Evidence map›Paper›PMID 37006277›Full record

ArticleFrontiers in immunology2023

TR score: A noninvasive model to predict histological stages in patients with primary biliary cholangitis.

Zhixin Tu, Yao Wang, Yan Wang, Jianjie Huang, Yujin Han, Qijia Ji, Xiaoxuan Cao, Xiaoyu Wen, Yang Wang, Qinglong Jin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. 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
0.6field-weighted citation impact, top 33% of its field
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, 3 citations in OpenAlex.

  1. Article
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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

10 authors at 4 institutions in 1 country.

Zhixin TuDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Yao WangDepartment of Gastroenterology, Qingdao Municipal Hospital, Qingdao, China.
Yan WangDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Jianjie HuangDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Yujin HanDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Qijia JiDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Xiaoxuan CaoDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Xiaoyu WenDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Yang WangDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
Qinglong JinDepartment of Hepatology, The First Hospital of Jilin University, Changchun, Jilin, China.
First Hospital of Jilin University · CNJilin University · CNQingdao Municipal Hospital · CNQingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aim of this study was to develop a noninvasive prediction model for histological stages in PBC that is simple, easy to implement, and highly accurate. Methods: A total of 114 patients with PBC were included in this study. Demographic, laboratory data and histological assessments were collected. The independent predictors of histological stages were selected to establish a noninvasive serological model. The scores of 22 noninvasive models were calculated and compared with the established model. Results: This study included 99 females (86.8%) and 15 males (13.2%). The number of patients in Scheuer's stage 1, 2, 3 and 4 was 33 (29.0%), 34 (29.8%), 16 (14.0%), and 31 (27.2%), respectively. TBA and RDW are independent predictors of PBC histological stages. The above indexes were used to establish a noninvasive model-TR score. When predicting early histological change (S1) or liver fibrosis and cirrhosis (S3-S4), the AUROC of TR score were 0.887 (95% CI, 0.809-0.965) and 0.893 (95% CI, 0.816-0.969), higher than all of the other 22 models included in this study. When predicting cirrhosis (S4), its AUROC is still as high as 0.921 (95% CI, 0.837-1.000). Conclusion: TR score is an easy, cheap and stable noninvasive model, without complex calculation formulas and tools, and shows good accuracy in diagnosing the histological stages of PBC.

Indexed as

Liver Cirrhosis, BiliaryFemaleFibrosisHumansLiver CirrhosisMaleSeverity of Illness Indexhistological stagenoninvasive modelprimary biliary cholangitisred blood cell distribution widthtotal bile acid

Identifiers

PMID37006277
PMCPMC10060872
OpenAlexW4327615724

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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.