Evidence map›Paper›PMID 35976773›Full record

ArticleAntiviral therapy2022

Resistance levels to non-nucleoside reverse transcriptase inhibitors among pregnant women with recent HIV infection in Malawi.

George Bello, Matthew Kagoli, Sikhona Chipeta, Andrew Auld, Joy C-W Chang, Joshua R DeVos, Evelyn Kim, Jonathan Mkungudza, Danielle Payne, Michael Eliya and 12 more

Open access · diamondAbstract read
In one paragraph

Article in Antiviral therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. 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

22 authors at 6 institutions in 3 countries.

George Bello299618Malawi Ministry of Health, Lilongwe, Malawi.ORCID 0000-0003-1257-619X
Matthew Kagoli299618Malawi Ministry of Health, Lilongwe, Malawi.
Sikhona Chipeta299618Malawi Ministry of Health, Lilongwe, Malawi.
Andrew AuldCenters for Disease Control and Prevention Malawi.
Joy C-W Chang1242Centers for Disease Control and Prevention, Atlanta, GA, USA.
Joshua R DeVosCenters for Disease Control and Prevention Malawi.ORCID 0000-0002-3306-1462
Evelyn KimCenters for Disease Control and Prevention Malawi.
Jonathan Mkungudza299618Malawi Ministry of Health, Lilongwe, Malawi.
Danielle PayneCenters for Disease Control and Prevention Malawi.
Michael Eliya299618Malawi Ministry of Health, Lilongwe, Malawi.
Rose Nyirenda299618Malawi Ministry of Health, Lilongwe, Malawi.
Andreas Jahn299618Malawi Ministry of Health, Lilongwe, Malawi.
Taziona Mzumara299618Malawi Ministry of Health, Lilongwe, Malawi.
Bernard Mvula299618Malawi Ministry of Health, Lilongwe, Malawi.
Sufia DadabhaiJohn Hopkins Research Project Malawi, Lilongwe, Malawi.
Ireen Namakhoma305040International Training & Education Centre for Health (I-TECH), Lilongwe, Malawi.
Yusuf Babaye305040International Training & Education Centre for Health (I-TECH), Lilongwe, Malawi.
Amalia Giron3489World Health Organization, Geneva, Switzerland.
Michael R Jordan12261Tufts University School of Medicine, Boston, MA, USA.
Silvia Bertagnolio3489World Health Organization, Geneva, Switzerland.
Gabrielle O'MalleyInternational Training & Education Centre for Health (I-TECH), Seattle, WA, USA.
Nellie Wadonda-KabondoCenters for Disease Control and Prevention Malawi.
Ministry of Health · MWResearch for Equity And Community Health Trust · MWWorld Health Organization · CHCenters for Disease Control and Prevention · USOffice of the National Coordinator for Health Information Technology · USTufts University · US

Funding

Intramural CDC HHS CC999999PEPFAR
6 · The paper itself

Abstract

backgroundInformation on HIV drug resistance (HIVDR) prevalence in people newly diagnosed with HIV is limited. We implemented a cross-sectional study to estimate HIVDR prevalence among pregnant women recently infected with HIV in Malawi.

methodsThe HIVDR study was nested within a routine antenatal clinic (ANC) sentinel surveillance survey. Dried blood spot samples were tested for recent infection using a limiting antigen antibody assay together with HIV viral load testing. HIV-1 protease and reverse transcriptase were sequenced using Sanger sequencing. Drug susceptibility was predicted using Stanford HIVdb algorithm (version 8.9). Weighted analysis was performed in Stata 15.1.

resultsOf the 21,642 pregnant women enrolled in the ANC survey, 8.4% (1826/21,642) tested HIV positive. Of these, 5.0% (92/1826) had recent HIV infection, and 90.2% (83/92) were tested by PCR. The amplification and sequencing success rate was 57.8% (48/83). The prevalence of any HIVDR was 14.6% (5/45) (95% CI: 4.7-36.8%), all of which indicated HIVDR to nonnucleoside reverse transcriptase inhibitors (NNRTIs). HIVDR to nucleoside reverse transcriptase inhibitors was 7.9% (2/45) (95% CI: 1.4-34.6%). Resistance to protease inhibitors currently in use in Malawi was not observed.

conclusionsDespite the low number of cases with presumed TDR, our study hints that resistance to NNRTIs was high, above the 10% target for regimen change. Further investigation is needed to establish the exact magnitude of presumed TDR among women recently infected with HIV. These findings support the transition to an integrase inhibitor-based first-line regimen for patients initiating or on ART.

Indexed as

Anti-HIV AgentsHIV-1HIV InfectionsCross-Sectional StudiesDrug Resistance, ViralFemaleHIV Reverse TranscriptaseHumansMutationPregnancyPregnant PeoplePrevalenceReverse Transcriptase InhibitorsAnti-HIV AgentsHIV Reverse TranscriptaseReverse Transcriptase Inhibitors

Identifiers

PMID35976773
PMCPMC9555317
OpenAlexW4292120631

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.