Evidence map›Paper›PMID 30856186›Full record

ArticlePloS one2019

Role of pretreatment variables on plasma HIV RNA value at the sixth month of antiretroviral therapy including all first line drugs in HIV naïve patients: A path analysis approach.

Carlo Mengoli, Monica Basso, Samantha Andreis, Renzo Scaggiante, Mario Cruciani, Roberto Ferretto, Sandro Panese, Vinicio Manfrin, Daniela Francisci, Elisabetta Schiaroli and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.1field-weighted citation impact, top 56% 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, 2 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

16 authors at 5 institutions in 1 country.

Carlo MengoliDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Monica BassoDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Samantha AndreisDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Renzo ScaggianteDepartment of Molecular Medicine, University of Padova, Padova, Italy.
Mario CrucianiCenter of Diffusive Diseases, ULSS 20, Verona, Italy.
Roberto FerrettoClinical Infectious Diseases, Santorso Hospital, Santorso (VI), Italy.
Sandro PaneseClinical Infectious Diseases, Mestre Hospital, Venezia, Italy.
Vinicio ManfrinClinical Infectious Diseases, Vicenza Hospital, Vicenza, Italy.
Daniela FrancisciClinical Infectious Diseases, University of Perugia, Perugia, Italy.
Elisabetta SchiaroliClinical Infectious Diseases, University of Perugia, Perugia, Italy.
Gaetano MaffongelliClinical Infectious Diseases, Tor Vergata University, Roma, Italy.
Loredana SarmatiClinical Infectious Diseases, Tor Vergata University, Roma, Italy.
Massimo AndreoniClinical Infectious Diseases, Tor Vergata University, Roma, Italy.
Franco BaldelliClinical Infectious Diseases, University of Perugia, Perugia, Italy.
Giorgio Palu'Department of Molecular Medicine, University of Padova, Padova, Italy.
Saverio Giuseppe ParisiDepartment of Molecular Medicine, University of Padova, Padova, Italy.ORCID 0000-0002-8865-5460
University of Padua · ITUniversity of Perugia · ITUniversity of Rome Tor Vergata · ITInternational Renal Research Institute of Vicenza · ITUniversity of Verona · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsWe investigated the conditioning roles of viral tropism and other variables on plasma HIV RNA levels after 6 months of combination antiretroviral therapy (cART) in an HIV-infected Italian naïve population using regression tree, random forest regression, and path analysis (PA). Patients in this multicenter observational study were treated with all antiviral drugs that are currently recommended as first-line therapies.

methodsAdult patients with chronic HIV infection were enrolled at the beginning of first-line cART (T0). The main variables were age, gender, tropism, "lcd4_0" and "lcd4_6" (log10 CD4+counts at T0 and after 6 months of cART, respectively), and "lrna0" (log10 HIV RNA at T0). Regression tree and random forest analyses were applied. The predictive effect on lrna6 (log10-transformed plasma HIV RNA after 6 months of cART) was also investigated via PA (x4->lcd4_0->lrna0->lrna6) with a treatment selection step included as a dependent (mediator) variable for each third drug and, as predictive covariates, age, female, x4_10, x4_5, lcd4_0, and lrna0. Tropism was assessed in plasma using the Geno2pheno algorithm with 2 false positive rate (FPR) cut-offs: 5% (x4_5) and 10% (x4_10).

resultsThe study included 571 subjects (21% x4_10 and 10.7% x4_5). The only important predictor of lrna6 was lrna0, and a positive indirect effect of bearing X4 virus in plasma was suggested. A significant direct positive effect of protease inhibitors on lrna6 was found (p = 0.022), and a significant negative effect of integrase strand transfer inhibitor (INSTI) was also detected (p = 0.003 for FPR ≤ 5% and p = 0.01 for FPR < 10%). PA predicted mean residual viremias of 40 copies/mL without INSTI and 3 copies/mL with INSTI.

conclusionsPA indicated a possible indirect role of HIV tropism on lrna6 with both FPR < 10% and ≤ 5%. Patients treated with INSTI had a predicted residual viremia of 3 copies/mL.

Indexed as

AdultAlgorithmsAnti-Retroviral AgentsCD4 Lymphocyte CountChronic DiseaseFemaleGenotypeHIV-1HIV InfectionsHumansMaleMiddle AgedRegression AnalysisRNA, ViralTreatment OutcomeViral TropismAnti-Retroviral AgentsRNA, Viral

Identifiers

PMID30856186
PMCPMC6411145
OpenAlexW2922440454

What OpenQuestion holds

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LicenceCC BY
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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.