, The First Affiliated Hospital of Harbin Medical University, Harbin, China.
Ning LiDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Huimin CaiDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Xueyu CangDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Jihan QiDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Wei LiDepartment of Gastroenterology, The First Affiliated Hospital of Jiamusi University, Jiamusi, China.
Shuang LiDepartment of Gastroenterology, The First Affiliated Hospital of Jiamusi University, Jiamusi, China.
Yutong ZhengDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Lei ZhaoDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China.
Shizhu JinDepartment of Gastroenterology and Hepatology, The Second Affiliated Hospital of Harbin Medical University, 246 Xuefu Road, Nangang District, Harbin, 150086, Heilongjiang, China. drshizhujin@hrbmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring extent and severity is vital in the ulcerative colitis (UC) follow-up, however, current assessment is complex and low cost-effectiveness. We aimed to develop a routine blood-based clinical decision support tool, Jin's model, to investigate the extent and severity of UC. The multicentre retrospective cohort study recruited 975 adult UC inpatients and sub-grouped into training, internal validation and external validation set. Model was developed by logistics regression for the extent via Montreal classification and for the severity via Mayo score, Truelove and Witts score (TWS), Mayo endoscopic score (MES) and Degree of Ulcerative colitis Burden of Luminal Inflammation (DUBLIN) score. In Montreal classification, left-sided and extensive versus proctitis model achieved area under the receiver operating characteristic curve (AUROC) of 0.78 and 0.81 retrospectively. For severity, Mayo score model, TWS model, MES model and DUBLIN score model achieved an AUROC of 0.81, 0.70, 0.74 and 0.70 retrospectively. The models also were evaluated with satisfactory calibration and clinical unity. Jin's model was free with open access at http://jinmodel.com:3000/ . Jin's model is a noninvasive, convenient, and efficient approach to assess the extent and severity of UC.

Indexed as

Colitis, UlcerativeDecision Support Systems, ClinicalAdultColonoscopyHumansRetrospective StudiesSeverity of Illness Index

Identifiers

PMID38049548
PMCPMC10696009

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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.