Evidence map›Paper›PMID 24505247›Full record

Trial reportPloS one2014

Factors related to changes in CD4+ T-cell counts over time in patients living with HIV/AIDS: a multilevel analysis.

Ulisses Ramos Montarroyos, Demócrito Barros Miranda-Filho, Cibele Comini César, Wayner Vieira Souza, Heloisa Ramos Lacerda, Maria de Fátima Pessoa Militão Albuquerque, Mariana Freitas Aguiar, Ricardo Arraes de Alencar Ximenes

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 13% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  6. Article
  7. Article
  8. Article
  9. CD4European journal of medical research · 2024
    Article
  10. Article
  11. Review
  12. HIV and Substance Use in Latin America: A Scoping Review.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

8 authors at 5 institutions in 1 country.

Ulisses Ramos MontarroyosFederal University of Pernambuco, Department of Tropical Medicine, Recife, Pernambuco, Brazil ; State University of Pernambuco, School of Medical Sciences,Oswaldo Cruz University Hospital, Recife, Pernambuco, Brazil.
Demócrito Barros Miranda-FilhoState University of Pernambuco, School of Medical Sciences,Oswaldo Cruz University Hospital, Recife, Pernambuco, Brazil.
Cibele Comini CésarDepartament of Statistics, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Wayner Vieira SouzaDepartment of Public Health, Research Center Aggeu Magalhães, Osvaldo Cruz Fundation, Recife, Pernambuco, Brazil.
Heloisa Ramos LacerdaFederal University of Pernambuco, Department of Tropical Medicine, Recife, Pernambuco, Brazil.
Maria de Fátima Pessoa Militão AlbuquerqueDepartment of Public Health, Research Center Aggeu Magalhães, Osvaldo Cruz Fundation, Recife, Pernambuco, Brazil.
Mariana Freitas AguiarState University of Pernambuco, School of Medical Sciences,Oswaldo Cruz University Hospital, Recife, Pernambuco, Brazil.
Ricardo Arraes de Alencar XimenesFederal University of Pernambuco, Department of Tropical Medicine, Recife, Pernambuco, Brazil ; State University of Pernambuco, School of Medical Sciences,Oswaldo Cruz University Hospital, Recife, Pernambuco, Brazil.
Universidade de Pernambuco · BRFundação Oswaldo Cruz · BRHospital Universitário Oswaldo Cruz · BRUniversidade Federal de Minas Gerais · BRUniversidade Federal de Pernambuco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe measurement of CD4+ T-cell (CD4) counts is a strong predictor of progression to AIDS and a means of monitoring antiviral therapy (ART). The success or failure of controlling virus levels in untreated patients or those taking ART may be associated with treatment adherence, habits, correlated infections unrelated to HIV, cancer, immunosuppressive drugs; as well as socio-economic and psychosocial aspects and access to healthcare. The aim of the present study was to identify, using a multilevel model, the factors related to the variations of CD4 counts over time, in patients living with HIV. METHODOLOGY: A cohort study was conducted with patients living with HIV, selected from July 2007 to December 2010. Patients were monitored from records of their first CD4 count after being diagnosed with HIV. A multilevel model with 3 levels of aggregation was applied to analyze the associations of predictor variables and the behavior of CD4 over time. PRINCIPAL

findingsA total of 1870 patients were enrolled. The mean number of CD4 at the beginning of the cohort was 393.1 cells/mm³, and there was a mean increase of 1.529 cells/mm³ per month. Patient's age, smoking, use of illicit drugs, hospital treatment, changing doctors and the use of ART, were factors that affected the kinetics of the CD4 count during the follow-up period. CONCLUSION/SIGNIFICANCE: The results of this study indicated increased levels of CD4 over time in a cohort of patients living with HIV/AIDS and identified factors that may influence this increase and are liable to intervention.

Indexed as

CD4-Positive T-LymphocytesMonitoring, PhysiologicAcquired Immunodeficiency SyndromeAdolescentAdultAgedCD4 Lymphocyte CountFemaleFollow-Up StudiesHumansMaleMiddle Aged

Identifiers

PMID24505247
PMCPMC3914785
OpenAlexW2022731930

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.