Evidence map›Paper›PMID 27502557›Full record

ArticleeLife2016

Impact of HIV co-infection on the evolution and transmission of multidrug-resistant tuberculosis.

Vegard Eldholm, Adrien Rieux, Johana Monteserin, Julia Montana Lopez, Domingo Palmero, Beatriz Lopez, Viviana Ritacco, Xavier Didelot, Francois Balloux

Open access · goldAbstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 1 synthesis or guideline pooled it, 69 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Drug Resistance ofJournal of immunology research · 2023
    Article
  13. Molecular source attribution.PLoS computational biology · 2022
    Article
  14. Article
  15. Review
  16. Can miRNA Indicate Risk of Illness after Continuous Exposure toInternational journal of molecular sciences · 2021
    Article
  17. Review
  18. Article
  19. Article
  20. Article
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

9 authors at 5 institutions in 3 countries.

Vegard EldholmDivision of Infectious Disease Control, Norwegian Institute of Public Health, Oslo, Norway.ORCID 0000-0001-6721-3375
Adrien RieuxUCL Genetics Institute, University College London, London, United Kingdom.
Johana MonteserinInstituto Nacional de Enfermedades Infecciosas, ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Julia Montana LopezUCL Genetics Institute, University College London, London, United Kingdom.
Domingo PalmeroDivisión Tisioneumonología, Hospital Muñiz, Buenos Aires, Argentina.
Beatriz LopezInstituto Nacional de Enfermedades Infecciosas, ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Viviana RitaccoInstituto Nacional de Enfermedades Infecciosas, ANLIS Carlos Malbrán, Buenos Aires, Argentina.
Xavier DidelotDepartment of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.ORCID 0000-0003-1885-500X
Francois BallouxUCL Genetics Institute, University College London, London, United Kingdom.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARUniversity College London · GBHospital Muñiz · ARImperial College London · GBNorwegian Institute of Public Health · NO

Funding

Medical Research Council MR/K010174/1Medical Research Council MR/N010760/1
6 · The paper itself

Abstract

The tuberculosis (TB) epidemic is fueled by a parallel Human Immunodeficiency Virus (HIV) epidemic, but it remains unclear to what extent the HIV epidemic has been a driver for drug resistance in Mycobacterium tuberculosis (Mtb). Here we assess the impact of HIV co-infection on the emergence of resistance and transmission of Mtb in the largest outbreak of multidrug-resistant TB in South America to date. By combining Bayesian evolutionary analyses and the reconstruction of transmission networks utilizing a new model optimized for TB, we find that HIV co-infection does not significantly affect the transmissibility or the mutation rate of Mtb within patients and was not associated with increased emergence of resistance within patients. Our results indicate that the HIV epidemic serves as an amplifier of TB outbreaks by providing a reservoir of susceptible hosts, but that HIV co-infection is not a direct driver for the emergence and transmission of resistant strains.

Indexed as

CoinfectionDrug Resistance, Multiple, BacterialAmericasAntitubercular AgentsDisease Transmission, InfectiousHIV InfectionsHumansMutation RateMycobacterium tuberculosisSouth AmericaTuberculosis, Multidrug-ResistantAntitubercular Agentsantimicrobial resistanceepidemiologyevolutionevolutionary biologygenomicsHIVinfectious diseasemicrobiologyMycobacterium tuberculosistransmission reconstruction

Identifiers

PMID27502557
PMCPMC4978521
OpenAlexW2510730104

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.