Evidence map›Paper›PMID 37235291›Full record

ArticleTropical medicine and infectious disease2023

Cohort Profile: A European Multidisciplinary Network for the Fight against HIV Drug Resistance (EuResist Network).

Barbara Rossetti, Francesca Incardona, Giulia Di Teodoro, Chiara Mommo, Francesco Saladini, Rolf Kaiser, Anders Sönnerborg, Thomas Lengauer, Maurizio Zazzi, EuResist Network

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2023. 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
1.9field-weighted citation impact, top 14% 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, 10 citations in OpenAlex.

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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 5 institutions in 3 countries.

Barbara RossettiInfectious Diseases Department, Infectious Diseases Unit, USL SUDEST Toscana, Misericordia Hospital, 58100 Grosseto, Italy.ORCID 0000-0003-1659-9241
Francesca IncardonaEuResist Network, 00152 Rome, Italy.
Giulia Di TeodoroEuResist Network, 00152 Rome, Italy.ORCID 0000-0002-0418-0067
Chiara MommoEuResist Network, 00152 Rome, Italy.
Francesco SaladiniDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-9934-377X
Rolf KaiserInstitute of Virology, University and University Hospital Cologne, University of Cologne, 50923 Cologne, Germany.
Anders SönnerborgDepartment of Medicine Huddinge, Karolinska Institutet, Division of Infectious Diseases, 17177 Stockholm, Sweden.
Thomas LengauerInstitute of Virology, University and University Hospital Cologne, University of Cologne, 50923 Cologne, Germany.ORCID 0000-0003-3801-2640
Maurizio ZazziDepartment of Medical Biotechnologies, University of Siena, 53100 Siena, Italy.ORCID 0000-0002-0344-6281
EuResist Network
European Society of Concurrent Enterprising Network · ITUniversity of Cologne · DEUniversity of Siena · ITKarolinska Institutet · SEOspedale Misericordia - Grosseto · IT

Funding

European Commission Grant n. IST-2004-027173European Commission Health-2007-223131, VII FPHorizon 2020 grant No 825673Horizon Europe grant No 101046016
6 · The paper itself

Abstract

The EuResist cohort was established in 2006 with the purpose of developing a clinical decision-support tool predicting the most effective antiretroviral therapy (ART) for persons living with HIV (PLWH), based on their clinical and virological data. Further to continuous extensive data collection from several European countries, the EuResist cohort later widened its activity to the more general area of antiretroviral treatment resistance with a focus on virus evolution. The EuResist cohort has retrospectively enrolled PLWH, both treatment-naïve and treatment-experienced, under clinical follow-up from 1998, in nine national cohorts across Europe and beyond, and this article is an overview of its achievement. A clinically oriented treatment-response prediction system was released and made available online in 2008. Clinical and virological data have been collected from more than one hundred thousand PLWH, allowing for a number of studies on the response to treatment, selection and spread of resistance-associated mutations and the circulation of viral subtypes. Drawing from its interdisciplinary vocation, EuResist will continue to investigate clinical response to antiretroviral treatment against HIV and monitor the development and circulation of HIV drug resistance in clinical settings, along with the development of novel drugs and the introduction of new treatment strategies. The support of artificial intelligence in these activities is essential.

Indexed as

antiretroviral therapydrug resistanceHIVHIV subtypestreatment-response prediction system

Identifiers

PMID37235291
PMCPMC10222321
OpenAlexW4366829110

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.