Evidence map›Paper›PMID 29403064›Full record

ArticleScientific reports2018

Phenotypic co-receptor tropism and Maraviroc sensitivity in HIV-1 subtype C from East Africa.

Abu Bakar Siddik, Alexandra Haas, Md Shanawazur Rahman, Shambhu Ganeshappa Aralaguppe, Wondwossen Amogne, Joelle Bader, Thomas Klimkait, Ujjwal Neogi

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 12 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

8 authors at 4 institutions in 4 countries.

Abu Bakar SiddikDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-0037-7679
Alexandra HaasMolecular Virology, Department of Biomedicine - Petersplatz, University of Basel, Basel, Switzerland.
Md Shanawazur RahmanDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden.
Shambhu Ganeshappa AralaguppeDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden.
Wondwossen AmogneDepartment of Internal Medicine, College of Health Science, Addis Ababa University, Addis Ababa, Ethiopia.
Joelle BaderMolecular Virology, Department of Biomedicine - Petersplatz, University of Basel, Basel, Switzerland.
Thomas KlimkaitMolecular Virology, Department of Biomedicine - Petersplatz, University of Basel, Basel, Switzerland.
Ujjwal NeogiDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Huddinge, Stockholm, Sweden. ujjwal.neogi@ki.se.ORCID http://orcid.org/0000-0002-0844-3338
Karolinska Institutet · SEUniversity of Basel · CHAddis Ababa University · ETScience for Life Laboratory · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genotypic tropism testing (GTT) for co-receptor usage is a recommended tool for clinical practice before administration of the CCR5-antagonist maraviroc. For some isolates, phenotypic tropism testing (PTT) revealed discordant results with GTT. In this study, we performed a comparative study between GTT and PTT in HIV-1C from East Africa (HIV-1C

Indexed as

Viral TropismAfrica, EasternGenotypeGenotyping TechniquesHIV-1HIV Fusion InhibitorsHIV InfectionsHumansMaravirocMicrobial Sensitivity TestsHIV Fusion InhibitorsMaraviroc

Identifiers

PMID29403064
PMCPMC5799384
OpenAlexW2806768040

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.