Evidence map›Paper›PMID 32770955›Full record

ArticleBMC infectious diseases2020

What is needed to achieve HCV microelimination among HIV-infected populations in Andalusia, Spain: a modeling analysis.

Britt Skaathun, Annick Borquez, Antonio Rivero-Juarez, Sanjay R Mehta, Francisco Tellez, Manuel Castaño-Carracedo, Dolores Merino, Rosario Palacios, Juan Macías, Antonio Rivero and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

11 authors at 8 institutions in 3 countries.

Britt SkaathunDivision of Infectious Diseases and Global Public Health, University of California San Diego, 9500 Gilman Drive MC 0507, La Jolla, CA, 92093, USA. bskaathun@health.ucsd.edu.ORCID http://orcid.org/0000-0001-8780-3612
Annick BorquezDivision of Infectious Diseases and Global Public Health, University of California San Diego, 9500 Gilman Drive MC 0507, La Jolla, CA, 92093, USA.
Antonio Rivero-JuarezInfectious Diseases Unit, Instituto Maimonides de Investigaciones Biomedicas de Cordoba (IMIBIC), Hospital Universitario Reina Sofia de Cordoba, Universidad de Cordoba, Cordoba, Spain.
Sanjay R MehtaDivision of Infectious Diseases and Global Public Health, University of California San Diego, 9500 Gilman Drive MC 0507, La Jolla, CA, 92093, USA.
Francisco TellezInfectious Diseases Unit Hospital Universitario de Puerto Real, Instituto de Investigación e Innovación en Ciencias Biomédicas de la Provincia de Cádiz. Universidad de Cádiz, Cádiz, Spain.
Manuel Castaño-CarracedoInfectious Diseases Unit, Hospital Regional Universitario de Málaga, Málaga, Spain.
Dolores MerinoInfectious Diseases Unit. Hospitales Juan Ramón Jiménez e Infanta Elena de Huelva, Huelva, Spain.
Rosario PalaciosInfectious Diseases Unit, Hospital Universitario Virgen de la Victoria. Complejo Hospitalario Provincial de Málaga, Málaga, Spain.
Juan MacíasUnidad de Enfermedades Infecciosas, Hospital Universitario de Valme. Instituto de Biomedicina de Sevilla (iBiS), Sevilla, Spain.
Antonio RiveroInfectious Diseases Unit, Instituto Maimonides de Investigaciones Biomedicas de Cordoba (IMIBIC), Hospital Universitario Reina Sofia de Cordoba, Universidad de Cordoba, Cordoba, Spain.
Natasha K MartinDivision of Infectious Diseases and Global Public Health, University of California San Diego, 9500 Gilman Drive MC 0507, La Jolla, CA, 92093, USA.
University of California San Diego · USInstituto Maimónides de Investigación Biomédica de Córdoba · ESHospital Clínico Universitario Virgen de la Victoria · ESHospital Juan Ramón Jiménez · ESHospital Regional Universitario de Málaga · ESInstituto de Biomedicina de Sevilla · ESUniversidad de Cádiz · ESUniversity of Bristol · GB

Funding

UC San Diego Clinical and Translational Research InstituteUL1TR001442 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FIRESTEIN, GARY S, HOGARTH, MICHAEL · 2015 to 2024
$88.3M
VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUSAN JANET LITTLE · 1994 to 2026
$78.4M
HOPE Training GrantT32AI007384 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Sara Gianella Weibel, Scott L Letendre · 1990 to 2026
$9.7M
Real-time prediction of emerging drug use epidemics in the United StatesDP2DA049295 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BORQUEZ, ANNICK · 2019 to 2019
$2.4M
Modeling Structural HIV Determinants in Substance Users and related populationsR01DA037773 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA, STRATHDEE, STEFFANIE A. · 2015 to 2017
$1.4M
NCATS NIH HHS UL1 TR001442NIAID NIH HHS P30 AI036214NIDA NIH HHS DP2 DA049295NIDA NIH HHS R01 DA037773NIH HHS P30 AI036214
6 · The paper itself

Abstract

backgroundScale-up of hepatitis C virus (HCV) treatment for HIV/HCV coinfected individuals is occurring in Spain, the vast majority (> 85%) with a reported history of injecting drug use and a smaller population of co-infected men who have sex with men (MSM). We assess impact of recent treatment scale-up to people living with HIV (PLWH) and implications for achieving the WHO HCV incidence elimination target (80% reduction 2015-2030) among PLWH and overall in Andalusia, Spain, using dynamic modeling.

methodsA dynamic transmission model of HCV/HIV coinfection was developed. The model was stratified by people who inject drugs (PWID) and MSM. The PWID component included dynamic HCV transmission from the HCV-monoinfected population. The model was calibrated to Andalusia based on published data and the HERACLES cohort (prospective cohort of HIV/HCV coinfected individuals representing > 99% coinfected individuals in care in Andalusia). From HERACLES, we incorporated HCV treatment among diagnosed PLWH of 10.5%/year from 2004 to 2014, and DAAs at 33%/year from 2015 with 94.8% SVR. We project the impact of current and scaled-up HCV treatment for PLWH on HCV prevalence and incidence among PLWH and overall.

resultsCurrent treatment rates among PLWH (scaled-up since 2015) could substantially reduce the number of diagnosed coinfected individuals (mean 76% relative reduction from 2015 to 2030), but have little impact on new diagnosed coinfections (12% relative reduction). However, DAA scale-up to PWLH in 2015 would have minimal future impact on new diagnosed coinfections (mean 9% relative decrease from 2015 to 2030). Similarly, new cases of HCV would only reduce by a mean relative 29% among all PWID and MSM due to ongoing infection/reinfection. Diagnosing/treating all PLWH annually from 2020 would increase the number of new HCV infections among PWLH by 28% and reduce the number of new HCV infections by 39% among the broader population by 2030.

conclusionTargeted scale-up of HCV treatment to PLWH can dramatically reduce prevalence among this group but will likely have little impact on the annual number of newly diagnosed HIV/HCV coinfections. HCV microelimination efforts among PWLH in Andalusia and settings where a large proportion of PLWH have a history of injecting drug use will require scaled-up HCV diagnosis and treatment among PLWH and the broader population at risk.

Indexed as

Models, TheoreticalAntiviral AgentsCohort StudiesCoinfectionHepatitis CHIV InfectionsHomosexuality, MaleHumansMalePrevalenceProspective StudiesSpainSubstance-Related DisordersSustained Virologic ResponseAntiviral AgentsDirect-acting antiviralsHepatitis C virusHIVMicroeliminationPrevention

Identifiers

PMID32770955
PMCPMC7414743
OpenAlexW3048280013

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.