Evidence map›Paper›PMID 26566025›Full record

Observational studyPloS one2015

Factors Associated with Low-Level Viraemia and Virological Failure: Results from the Austrian HIV Cohort Study.

Gisela Leierer, Katharina Grabmeier-Pfistershammer, Andrea Steuer, Maria Geit, Mario Sarcletti, Bernhard Haas, Manfred Kanatschnig, Michaela Rappold, Robert Zangerle, Bruno Ledergerber and 2 more

Abstract readMulticenter StudyObservational Study
In one paragraph

Observational study in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Review
  16. A Lower CD4 Count Predicts Most Causes of Death except Cardiovascular Deaths. The Austrian HIV Cohort Study.International journal of environmental research and public health · 2021
    Article
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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.

Gisela LeiererDepartment of Dermatology and Venereology, Medical University of Innsbruck, Innsbruck, Austria.
Katharina Grabmeier-PfistershammerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Andrea SteuerOtto-Wagner Hospital, Department of Pulmonology, Vienna, Austria.
Maria GeitDepartment of Dermatology, General Hospital Linz, Linz, Austria.
Mario SarclettiDepartment of Dermatology and Venereology, Medical University of Innsbruck, Innsbruck, Austria.
Bernhard HaasDepartment of Internal Medicine, General Hospital Graz-West, Graz, Austria.
Manfred Kanatschnig1st Medical Department, General Hospital Klagenfurt, Klagenfurt, Austria.
Michaela RappoldDepartment of Dermatology and Venereology, Medical University of Innsbruck, Innsbruck, Austria.
Robert ZangerleDepartment of Dermatology and Venereology, Medical University of Innsbruck, Innsbruck, Austria.
Bruno LedergerberDivision of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.
Ninon TaylorDepartment of Internal Medicine III with Hematology, Medical Oncology, Hemostaseology, Infectious Diseases, Rheumatology, Oncologic Center, Laboratory of Immunological and Molecular Cancer Research, Paracelsus Medical University, Salzburg, Austria.
Austrian HIV Cohort Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn human immunodeficiency virus treatment adequate virological suppression is warranted, nevertheless for some patients it remains a challenge. We investigated factors associated with low-level viraemia (LLV) and virological failure (VF) under combined antiretroviral therapy (cART). MATERIALS AND

methodsWe analysed patients receiving standard regimens between 1st July 2012 and 1st July 2013 with at least one viral load (VL) measurement below the quantification limit (BLQ) in their treatment history. After a minimum of 6 months of unmodified cART, the next single VL measurement within 6 months was analysed. VF was defined as HIV RNA levels ≥ 200 copies/mL and all other quantifiable measurements were classified as LLV. Factors associated with LLV and VF compared to BLQ were identified by logistic regression models.

resultsOf 2276 participants, 1972 (86.6%) were BLQ, 222 (9.8%) showed LLV and 82 (3.6%) had VF. A higher risk for LLV and VF was shown in patients with cART interruptions and in patients with boosted PI therapy. The risk for LLV and VF was lower in patients from centres using the Abbott compared to the Roche assay to measure VL. A higher risk for LLV but not for VF was found in patients with a higher VL before cART [for >99.999 copies/mL: aOR (95% CI): 4.19 (2.07-8.49); for 10.000-99.999 copies/mL: aOR (95% CI): 2.52 (1.23-5.19)] and shorter cART duration [for <9 months: aOR (95% CI): 2.59 (1.38-4.86)]. A higher risk for VF but not for LLV was found in younger patients [for <30 years: aOR (95% CI): 2.76 (1.03-7.35); for 30-50 years: aOR (95% CI): 2.70 (1.26-5.79)], people originating from high prevalence countries [aOR (95% CI): 2.20 (1.09-4.42)] and in male injecting drug users [aOR (95% CI): 2.72 (1.38-5.34)].

conclusionsFor both VF and LLV, factors associated with adherence play a prominent role. Furthermore, performance characteristics of the diagnostic assay used for VL quantification should also be taken into consideration.

Indexed as

AdultAnti-HIV AgentsAnti-Retroviral AgentsAustriaFemaleHIV-1HIV InfectionsHumansLogistic ModelsMaleMedication AdherenceMiddle AgedMultivariate AnalysisProspective StudiesRetrospective StudiesRisk FactorsAnti-HIV AgentsAnti-Retroviral AgentsRNA, Viral

Identifiers

PMID26566025
PMCPMC4643888

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.