Evidence map›Paper›PMID 37064839›Full record

ArticleClinical and experimental hepatology2023

DAPS score - a novel score for prediction of significant fibrosis in incidentally detected asymptomatic hepatitis B subjects.

Sridhar Sundaram, Harish Darak, Sanjay Kumar, Suprabhat Giri, Shobna Bhatia

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Article in Clinical and experimental hepatology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Sridhar SundaramSeth GS Medical College and KEM Hospital, India.
Harish DarakSeth GS Medical College and KEM Hospital, India.
Sanjay KumarSeth GS Medical College and KEM Hospital, India.
Suprabhat GiriSeth GS Medical College and KEM Hospital, India.
Shobna BhatiaSeth GS Medical College and KEM Hospital, India.
King Edward Memorial Hospital and Seth G.S. Medical College · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim of the study: Significant fibrosis is an indication for treatment in hepatitis B patients with normal transaminase levels. The present study was aimed at analyzing the factors associated with significant fibrosis in incidentally detected asymptomatic hepatitis B subjects (IDAHS) and developing a model for fibrosis prediction for use in low-resource settings. Material and methods: This is a single-center retrospective analysis of data on IDAHS who had undergone FibroScan. The variables associated with significant fibrosis in the derivation cohort were subjected to multivariate analysis by logistic regression. The model was applied to the validation cohort for fibrosis prediction. Results: A total of 299 patients (mean age: 42.6 years, males: 63.2%) were included in the model derivation. Significant fibrosis was found in 27.4% (82/299) of the patients and 16.8% (30/178) of those with normal transaminase. On multivariate analysis, age, lower platelet count, and presence of diabetes were associated with fibrosis. Serum glutamic pyruvic transaminase (SGPT) was included in the model as it was nearing towards in multivariate analysis. The DAPS (diabetes, age, platelet count, SGPT) score was proposed with equal weightage to each variable. Based on the cumulative score, patients were categorized as having low risk (DAPS score 0-2) or high risk (DAPS score 3-4). The specificity of the model in derivation and validation cohorts was 98.2% and 97.6%, respectively, while the accuracy was 83.6% and 80%, respectively. Conclusions: Approximately 17% of IDAHS with normal transaminase have significant fibrosis. The DAPS score can be used easily as a bedside tool for assessment of significant fibrosis in IDAHS with excellent specificity.

Indexed as

hepatic fibrosishepatitis Bnon-invasive assessmenttransient elastography

Identifiers

PMID37064839
PMCPMC10090992
OpenAlexW4321097874

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