Evidence map›Paper›PMID 25711326›Full record

Trial reportHIV medicine2015

Global HIV-1 transmitted drug resistance in the INSIGHT Strategic Timing of AntiRetroviral Treatment (START) trial.

J D Baxter, D Dunn, E White, S Sharma, A M Geretti, M J Kozal, M A Johnson, S Jacoby, J M Llibre, J Lundgren and 1 more

Open access · greenAbstract readRandomized Controlled Trial
In one paragraph

Trial report in HIV medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Guideline
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. An Update on Antiretroviral Therapy.Advances in experimental medicine and biology · 2021
    Article
  10. Article
  11. Article
  12. Article
  13. Human Immunodeficiency Virus Drug Resistance: 2018 Recommendations of the International Antiviral Society-USA Panel.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2019
    Article
  14. Article
  15. Article
  16. Article
  17. National molecular surveillance of recently acquired HIV infections in Germany, 2013 to 2014.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017
    Article
  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

11 authors at 9 institutions in 5 countries.

J D BaxterCooper University Hospital/Cooper Medical School of Rowan University, Camden, NJ, USA.
D Dunn
E White
S Sharma
A M Geretti
M J Kozal
M A Johnson
S Jacoby
J M Llibre
J Lundgren
International Network for Strategic Initiatives in Global HIV Trials (INSIGHT) START Study Group
Medical Research Council · GBCooper University Hospital · USRed de Investigación en Sida · ESRigshospitalet · DKThe Royal Free Hospital · GBUniversity of Liverpool · GBUniversity of Minnesota · USUNSW Sydney · AUYale University · US

Funding

International Network for Strategic Initiatives in Global HIV Trials (INSIGHT)UM1AI068641 · NIAID · UNIVERSITY OF MINNESOTA · PI NEATON, JAMES DENNIS · 2011 to 2014
$83.5M
International Network for Strategic Initiatives in Global HIV Trials (INSIGHT): STARTUM1AI120197 · NIAID · UNIVERSITY OF MINNESOTA · PI NEATON, JAMES DENNIS · 2015 to 2017
$65.1M
Medical Research Council MC_UU_12023/15Medical Research Council MC_UU_12023/23NIAID NIH HHS UM1 AI068641NIAID NIH HHS UM1-AI068641NIAID NIH HHS UM1 AI120197
6 · The paper itself

Abstract

objectivesHIV-1 transmitted drug resistance (TDR) in treatment-naïve individuals is a well-described phenomenon. Baseline genotypic resistance testing is considered standard of care in most developed areas of the world. The aim of this analysis was to characterize HIV-1 TDR and the use of resistance testing in START trial participants.

methodsIn the Strategic Timing of AntiRetroviral Treatment (START) trial, baseline genotypic resistance testing results were collected at study entry and analysed centrally to determine the prevalence of TDR in the study population. Resistance was based on a modified 2009 World Health Organization definition to reflect newer resistance mutations.

resultsBaseline resistance testing was available in 1946 study participants. Higher rates of testing occurred in Europe (86.7%), the USA (81.3%) and Australia (89.9%) as compared with Asia (22.2%), South America (1.8%) and Africa (0.1%). The overall prevalence of TDR was 10.1%, more commonly to nonnucleoside reverse transcriptase inhibitors (4.5%) and nucleoside reverse transcriptase inhibitors (4%) compared with protease inhibitors (2.8%). The most frequent TDR mutations observed were M41L, D67N/G/E, T215F/Y/I/S/C/D/E/V/N, 219Q/E/N/R, K103N/S, and G190A/S/E in reverse transcriptase, and M46I/L and L90M in protease. By country, the prevalence of TDR was highest in Australia (17.5%), France (16.7%), the USA (12.6%) and Spain (12.6%). No participant characteristics were identified as predictors of the presence of TDR.

conclusionsSTART participants enrolled in resource-rich areas of the world were more likely to have baseline resistance testing. In Europe, the USA and Australia, TDR prevalence rates varied by country.

Indexed as

Disease Transmission, InfectiousDrug Resistance, ViralAdolescentAdultAgedFemaleGenotypeGenotyping TechniquesHIV-1HIV InfectionsHumansMaleMicrobial Sensitivity TestsMiddle AgedYoung Adultantiretroviral therapydrug resistanceHIV

Identifiers

PMID25711326
PMCPMC4341921
OpenAlexW1867188112

What OpenQuestion holds

Textmetadata
LicenceTDM
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.