Evidence map›Paper›PMID 32833976›Full record

ArticlePloS one2020

Model-based cost-effectiveness estimates of testing strategies for diagnosing hepatitis C virus infection in Central and Western Africa.

Léa Duchesne, Gilles Hejblum, Richard Njouom, Coumba Touré Kane, Thomas d'Aquin Toni, Raoul Moh, Babacar Sylla, Nicolas Rouveau, Alain Attia, Karine Lacombe

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 24 citations in OpenAlex.

  1. Performance Evaluation of the Xpert® HCV Test on Fingerstick Blood in a Prospective Observational Clinical Study at CLIA-Waived Sites in the United States.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
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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

10 authors at 8 institutions in 4 countries.

Léa DuchesneInstitut Pierre Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, France.ORCID 0000-0001-8139-319X
Gilles HejblumInstitut Pierre Louis d'Épidémiologie et de Santé Publique, Sorbonne Université, INSERM, Paris, France.
Richard NjouomVirology Department, Pasteur Centre of Cameroon, Yaoundé, Cameroon.
Coumba Touré KaneLaboratoire de Bactériologie Virologie, Centre Hospitalier Universitaire Aristide Le Dantec/ Université Cheikh Anta Diop de Dakar, Dakar, Senegal.
Thomas d'Aquin ToniCentre de Diagnostic et de Recherches sur le SIDA (CeDReS), Centre Hospitalier Universitaire de Treichville, Abidjan, Côte d'Ivoire.
Raoul MohProgramme PAC-CI, Abidjan, Côte d'Ivoire.
Babacar SyllaInstitut de Médecine et d'Epidémiologie Appliquée (IMEA), Paris, France.
Nicolas RouveauInternational Research and Collaboration unit, Agence Nationale de Recherche sur le Sida et les hépatites virales (ANRS), Paris, France.
Alain AttiaService d'Hépatologie, Centre Hospitalier Universitaire de Yopougon, Abidjan, Côte d'Ivoire.
Karine LacombeInstitut Pierre Louis d'Epidémiologie et de Santé Publique, Sorbonne Université, INSERM, AP-HP, Hôpital Saint-Antoine, Service des Maladies Infectieuses et Tropicales, Paris, France.
Inserm · FRAgence Nationale de Recherches sur le Sida et les Hépatites Virales · FRCentre Hospitalier Universitaire de Yopougon · CICentre Pasteur du Cameroun · CMHôpital Aristide Le Dantec · SNProgramme PAC-CI · CIUniversité Claude Bernard Lyon 1 · FRUniversity Hospital Medical Center at Treichville · CI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhereas 72% of hepatitis C virus (HCV)-infected people worldwide live in low- and middle-income countries (LMICs), only 6% of them have been diagnosed. Innovative technologies for HCV diagnosis provide opportunities for developing testing strategies more adapted to resource-constrained settings. However, studies about their economic feasibility in LMICs are lacking.

methodsAdopting a health sector perspective in Cameroon, Cote-d'Ivoire, and Senegal, a decision tree model was developed to compare 12 testing strategies with the following characteristics: a one-step or two-step testing sequence, HCV-RNA or HCV core antigen as confirmative biomarker, laboratory or point-of-care (POC) tests, and venous blood samples or dried blood spots (DBS). Outcomes measures were the number of true positives (TPs), cost per screened individual, incremental cost-effectiveness ratios, and nationwide budget. Corresponding time horizon was immediate, and outcomes were accordingly not discounted. Detailed sensitivity analyses were conducted.

findingsIn the base-case, a two-step POC-based strategy including anti-HCV antibody (HCV-Ab) and HCV-RNA testing had the lowest cost, €8.18 per screened individual. Assuming a lost-to-follow-up rate after screening > 1.9%, a DBS-based laboratory HCV-RNA after HCV-Ab POC testing was the single un-dominated strategy, requiring an additional cost of €3653.56 per additional TP detected. Both strategies would require 8-25% of the annual public health expenditure of the study countries for diagnosing 30% of HCV-infected individuals. Assuming a seroprevalence > 46.9% or a cost of POC HCV-RNA < €7.32, a one-step strategy based on POC HCV-RNA dominated the two-step POC-based strategy but resulted in many more false-positive cases.

conclusionsPOC HCV-Ab followed by either POC- or DBS-based HCV-RNA testing would be the most cost-effective strategies in the study countries. Without a substantial increase in funding for health or a dramatic decrease in assay prices, HCV testing would constitute an economic barrier to the implementation of HCV elimination programs in LMICs.

Indexed as

Cost-Benefit AnalysisModels, StatisticalAfrica, CentralAfrica, WesternDecision TreesFeasibility StudiesHepatitis CHumansPoint-of-Care TestingTime Factors

Identifiers

PMID32833976
PMCPMC7446873
OpenAlexW3080342643

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.