Evidence map›Paper›PMID 30574301›Full record

ArticleSAGE open medicine2018

HIV virologic response better with single-tablet once daily regimens compared to multiple-tablet daily regimens.

Shashi N Kapadia, Robert R Grant, Susan B German, Baljinder Singh, Amy L Davidow, Shobha Swaminathan, Sally Hodder

Abstract read
In one paragraph

Article in SAGE open medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Trial
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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

7 authors.

Shashi N KapadiaDivision of Infectious Diseases, Weill Cornell Medicine, New York, NY, USA.ORCID https://orcid.org/0000-0001-6363-2839
Robert R GrantRutgers New Jersey Medical School, Newark, NJ, USA.
Susan B GermanRutgers Cancer Institute of New Jersey, New Brunswick, NJ, USA.
Baljinder SinghRutgers New Jersey Medical School, Newark, NJ, USA.
Amy L DavidowDepartment of Biostatistics, Rutgers School of Public Health, Newark, NJ, USA.
Shobha SwaminathanDivision of Infectious Diseases, Rutgers New Jersey Medical School, Newark, NJ, USA.
Sally HodderWest Virginia Clinical and Translational Science Institute, West Virginia University, Morgantown, WV, USA.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundSingle-tablet regimens are preferred prescription choices for HIV treatment, but there are limited outcomes data comparing single-tablet regimens to multiple-tablet regimens.

methodsWe retrospectively assessed treatment-naïve patients at a single urban HIV clinic in the United States for viral load suppression at 6 and 12 months after initiating either single-tablet or multiple-tablet regimens. Multivariate regression was performed to obtain relative risks and adjust for potential confounders.

resultsOf 218 patients, 47% were on single-tablet regimens and 53% on multiple-tablet regimens; 77% of single-tablet regimen patients had undetectable viral load at 6 months compared to 61% of multiple-tablet regimen patients (p = 0.012). At 12 months, 82% on single-tablet regimens and 66% on multiple-tablet regimens (p = 0.019) had undetectable viral load. Relative risk of any detectable viral load was 1.6 (95% confidence interval: 1.1-2.5) for patients on multiple-tablet regimens compared to single-tablet regimens at 6 months, and 2.2 (95% confidence interval: 1.2-4.0) at 12 months.

conclusionSingle-tablet regimens may provide better virologic control than multiple-tablet regimens in urban HIV-infected persons.

Indexed as

antiretroviral therapyfixed-dosed combinationsHIVsexually transmitted infectionssingle-tablet regimens

Identifiers

PMID30574301
PMCPMC6295695

What OpenQuestion holds

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Registered trials

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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.