Evidence map›Paper›PMID 21825300›Full record

ArticleAntimicrobial agents and chemotherapy2011

Comparison of drug resistance scores for tipranavir in protease inhibitor-naive patients infected with HIV-1 B and non-B subtypes.

Martin Stürmer, Christoph Stephan, Peter Gute, Gaby Knecht, Markus Bickel, Hans-Reinhard Brodt, Hans W Doerr, Lutz Gürtler, Pierre Lecocq, Margriet van Houtte

Open access · greenAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2011. 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
0.3field-weighted citation impact, top 40% 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, 6 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

10 authors at 2 institutions in 2 countries.

Martin StürmerJohann Wolfgang Goethe-University Hospital, Institute for Medical Virology, Frankfurt, Germany. M.Stuermer@em.uni-frankfurt.de
Christoph Stephan
Peter Gute
Gaby Knecht
Markus Bickel
Hans-Reinhard Brodt
Hans W Doerr
Lutz Gürtler
Pierre Lecocq
Margriet van Houtte
Goethe University Frankfurt · DEAZ Turnhout · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotypes of samples from protease inhibitor-naïve patients in Frankfurt's HIV Cohort were analyzed with five tipranavir resistance prediction algorithms. Mean scores were higher in non-B than in B subtypes. The proportion of non-B subtypes increased with increasing scores, except in weighted algorithms. Virtual and in vitro phenotype analyses of samples with increased scores showed no reduced tipranavir susceptibility. Current algorithms appear suboptimal for interpretation of resistance to tipranavir in non-B subtypes; increased scores might reflect algorithm bias rather than "natural resistance."

Indexed as

Anti-HIV AgentsDrug Resistance, ViralGenotypeHIV InfectionsHIV Protease InhibitorsHumansMutationPyridinesPyronesSulfonamidesAnti-HIV AgentsHIV Protease InhibitorsPyridinesPyronesSulfonamidestipranavir

Identifiers

PMID21825300
PMCPMC3195027
OpenAlexW2131862226

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.