Evidence map›Paper›PMID 27166955›Full record

ArticlePloS one2016

Evaluation of PIMATM CD4 System for Decentralization of Immunological Monitoring of HIV-Infected Patients in Senegal.

Babacar Faye, Moustapha Mbow, Mame Cheikh Seck, Babacar Mbengue, Djiril Wade, Makhtar Camara, Cathy Cissé, Salimata Guèye Diouf, Babacar Ndao, Audrey Djibo and 4 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Stroke in Sierra Leone. the stroke risk factors for people with HIV: A prospective case-control study.Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association · 2023
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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

14 authors at 4 institutions in 3 countries.

Babacar FayeMilitary Hospital of Ouakam, Dakar, Senegal.
Moustapha MbowMilitary Hospital of Ouakam, Dakar, Senegal.
Mame Cheikh SeckMilitary Hospital of Ouakam, Dakar, Senegal.
Babacar MbengueImmunology Department, Faculty of Medicine, Pharmacy and Odontology of the Cheikh Anta Diop University of Dakar, Senegal.
Djiril WadeImmunology Department of the Laboratory of Bacteriology and Virology of Aristide le Dantec University Hospital of Dakar, Senegal.
Makhtar CamaraImmunology Department of the Laboratory of Bacteriology and Virology of Aristide le Dantec University Hospital of Dakar, Senegal.
Cathy CisséMilitary Hospital of Ouakam, Dakar, Senegal.
Salimata Guèye DioufMilitary Hospital of Ouakam, Dakar, Senegal.
Babacar NdaoSenegalese AIDS Army Program, Dakar, Senegal.
Audrey DjiboDepartment of Defense HIV/AIDS Prevention Program, Naval Health Research Center, San Diego, CA, United States of America.
Maguette Dème Sylla NiangImmunology Department, Faculty of Medicine, Pharmacy and Odontology of the Cheikh Anta Diop University of Dakar, Senegal.
Tandakha NdiayeImmunology Department, Faculty of Medicine, Pharmacy and Odontology of the Cheikh Anta Diop University of Dakar, Senegal.
Michael P GrilloDepartment of Defense HIV/AIDS Prevention Program, Naval Health Research Center, San Diego, CA, United States of America.
Alioune DièyeImmunology Department, Faculty of Medicine, Pharmacy and Odontology of the Cheikh Anta Diop University of Dakar, Senegal.
Cheikh Anta Diop University · SNHôpital Aristide Le Dantec · SNNaval Health Research Center · USFrontier Hospital · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHIV infection is a concern in the army troupes because of the risk behaviour of the military population. In order to allow regular access to CD4+ T cell enumeration of military personnel as well as their dependents and civilians living with HIV, the Senegalese Army AIDS program is implementing PIMATM Alere technology in urban and semi-urban military medical centres. Validation such device is therefore required prior their wide implementation. The purpose of this study was to compare CD4+ T cell count measurements between the PIMATM Alere to the BD FACSCountTM. METHODOLOGY: We selected a total of 200 subjects including 50 patients with CD4+ T-cells below 200/mm3, 50 between 200 and 350/mm3, 50 between 351 and 500/mm3, and 50 above 500/mm3. CD4+ T-cell count was performed on venous blood using the BD FASCountTM as reference method and the PIMATM Point of Care technology. The mean biases and limits of agreement between the PIMATM Alere and BD FACSCountTM were assessed with the Bland-Altman analysis, the linear regression performed using the Passing-Bablok regression analysis, and the percent similarity calculated using the Scott method.

resultsOur data have shown a mean difference of 22.3 cells/mm3 [95%CI:9.1-35.5] between the BD FACSCountTM and PIMATM Alere CD4 measurements. However, the mean differences of the two methods was not significantly different to zero when CD4+ T-cell count was below 350/mm3 (P = 0.76). The Passing-Bablok regression in categorized CD4 counts has also showed concordance correlation coefficient of 0.89 for CD4+ T cell counts below 350/mm3 whilst it was 0.5 when CD4 was above 350/mm3.

conclusionOverall, our data have shown that for low CD4 counts, the results from the PIMATM Alere provided accurate CD4+ T cell counts with a good agreement compared to the FACSCountTM.

Indexed as

Military PersonnelAdultAgedCD4 Lymphocyte CountCD4-Positive T-LymphocytesFemaleFlow CytometryHIV InfectionsHospitals, MilitaryHumansLinear ModelsMaleMiddle AgedMonitoring, ImmunologicPoint-of-Care SystemsRisk-Taking

Identifiers

PMID27166955
PMCPMC4864219
OpenAlexW2388600368

What OpenQuestion holds

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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.