Evidence map›Paper›PMID 37089512›Full record

ArticleFrontiers in public health2023

Identification of pseudo-immune tolerance for chronic hepatitis B patients: Development and validation of a non-invasive prediction model.

Shuo Li, Zhiguo Li, Hongbo Du, Xiaobin Zao, Da'nan Gan, Xianzhao Yang, Xiaoke Li, Yufeng Xing, Yong'an Ye

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Frontiers in public health, 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
0.4field-weighted citation impact, top 36% 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, 2 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

9 authors at 3 institutions in 1 country.

Shuo LiDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Zhiguo LiDepartment of Gastroenterology, Beijing Fengtai Hospital of Integrated Traditional and Western Medicine, Beijing, China.
Hongbo DuDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiaobin ZaoDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Da'nan GanDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xianzhao YangDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Xiaoke LiDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Yufeng XingDepartment of Hepatology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, China.
Yong'an YeDepartment of Gastroenterology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
Beijing University of Chinese Medicine · CNBeijing Fengtai Hospital · CNShenzhen Pingle Orthopedic Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Patients with chronic hepatitis B (CHB) in the immune tolerant (IT) phase were previously thought to have no or slight inflammation or fibrosis in the liver. In fact, some CHB patients with normal ALT levels still experience liver fibrosis. This study aimed to develop and validate a non-invasive model for identifying pseudo-immune tolerance (pseudo-IT) of CHB by predicting significant liver fibrosis. Methods: This multi-center study enrolled a total of 445 IT-phase patients who had undergone liver biopsy for the training cohort ( Results: 8.8% (39 of 445) patients presented with significant liver fibrosis in this study. Aspartate aminotransferase (AST), hepatitis B e-antigen (HBeAg), and platelet (PLT) were included in the prediction model (IT-3). The IT-3 model showed good calibration and discrimination both in the training and validation cohorts (AUC = 0.888 and 0.833, respectively). The continuous NRI and IDI showed that the IT-3 model had better predictive accuracy than GPR, APRI, and FIB-4 ( Conclusion: The IT-3 model proved an accurate non-invasive method in identifying pseudo-IT of CHB, which can help to formulate more appropriate treatment strategies.

Indexed as

Hepatitis B, ChronicHepatitis B e AntigensHumansLiver CirrhosisRetrospective StudiesRisk FactorsHepatitis B e Antigenschronic hepatitis Bimmune tolerantliver biopsyliver fibrosisnomogram

Identifiers

PMID37089512
PMCPMC10113541
OpenAlexW4362623355

What OpenQuestion holds

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LicenceCC BY
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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.