Evidence map›Paper›PMID 26319052›Full record

ArticleCurrent infectious disease reports2015

Antiretroviral Treatment and Resistance Patterns in HIV-Infected Children.

Olatunji Adetokunboh, Oluyemi Atibioke, Tolulope Balogun, Mojisola Oluwasanu

Abstract read
PubMed Publisher
In one paragraph

Article in Current infectious disease reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Resistance is common in paediatric patients failing ART in South Africa.The Journal of antimicrobial chemotherapy · 2023
    Article
  2. 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

4 authors at 4 institutions in 2 countries.

Olatunji AdetokunbohSouth to South Programme for Comprehensive Family HIV Care and Treatment, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa, olatunji@sun.ac.za.
Oluyemi Atibioke
Tolulope Balogun
Mojisola Oluwasanu
Society for Family Health Nigeria · NGUniversity of Cape Town · ZAUniversity of Ibadan · NGWestern Cape Department of Health · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paediatric HIV-infected patients have higher risk of developing resistance to antiretroviral drugs, and from public health perspective, drug resistance remains a limiting factor for effective management of HIV infection in children. We reviewed the current evidences available on the antiretroviral treatment and resistance patterns in HIV-infected children. Prevalence of HIV drug resistance varied among the three main classes of antiretroviral drugs, namely nucleoside reverse transcriptase inhibitors, non-nucleoside reverse transcriptase inhibitors and protease inhibitors in both treatment naïve and treatment-experienced children in different countries. Most of the patients with extensive triple-class drug-resistant mutations were found to be considerably exposed to the three main classes of antiretroviral agents. Identification of genetic factors linked with susceptibility to perinatal transmission of HIV may be key in understanding the development of resistance due to waning antiviral effectiveness. Children who were less likely to achieve viral re-suppression were more likely to have resistance mutations. Newer drugs such as etravirine can be used as alternatives in case of resistance to efavirenz while newly developed diagnostic method such as next-generation sequencing is a platform for improving quality of detections especially minor variant drug resistance mutations.

Identifiers

PMID26319052
OpenAlexW1276254484

What OpenQuestion holds

Textmetadata
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.