Evidence map›Paper›PMID 31601174›Full record

ArticleBMC infectious diseases2019

Rates and predictors of switching to tenofovir alafenamide-containing ART in a nationwide cohort.

Bernard Surial, Matthias Cavassini, Alexandra Calmy, Jan Fehr, Marcel Stöckle, Enos Bernasconi, Bianca Roth, Christoph A Fux, Helen Kovari, Hansjakob Furrer and 3 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-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

1 citing paper in PubMed, 9 citations in OpenAlex.

  1. 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

13 authors at 5 institutions in 1 country.

Bernard SurialDepartment of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.
Matthias CavassiniDivision of Infectious Diseases, University Hospital of Lausanne, University of Lausanne, Lausanne, Switzerland.
Alexandra CalmyDivision of Infectious Diseases, Geneva University Hospital, University of Geneva, Geneva, Switzerland.
Jan FehrDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Marcel StöckleDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Basel, University of Basel, Basel, Switzerland.
Enos BernasconiDivision of Infectious Diseases, Regional Hospital of Lugano, Lugano, Switzerland.
Bianca RothDivision of Infectious Diseases, Cantonal Hospital of St Gallen, St Gallen, Switzerland.
Christoph A FuxDivision of Infectious Diseases, Cantonal Hospital of Aarau, Aarau, Switzerland.
Helen KovariDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Hansjakob FurrerDepartment of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.
Andri RauchDepartment of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland.
Gilles WandelerDepartment of Infectious Diseases, Bern University Hospital, University of Bern, Bern, Switzerland. gilles.wandeler@insel.ch.
Swiss HIV Cohort Study
University of Bern · CHKantonsspital St. Gallen · CHUniversity of Basel · CHUniversity of Geneva · CHUniversity of Zurich · CH

Funding

Swiss National Science Foundation 177499Swiss National Science Foundation (SNF) 177499Swiss National Science Foundation (SNF) PP00P3_176944
6 · The paper itself

Abstract

backgroundTenofovir alafenamide (TAF)-containing combinations were introduced in Switzerland after October 2016 and are recommended over tenofovir disoproxil fumarate (TDF) in patients with osteoporosis or impaired renal function.

methodsWe included all participants of the Swiss HIV Cohort Study on TDF-containing antiretroviral therapy with follow-up visits after January 2016. We determined the proportion of switches from TDF to TAF overall, and among patients with risk factors for TDF toxicity, including osteoporosis, impaired renal function or marked proteinuria. We used multivariable logistic regression to explore predictors of switching from TDF to TAF.

resultsWe included 5'012 patients, of whom 652 (13.0%) had risk factors for TDF toxicity. A switch from TDF to TAF was undertaken in 2'796 (55.8%) individuals overall, and in 465 (71.3%) with risk factors. Predictors of switching to TAF were male sex (adjusted odds ratio 1.27, 95% confidence interval 1.07-1.50), age > 50 years (1.43, 1.23-1.66) and the presence of risk factors for TDF toxicity (2.21, 1.77-2.75). In contrast, patients with a non-nucleoside reverse transcriptase inhibitor (NNRTI)-based single-pill regimen (0.11, 0.09-0.13), those treated in non-tertiary care centers (0.56, 0.46-0.70), as well as those with CD4 cell counts below 500/μL (0.77, 0.66-0.90) and with chronic hepatitis C infection (0.66, 0.54-0.80) were most likely to stay on TDF.

conclusionsOver 50% of patients on TDF-containing therapy, including the majority of patients at risk for TDF toxicity, were switched to TAF within two years of its introduction in Switzerland. Individuals on NNRTI-based single-pill regimens were most likely to remain on TDF.

Indexed as

AdenineAdultAlanineAnti-HIV AgentsCD4 Lymphocyte CountCohort StudiesDrug InteractionsFemaleHepatitis C, ChronicHIV InfectionsHumansMaleMiddle AgedRisk FactorsSwitzerlandTenofovirAdenineAlanineAnti-HIV AgentsTenofovirtenofovir alafenamideAntiretroviral therapySwitchTenofovir alafenamideTenofovir disoproxil fumarateToxicity

Identifiers

PMID31601174
PMCPMC6785894
OpenAlexW2979488321

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.