Evidence map›Paper›PMID 42304557›Full record

ArticleJournal of viral hepatitis2026

Assessing the Utility of Shortened Read Time of the Abbott Bioline HCV Test to Predict Viremia.

Bridget Louise Draper, Mon Mon Su Naing, Hla Htay, Mia Flynn, Mark Stoove, Margaret Hellard, Alisa Pedrana

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Journal of viral hepatitis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03939013 (Hepatitis C), which is not on this map. Not yet cited in PubMed.

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

NCT03939013 nacompletednot on this map

Hepatitis C: Community Testing and Treatment (CT2 Study Myanmar)

TypeinterventionalSponsorMacfarlane Burnet Institute for Medical Research and Public Health LtdRan2019 to 2020Enrolled634ConditionsHepatitis CArmsXpert HCV VL
3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Bridget Louise DraperBurnet Institute, Melbourne, Victoria, Australia.
Mon Mon Su NaingBurnet Institute, Yangon, Myanmar.
Hla HtayBurnet Institute, Yangon, Myanmar.
Mia FlynnBurnet Institute, Melbourne, Victoria, Australia.
Mark StooveBurnet Institute, Melbourne, Victoria, Australia.
Margaret HellardBurnet Institute, Melbourne, Victoria, Australia.
Alisa PedranaBurnet Institute, Melbourne, Victoria, Australia.

Funding

Australian Government
6 · The paper itself

Abstract

The current two-step model for HCV diagnosis risks losing people from care; a one-step diagnostic approach could improve retention. We investigated whether shortening the read time of an HCV antibody test from 20-min to 1 or 5-min could accurately predict HCV RNA viremia in-lieu of a standard RNA test. 1110 people in Yangon had a HCV Ab using Bioline HCV RDT. Results were recorded at 1-min intervals until 20-min, with HCV RNA testing of reactive results at 20-min. 884 participants returned both antibody and RNA results; 838 were Ab reactive at 1-min, 875 were reactive at 5-min and 728 were RNA positive. Sensitivity was 98.6% and 100% for 1 and 5-min read-times, and specificity was 23.1% and 5.8% for 1 and 5-min respectively. Our results suggest that reading the Bioline at 5 min has potential to identify patients with HCV infection ahead of reflexive RNA testing. Trial Registration: ClinicalTrials.gov:NCT03939013.

Indexed as

HepacivirusHepatitis CHepatitis C AntibodiesRNA, ViralViremiaFemaleHumansMaleRapid Diagnostic TestsSensitivity and SpecificityTime FactorsHepatitis C AntibodiesRNA, Viral

Identifiers

PMID42304557
PMCPMC13272765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.