Evidence map›Paper›PMID 36418369›Full record

ArticleScientific reports2022

Diagnostic performance of two non-invasive biomarkers used individually and in sequential combination for cirrhosis associated with hepatitis C virus infection.

Mohd Azri Mohd Suan, Huan Keat Chan, Xiaohui Sem, Sonjelle Shilton, Muhammad Radzi Abu Hassan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

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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

5 authors at 3 institutions in 2 countries.

Mohd Azri Mohd SuanClinical Research Centre, Hospital Sultanah Bahiyah, Ministry of Health, Alor Setar, Kedah, Malaysia. irzah96@yahoo.com.
Huan Keat ChanClinical Research Centre, Hospital Sultanah Bahiyah, Ministry of Health, Alor Setar, Kedah, Malaysia.
Xiaohui SemFIND, Geneva, Switzerland.
Sonjelle ShiltonFIND, Geneva, Switzerland.
Muhammad Radzi Abu HassanOffice of Deputy Director General, Ministry of Health Malaysia, Putrajaya, Malaysia.
Foundation for Innovative New Diagnostics · CHMinistry of Health · MYHospital Sultanah Bahiyah · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This cross-sectional study evaluated the performance of the Aspartate Aminotransferase-to-Platelet Ratio Index (APRI) and the Fibrosis-4 (FIB-4) Index when they were used individually and in sequential combination to diagnose cirrhosis associated with hepatitis C virus infection. The final evaluation involved 906 people living with hepatitis C. The diagnostic performance of individual biomarkers at cut-off scores of 1.5 and 2.0 for the APRI and at 3.25 for the FIB-4 index was assessed. For the sequential combination method, the cirrhosis status of individuals with an APRI score between 1.0 and 1.5 were reassessed using the FIB-4. Transient elastography (TE) was used as the reference standard for diagnosing cirrhosis. The APRI, at a cut-off score of 1.5, showed a sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of 44.9%, 97.6%, 91.1% and 76.3%, respectively. Increasing the cut-off score to 2.0 produced a much lower sensitivity (29.6%) and NPV (71.9%). The FIB-4, at a cut-off score of 3.25, yielded a sensitivity, specificity, PPV and NPV of 40.8%, 97.3%, 89.1% and 75.0%, respectively. The sequential combination method demonstrated a much more optimal diagnostic performance (50.2% sensitivity, 96.6% specificity, 89.0% PPV and 77.9% NPV). Overall, the APRI and FIB-4 Index performed better in diagnosing cirrhosis associated with hepatitis C when they were used in sequential combination.

Indexed as

HepacivirusHepatitis CAspartate AminotransferasesBiomarkersCross-Sectional StudiesHumansLiver CirrhosisPlatelet CountROC CurveSeverity of Illness IndexAspartate AminotransferasesBiomarkers

Identifiers

PMID36418369
PMCPMC9684447
OpenAlexW4309865384

What OpenQuestion holds

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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.