Evidence map›Paper›PMID 28298195›Full record

Observational studyBMC infectious diseases2017

Role of systemic inflammation scores for prediction of clinical outcomes in patients treated with atazanavir not boosted by ritonavir in the Italian MASTER cohort.

Maria Concetta Postorino, Mattia Prosperi, Emanuele Focà, Eugenia Quiros-Roldan, Elisa Di Filippo, Franco Maggiolo, Alberto Borghetti, Nicoletta Ladisa, Massimo Di Pietro, Andrea Gori and 4 more

Open access · goldAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 97% 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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

14 authors at 10 institutions in 2 countries.

Maria Concetta PostorinoInfectious and Tropical Diseases Unit, Department of Medical and Surgical Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy.
Mattia ProsperiDepartment of Epidemiology, College of Public Health and Health Professions & College of Medicine, University of Florida, Gainesville, USA.
Emanuele FocàUniversity Department of Infectious and Tropical Diseases, University of Brescia and Spedali Civili General Hospital, Brescia, Italy.
Eugenia Quiros-RoldanUniversity Department of Infectious and Tropical Diseases, University of Brescia and Spedali Civili General Hospital, Brescia, Italy.
Elisa Di FilippoClinic of Infectious Diseases of "Papa Giovanni XXIII" Hospital of Bergamo, Bergamo, Italy.
Franco MaggioloClinic of Infectious Diseases of "Papa Giovanni XXIII" Hospital of Bergamo, Bergamo, Italy.
Alberto BorghettiInstitute of Clinical Infectious Diseases of Catholic University of Sacred Heart, Rome, Italy.
Nicoletta LadisaClinic of Infectious Diseases, University of Bari, Bari, Italy.
Massimo Di PietroClinic of Infectious Diseases of "Azienda Ospedaliera S.M. Annunziata", Florence, Italy.
Andrea GoriClinic of Infectious Diseases, San Gerardo de' Tintori Hospital, Monza, Italy.
Laura SighinolfiClinic of Infectious Diseases of "Azienda Ospedaliera S. Anna" of Ferrara, Ferrara, Italy.
Angelo PanClinic of Infectious Diseases of "Istituti Ospitalieri" of Cremona, Cremona, Italy.
Nicola MazziniMISI Foundation, Brescia, Italy.
Carlo TortiInfectious and Tropical Diseases Unit, Department of Medical and Surgical Sciences, University "Magna Graecia" of Catanzaro, Catanzaro, Italy. torti@unicz.it.
Magna Graecia University · ITOspedale Papa Giovanni XXIII · ITUniversity of Brescia · ITArcispedale Sant'Anna · ITAzienda Ospedaliera San Gerardo · ITInstitute for Scientific Interchange · ITIstituti Ospitalieri di Cremona · ITUniversità Cattolica del Sacro Cuore · ITUniversity of Bari Aldo Moro · ITUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtazanavir (ATV) not boosted by ritonavir (uATV) has been frequently used in the past for switching combination antiretroviral therapy (cART). However, the clinical outcomes and predictors of such strategy are unknown.

methodsAn observational study was carried out on the Italian MASTER, selecting HIV infected patients on cART switching to an uATV-containing regimen. Baseline was set as the last visit before uATV initiation. In the primary analysis, a composite clinical end-point was defined as the first occurring of any condition among: liver, cardiovascular, kidney, diabetes, non AIDS related cancer or death events. Incidence of AIDS events and incidence of composite clinical end-point were estimated. Kaplan-Meier and multivariable Cox regression analysis were used to assess predictors of the composite clinical end-point.

results436 patients were observed. The majority of patients were males (61.5%) and Italians (85.3%), mean age was 42.7 years (IQR: 37.7-42), the most frequent route of transmission was heterosexual intercourse (47%), followed by injection drug use (25%) and homosexual contact (24%); the rate of HCV-Ab positivity was 16.3%. Patients were observed for a median time of 882 days (IQR: 252-1,769) under uATV. We recorded 93 clinical events (3 cardiovascular events, 20 kidney diseases, 33 liver diseases, 9 non AIDS related cancers, 21 diabetes, 7 AIDS events), and 19 deaths, accounting for an incidence of 3.7 (composite) events per 100 PYFU. At multivariable analysis, factors associated with the composite clinical end-point were intravenous drug use as risk factor for HIV acquisition vs. heterosexual intercourses [HR: 2.608, 95% CI 1.31-5.19, p = 0.0063], HIV RNA per Log

conclusionsIntravenous drug users with high HIV RNA, high Fib-4 levels and more heavily exposed to antiretroviral drugs appeared to be more at risk of clinical events. Interestingly, high levels of inflammation measured through NLR, were also associated with clinical events. So, these patients should be monitored more strictly.

Indexed as

AdultAnti-HIV AgentsAtazanavir SulfateCardiovascular DiseasesCD4 Lymphocyte CountDisease ProgressionFemaleHIV InfectionsHumansIncidenceInflammationItalyKaplan-Meier EstimateKidney DiseasesLiver DiseasesLongitudinal StudiesAnti-HIV AgentsAtazanavir SulfateAtazanavirClinical eventsHIVRitonavirSystemic inflammation scores

Identifiers

PMID28298195
PMCPMC5353877
OpenAlexW2600555118

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.