Evidence map›Paper›PMID 28166729›Full record

ArticleBMC infectious diseases2017

Is it still worthwhile to perform quarterly cd4+ t lymphocyte cell counts on hiv-1 infected stable patients?

Antonio Di Biagio, Marta Ameri, Davide Sirello, Giovanni Cenderello, Enrico Di Bella, Lucia Taramasso, Barbara Giannini, Mauro Giacomini, Claudio Viscoli, Giovanni Cassola and 1 more

Abstract read
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Article 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

  1. 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

11 authors.

Antonio Di BiagioInfectious Disease Clinic, IRCCS San Martino - IST Hospital, Genoa, Italy.
Marta AmeriDepartment of Economics, University of Genoa, Via Vivaldi 5, 16126, Genoa, Italy. marta.ameri@unige.it.
Davide SirelloInfectious Disease Clinic, IRCCS San Martino - IST Hospital, Genoa, Italy.
Giovanni CenderelloInfectious Diseases Unit, EO Galliera, Genoa, Italy.
Enrico Di BellaDepartment of Economics, University of Genoa, Via Vivaldi 5, 16126, Genoa, Italy.
Lucia TaramassoInfectious Disease Clinic, IRCCS San Martino - IST Hospital, Genoa, Italy.
Barbara GianniniDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy.
Mauro GiacominiDepartment of Informatics, Bioengineering, Robotics and System Engineering, University of Genoa, Genoa, Italy.
Claudio ViscoliInfectious Disease Clinic, IRCCS San Martino - IST Hospital, Genoa, Italy.
Giovanni CassolaInfectious Diseases Unit, EO Galliera, Genoa, Italy.
Marcello MontefioriDepartment of Economics, University of Genoa, Via Vivaldi 5, 16126, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the last 20 years routine T CD4+ lymphocyte (CD4+) cell count has proved to be a key factor to determine the stage of HIV infection and start or discontinue of prophylaxis for opportunistic infections. However, several studies recently showed that in stable patients on cART a quarterly CD4+ cell count monitoring results in limited (or null) clinical relevance. The research is intended to investigate whether performing quarterly CD4+ cell counts in stable HIV-1 patients is still recommendable and to provide a forecast of the cost saving that could be achieved by reducing CD4+ monitoring in such a category of patients.

methodsThe study is based on data referring to all HIV-infected patients > 18 years of age being treated at two large infectious diseases units located in the metropolitan area of Genoa, Italy. The probability of CD4+ cell counts dropping below a threshold value set at 350 cells/mm

resultsStatistical analysis reveals that among stable patients the probability of maintaining CD4+ >350 cell/mm

conclusionsEmpirical findings shows that patients defined as stable at enrollment are highly unlikely to experience a CD4+ value <350 cell/mm

Indexed as

AdultAgedCD4 Lymphocyte CountCD4-Positive T-LymphocytesCoinfectionFemaleHIV-1HIV InfectionsHumansItalyKaplan-Meier EstimateLogistic ModelsMaleMiddle AgedProportional Hazards ModelsRNA, ViralRNA, ViralCostHIVLymphocyte T CD4+Monitoring

Identifiers

PMID28166729
PMCPMC5294769

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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.