Evidence map›Paper›PMID 21373194›Full record

ArticlePloS one2011

Prevalence of potential drug-drug interactions involving antiretroviral drugs in a large Kenyan cohort.

Gabriel Kigen, Sylvester Kimaiyo, Winstone Nyandiko, Brian Faragher, Edwin Sang, Beatrice Jakait, Andrew Owen, David Back, Sara Gibbons, Kay Seden and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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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

12 authors at 5 institutions in 2 countries.

Gabriel KigenDepartment of Pharmacology and Toxicology, Moi University School of Medicine, Eldoret, Kenya.
Sylvester Kimaiyo
Winstone Nyandiko
Brian Faragher
Edwin Sang
Beatrice Jakait
Andrew Owen
David Back
Sara Gibbons
Kay Seden
Saye H Khoo
USAID-Academic Model for Prevention Treatment of HIV/AIDS
Moi University · KEUniversity of Liverpool · GBRoyal Liverpool University Hospital · GBAMPATH · KELiverpool School of Tropical Medicine · GB

Funding

Medical Research Council G0800247Medical Research Council G0901364
6 · The paper itself

Abstract

backgroundClinically significant drug-drug interactions (CSDIs) involving antiretrovirals are frequent and under-recognized in developed countries, but data are lacking for developing countries. METHODOLOGY AND PRINCIPAL

findingsTo investigate the prevalence of CSDIs between antiretrovirals and coadministered drugs, we surveyed prescriptions dispensed in a large HIV clinic in Kenya. Of 1040 consecutive patients screened, 996 were eligible for inclusion. CSDIs were defined as 'major' (capable of causing severe or permanent damage, contraindicated, avoid or not recommended by the manufacturer, or requiring dose modification) or 'moderate' (manufacturers advise caution, or close monitoring, or capable of causing clinical deterioration). A total of 334 patients (33.5%) were at risk for a CSDI, potentially lowering antiretroviral drug concentrations in 120 (12%) patients. Major interactions most frequently involved rifampicin (12.4%, mostly with efavirenz) and azoles (2.7%) whereas moderate interactions were frequently azoles (13%), steroids (11%), and antimalarials (3%). Multivariable analyses suggested that patients at risk for CSDIs had lower CD4 counts (P = 0.006) and baseline weight (P = 0.023) and WHO Stage 3 or 4 disease (P≤0.007). Risk for CSDIs was not associated with particular regimens, although only 116 (11.6%) patients were receiving WHO second line regimens.

conclusionsOne in three patients receiving antiretrovirals in our programme were at risk of CSDIs. Strategies need to be urgently developed to avoid important drug interactions, to identify early markers of toxicity and to manage unavoidable interactions safely in order to reduce risk of harm, and to maximize the effectiveness of mass antiretroviral deployment in Africa.

Indexed as

AdultAgedAnti-HIV AgentsCohort StudiesDrug CombinationsDrug InteractionsDrug-Related Side Effects and Adverse ReactionsFemaleHIV InfectionsHumansKenyaMaleMiddle AgedPolypharmacyPrevalenceSample SizeAnti-HIV AgentsDrug Combinations

Identifiers

PMID21373194
PMCPMC3044141
OpenAlexW2052252723

What OpenQuestion holds

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LicenceCC BY
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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.