Evidence map›Paper›PMID 30817798›Full record

ArticlePloS one2019

Emergence of antibiotic resistance in immunocompromised host populations: A case study of emerging antibiotic resistant tuberculosis in AIDS patients.

Ashley A DeNegre, Martial L Ndeffo Mbah, Kellen Myers, Nina H Fefferman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 45 citations in OpenAlex.

  1. Persistent CD4Frontiers in immunology · 2026
    Article
  2. Article
  3. Carbapenem or new β-lactam-β-lactamase inhibitors? An Italian survey supported by SITA, SIMIT and SIAARTI to identify the factors affecting empiric antimicrobial therapy choice in real-life clinical practice.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  4. Article
  5. Trends and Progress on Antibiotic-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2023
    Review
  6. Review
  7. Antimicrobial resistance: new insights and therapeutic implications.Applied microbiology and biotechnology · 2022
    Review
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  9. Review
  10. Review
  11. Article
  12. Article
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  15. Dermatological Disorders following Liver Transplantation: An Update.Canadian journal of gastroenterology & hepatology · 2019
    Review
  16. Immune exhaustion in bacterial infections: mechanisms, consequences, and therapeutic implications.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

4 authors at 2 institutions in 1 country.

Ashley A DeNegreCommand, Control, and Interoperability Center for Advanced Data Analysis, Rutgers University, New Brunswick, New Jersey, United States of America.
Martial L Ndeffo MbahYale School of Public Health, New Haven, Connecticut, United States of America.
Kellen MyersDepartment of Ecology & Evolutionary Biology, University of Tennessee, Knoxville, Tennessee, United States of America.
Nina H FeffermanCommand, Control, and Interoperability Center for Advanced Data Analysis, Rutgers University, New Brunswick, New Jersey, United States of America.ORCID 0000-0003-0233-1404
Rutgers, The State University of New Jersey · USUniversity of Tennessee at Knoxville · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe evolution of antibiotic resistance is far outpacing the development of new antibiotics, causing global public health concern about infections that will increasingly be unresponsive to antimicrobials. This risk of emerging antibiotic resistance may be meaningfully altered in highly AIDS-immunocompromised populations. Such populations fundamentally alter the bacterial evolutionary landscape in two ways, which we seek to model and analyze. First, widespread, population-level immunoincompetence creates a novel host environment with disrupted selective pressures. Second, within AIDS-prevalent populations, the recommendation that antibiotics be taken to treat and prevent opportunistic infection raises the risk of selection for drug-resistant pathogens.

designTo determine the impact of HIV/AIDS on the emergence of antibiotic resistance-specifically in the developing world where high prevalence and economic challenges complicate disease management.

methodsWe present an SEIR epidemiological model of bacterial infection, and parametrize it to capture HIV/AIDS-attributable emergence of resistance under conditions of both high and low HIV/AIDS prevalence.

resultsWe demonstrate that HIV/AIDS-immunocompromised hosts can be responsible for a disproportionately greater contribution to emergence of resistance than would be expected based on population-wide HIV/AIDS prevalence alone.

conclusionsAs such, the AIDS-immunocompromised have the potential become wellsprings of novel, resistant, opportunistic pathogen strains that can propagate into the broader global community. We discuss how public health policies for HIV/AIDS management can shape the evolutionary environment for opportunistic bacterial infections.

Indexed as

Acquired Immunodeficiency SyndromeAIDS-Related Opportunistic InfectionsAntitubercular AgentsDrug Resistance, BacterialHumansImmunocompromised HostModels, BiologicalPrevalencePublic Health PracticeRisk FactorsTuberculosis, Multidrug-ResistantAntitubercular Agents

Identifiers

PMID30817798
PMCPMC6394933
OpenAlexW2919532984

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.