Evidence map›Paper›PMID 40676404›Full record

ReviewMolecular biology reports2025

Detection of anti-HCV antibodies in the clinical classification and epidemiological surveillance of HCV infection.

Robério Amorim de Almeida Pondé

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular biology reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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.

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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

1 author.

Robério Amorim de Almeida PondéState Health Department - SES/Superintendence of Health Surveillance SUVISA/GO, Management of Epidemiological Surveillance of Transmissible Diseases-GVEDT/Coordination of Research and Analysis - COPA, Rua 136 Qd F44 Lt 22/24 Ed. César Sebba- Setor Sul, Goiânia, 74-093-250, Goiás, Brazil. roponde@gmail.com.ORCID http://orcid.org/0000-0001-8909-9091

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The acute hepatitis C virus (HCV) infection can lead to two clinical outcomes: clinical recovery or chronicity. Regardless of the outcome, anti-HCV antibodies will be present in the individual bloodstream who have had contact with the virus, which is why the sensitivity of these antibodies is high in monitoring the infection, except in specific cases. For this reason, epidemiological surveillance of hepatitis C is based on tracking this marker, both in the general population and in the high-risk groups.On the other hand, since it is the only marker of infection addressed in hepatitis C surveillance, the detection of anti-HCV antibodies in the bloodstream does not have sufficient specificity to indicate the infection's clinical classification. On the contrary, their detection can have three very distinct meanings: Active infection (acute or chronic), defined by the detection of these antibodies and HCV RNA in the serum; Past (resolved) following previous exposure, when HCV RNA is not detectable in the serum, or false-positive result, when the anti-HCV antibodies detection is not confirmed. This manuscript discusses the specificity of anti-HCV antibodies in the clinical classification of HCV infection and their sensitivity in the epidemiological surveillance of hepatitis C. This review covers the clinical and epidemiological interpretations of the marker itself, without reference to any specific assays.

Indexed as

HepacivirusHepatitis CHepatitis C AntibodiesBiomarkersEpidemiological MonitoringHumansRNA, ViralSensitivity and SpecificityBiomarkersHepatitis C AntibodiesRNA, Viralanti-HCVHCV infectionHepatitis C virusSensitivitySpecificity

Identifiers

PMID40676404

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.