Evidence map›Paper›PMID 37831406›Full record

ReviewThe Journal of infectious diseases2024

What Is Needed to Move Toward Single-Step Diagnosis of Current HCV Infection?

Jordan J Feld

Open access · hybridAbstract readReview
In one paragraph

Review in The Journal of infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Predicting hepatitis C infection via machine learning.American journal of translational research · 2025
    Article
  6. Performance of ElecsysDiagnostics (Basel, Switzerland) · 2024
    Article
  7. Article
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 at 1 institution in 1 country.

Jordan J FeldToronto Centre for Liver Disease, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-2640-2211
University Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite remarkable therapeutic advances, hepatitis C virus (HCV) infection continues to be a major global problem. While the development of highly effective direct-acting antivirals has ensured that almost all those who are treated achieve viral cure, progress toward HCV elimination globally has stalled due to challenges upstream of treatment in the cascade of care, namely diagnosis and linkage to care. The major challenge continues to be the relative complexity of HCV diagnosis with the current requirement for a confirmatory HCV RNA test after an initial antibody-positive result. In this review, challenges with the current paradigm are highlighted with a focus on new technologies, as well as simple strategies using existing tools, which may simplify diagnosis and improve linkage to care and treatment. To achieve HCV elimination, improvements in the HCV diagnostics field to allow for a simple single-step diagnosis are required.

Indexed as

HepacivirusHepatitis CAntiviral AgentsHepatitis C AntibodiesHumansMolecular Diagnostic TechniquesRNA, ViralAntiviral AgentsHepatitis C AntibodiesRNA, Viralcascade of careHCV core antigenHCV eliminationpoint-of-care (POC) RNAreflex testing

Identifiers

PMID37831406
PMCPMC11078311
OpenAlexW4387597529

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.