Evidence map›Paper›PMID 29249202›Full record

ArticleBMC medicine2017

Modeling HIV-HCV coinfection epidemiology in the direct-acting antiviral era: the road to elimination.

Victor Virlogeux, Fabien Zoulim, Pascal Pugliese, Isabelle Poizot-Martin, Marc-Antoine Valantin, Lise Cuzin, Jacques Reynes, Eric Billaud, Thomas Huleux, Firouze Bani-Sadr and 10 more

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.0field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  4. Barriers and Facilitators of Hepatitis C Care in Persons Coinfected with Human Immunodeficiency Virus.International journal of environmental research and public health · 2022
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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

20 authors at 9 institutions in 3 countries.

Victor VirlogeuxDepartment of Hepatology, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France.ORCID 0000-0002-6282-0755
Fabien ZoulimDepartment of Hepatology, Croix-Rousse Hospital, Hospices Civils de Lyon, Lyon, France.
Pascal PuglieseDepartment of Infectious Diseases, Centre Hospitalier Universitaire de Nice, Hôpital l'Archet, Nice, France.
Isabelle Poizot-MartinAix-Marseille University, APHM Hôpital Sainte-Marguerite, Service d'Immuno-hématologie clinique, INSERM U912 (SESSTIM), 13009, Marseille, France.
Marc-Antoine ValantinDepartment of Infectious Diseases, Assistance Publique - Hôpitaux de Paris, Pitié-Salpêtrière Hospital, Paris, France.
Lise CuzinCHU Toulouse, COREVIH Toulouse, Toulouse, France.
Jacques ReynesDepartment of Infectious Diseases, UMI 233 INSERM U1175, CHU de Montpellier, Montpellier, France.
Eric BillaudDepartment of Infectious Diseases, Hotel-Dieu Hospital, Nantes, France.
Thomas HuleuxDepartment of Infectious Diseases and Travel Diseases, Centre Hospitalier Gustave-Dron, Tourcoing, France.
Firouze Bani-SadrDepartment of Internal Medicine, Infectious Diseases and Clinical Immunology, Hôpital Robert Debré, CHU Reims, Reims, France.
David ReyHIV Infection Care Centre, Hôpitaux Universitaires, Strasbourg, France.
Anne FrésardDepartment of Infectious Diseases, CHU Saint-Etienne, Saint-Priest-en-Jarez, France.
Christine JacometDepartment of Infectious Diseases, CHU Clermont-Ferrand, Clermont-Ferrand, France.
Claudine DuvivierDepartment of Infectious Diseases, Centre d'Infectiologie Necker-Pasteur, IHU Imagine, Assistance Publique - Hôpitaux de Paris, Hôpital Necker-Enfants Malades, Paris, France.
Antoine CheretUniversité Paris Descartes, Sorbonne Paris Cité, EA7327, Paris, France.
Laurent Hustache-MathieuDepartment of Infectious Diseases, CHRU de Besançon, Besançon, France.
Bruno HoenFaculté de Médecine Hyacinthe Bastaraud, Université des Antilles, and Service de Maladies Infectieuses et Tropicales, Dermatologie et Médecine Interne, and INSERM CIC 1424, Centre Hospitalier Universitaire de Pointe-à-Pitre, Pointe-à-Pitre, France.
André CabiéDepartment of Infectious Diseases, CHU de Martinique, Fort-de-France, France.
Laurent CotteUniversité Claude Bernard Lyon 1, INSERM 1052, CNRS 5286, Centre Léon Bérard, Centre de Recherche en Cancérologie de Lyon, F-69008, Lyon, France. laurent.cotte@chu-lyon.fr.
Dat’AIDS Study Group
Inserm · FRUniversité Claude Bernard Lyon 1 · FRCentre Hospitalier Universitaire de Reims · FRDélégation Paris 5 · FRInstitute Cancer De La Loire Lucien Neuwirth · FRCentre Hospitalier de Tourcoing · FRHôpital de la Croix-Rousse · FRHôpital Necker-Enfants Malades · FRUniversité Toulouse III - Paul Sabatier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHCV treatment uptake has drastically increased in HIV-HCV coinfected patients in France since direct-acting antiviral (DAA) treatment approval, resulting in HCV cure in 63% of all HIV-HCV patients by the end of 2015. We investigated the impact of scaling-up DAA on HCV prevalence in the whole HIV population and in various risk groups over the next 10 years in France using a transmission dynamic compartmental model.

methodsThe model was based on epidemiological data from the French Dat'AIDS cohort. Eight risk groups were considered, including high-risk (HR) and low-risk (LR) men who have sex with men (MSM) and male/female heterosexuals, intra-venous drug users, or patients from other risk groups. The model was calibrated on prevalence and incidence data observed in the cohort between 2012 and 2015.

resultsOn January 1, 2016, 156,811 patients were registered as infected with HIV in France (24,900 undiagnosed patients) of whom 7938 (5.1%) had detectable HCV-RNA (722 undiagnosed patients). Assuming a treatment coverage (TC) rate of 30%/year (i.e., the observed rate in 2015), model projections showed that HCV prevalence among HIV patients is expected to drop to 0.81% in 2026. Sub-analyses showed a similar decrease of HIV-HCV prevalence in most risk groups, including LR MSM. Due to higher infection and reinfection rates, predicted prevalence in HR MSM remained stable from 6.96% in 2016 to 6.34% in 2026. Increasing annual TC rate in HR MSM to 50/70% would decrease HCV prevalence in this group to 2.35/1.25% in 2026. With a 30% TC rate, undiagnosed patients would account for 34% of HCV infections in 2026.

conclusionsOur model suggests that DAA could nearly eliminate coinfection in France within 10 years for most risk groups, including LR MSM. Elimination in HR MSM will require increased TC.

Indexed as

Anti-HIV AgentsAntiviral AgentsCohort StudiesCoinfectionEpidemiologic MethodsFemaleFranceHepatitis CHIV InfectionsHumansImmunotherapy, AdoptiveIncidenceMaleModels, BiologicalModels, StatisticalPrevalenceAnti-HIV AgentsAntiviral AgentsCoinfectionCompartmental modelDirect-acting antiviral agentHCVHCV eliminationHIVMathematical modelingTreatment uptake

Identifiers

PMID29249202
PMCPMC5733872
OpenAlexW2772328719

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.