Evidence map›Paper›PMID 31819984›Full record

ArticleThe Journal of antimicrobial chemotherapy2020

Pretreatment HIV drug resistance spread within transmission clusters in Mexico City.

Margarita Matías-Florentino, Antoine Chaillon, Santiago Ávila-Ríos, Sanjay R Mehta, Héctor E Paz-Juárez, Manuel A Becerril-Rodríguez, Silvia J Del Arenal-Sánchez, Alicia Piñeirúa-Menéndez, Verónica Ruiz, Patricia Iracheta-Hernández and 5 more

Abstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

15 authors.

Margarita Matías-FlorentinoCentre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080 Mexico City, Mexico.
Antoine ChaillonUniversity of California San Diego, 9500 Gilman Drive 0679, La Jolla, CA 92093, USA.
Santiago Ávila-RíosCentre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080 Mexico City, Mexico.
Sanjay R MehtaUniversity of California San Diego, 9500 Gilman Drive 0679, La Jolla, CA 92093, USA.
Héctor E Paz-JuárezCentre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080 Mexico City, Mexico.
Manuel A Becerril-RodríguezCentre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080 Mexico City, Mexico.
Silvia J Del Arenal-SánchezCentre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080 Mexico City, Mexico.
Alicia Piñeirúa-MenéndezClínica Especializada Condesa Iztapalapa, Av. Combate de Celaya S/N, Colonia Unidad Habitacional Vicente Guerrero, CP 09730 Mexico City, Mexico.
Verónica RuizClínica Especializada Condesa, Gral, Benjamín Hill 24, Hipódromo Condesa, CP 06170 Mexico City, Mexico.
Patricia Iracheta-HernándezClínica Especializada Condesa Iztapalapa, Av. Combate de Celaya S/N, Colonia Unidad Habitacional Vicente Guerrero, CP 09730 Mexico City, Mexico.
Israel Macías-GonzálezClínica Especializada Condesa, Gral, Benjamín Hill 24, Hipódromo Condesa, CP 06170 Mexico City, Mexico.
Jehovani Tena-SánchezClínica Especializada Condesa, Gral, Benjamín Hill 24, Hipódromo Condesa, CP 06170 Mexico City, Mexico.
Florentino Badial-HernándezClínica Especializada Condesa Iztapalapa, Av. Combate de Celaya S/N, Colonia Unidad Habitacional Vicente Guerrero, CP 09730 Mexico City, Mexico.
Andrea González-RodríguezClínica Especializada Condesa, Gral, Benjamín Hill 24, Hipódromo Condesa, CP 06170 Mexico City, Mexico.
Gustavo Reyes-TeránCentre for Research in Infectious Diseases, National Institute of Respiratory Diseases, Calzada de Tlalpan 4502, Colonia Sección XVI, CP 14080 Mexico City, Mexico.

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 Maile Ann Young Karris · 1994 to 2026
$78.4M
The Prostate as a Reservoir for Residual ReplicationR21AI131971 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHAILLON, ANTOINE · 2018 to 2019
$432k
NCATS NIH HHS UL1 TR001442NIAID NIH HHS P30 AI036214NIAID NIH HHS R21 AI131971
6 · The paper itself

Abstract

backgroundPretreatment HIV drug resistance (HIVDR) to NNRTIs has consistently increased in Mexico City during the last decade.

objectivesTo infer the HIV genetic transmission network in Mexico City to describe the dynamics of the local HIV epidemic and spread of HIVDR. PATIENTS AND

methodsHIV pol sequences were obtained by next-generation sequencing from 2447 individuals before initiation of ART at the largest HIV clinic in Mexico City (April 2016 to June 2018). Pretreatment HIVDR was estimated using the Stanford algorithm at a Sanger-like threshold (≥20%). Genetic networks were inferred with HIV-TRACE, establishing putative transmission links with genetic distances <1.5%. We examined demographic associations among linked individuals with shared drug resistance mutations (DRMs) using a ≥ 2% threshold to include low-frequency variants.

resultsPretreatment HIVDR reached 14.8% (95% CI 13.4%-16.2%) in the cohort overall and 9.6% (8.5%-10.8%) to NNRTIs. Putative links with at least one other sequence were found for 963/2447 (39%) sequences, forming 326 clusters (2-20 individuals). The inferred network was assortative by age and municipality (P < 0.001). Clustering individuals were younger [adjusted OR (aOR) per year = 0.96, 95% CI 0.95-0.97, P < 0.001] and less likely to include women (aOR = 0.46, 95% CI 0.28-0.75, P = 0.002). Among clustering individuals, 175/963 (18%) shared DRMs (involving 66 clusters), of which 66/175 (38%) shared K103N/S (24 clusters). Eight municipalities (out of 75) harboured 65% of persons sharing DRMs. Among all persons sharing DRMs, those sharing K103N were younger (aOR = 0.93, 95% CI 0.88-0.98, P = 0.003).

conclusionsOur analyses suggest age- and geographically associated transmission of DRMs within the HIV genetic network in Mexico City, warranting continuous monitoring and focused interventions.

Indexed as

Anti-HIV AgentsHIV-1HIV InfectionsCitiesDrug Resistance, ViralFemaleGene Regulatory NetworksHumansMexicoMutationAnti-HIV Agents

Identifiers

PMID31819984
PMCPMC7021100

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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.