Evidence map›Paper›PMID 28542359›Full record

ArticlePloS one2017

Performance evaluation of BD FACSPresto™ point of care CD4 analyzer to enumerate CD4 counts for monitoring HIV infected individuals in Nigeria.

Olubunmi Ruth Negedu-Momoh, Feyisayo Ebenezer Jegede, Ali Yakubu, Oluseyi Balogun, Musa Abdullahi, Titilope Badru, Edward Adekola Oladele, Chinedu Agbakwuru, Hadiza Khamofu, Kwasi Torpey

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Performance Evaluation of BD FACSPrestoDiagnostics (Basel, Switzerland) · 2022
    Article
  6. 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

10 authors at 3 institutions in 2 countries.

Olubunmi Ruth Negedu-MomohFamily Health International (FHI360), Garki- Abuja, Nigeria.ORCID http://orcid.org/0000-0003-3347-8177
Feyisayo Ebenezer JegedeFamily Health International (FHI360), Garki- Abuja, Nigeria.
Ali YakubuMurtala Mohammed Specialist Hospital, Kano, Nigeria.
Oluseyi BalogunFamily Health International (FHI360), Garki- Abuja, Nigeria.
Musa AbdullahiMurtala Mohammed Specialist Hospital, Kano, Nigeria.
Titilope BadruFamily Health International (FHI360), Garki- Abuja, Nigeria.
Edward Adekola OladeleFamily Health International (FHI360), Garki- Abuja, Nigeria.
Chinedu AgbakwuruFamily Health International (FHI360), Garki- Abuja, Nigeria.
Hadiza KhamofuFamily Health International (FHI360), Garki- Abuja, Nigeria.
Kwasi TorpeyFamily Health International (FHI360), Garki- Abuja, Nigeria.
Society for Family Health Nigeria · NGUniversity of Abuja Teaching Hospital · NGUniversity of Ghana · GH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite the upsurge in support and intervention of donor agencies in HIV care and treatment programing in Sub-Sahara African, antiretroviral (ART) programs are still confronted with access and coverage challenges which influence enrolment of new patients. This study investigated the validity of point of care BD FACSPresto™ CD4 analyzer for CD4+ cell count, overall agreement, correlation, sensitivity, and specificity in comparison to a reference standard flow cytometry method. We also assessed the feasibility of use among non-laboratorians.

methodsBlood samples from 300 HIV infected individuals were analyzed for CD4+ T cell and CD4%, using finger prick capillary sample from 150 PMTCT clients and 150 ART clients at Murtala Mohammed Specialist Hospital, Kano, Nigeria. Their venous samples were compared on a flow cytometry reference method using BD FACSCount CD4+ count system. The accuracy of the BD FACSPresto machine in comparison to BD FACSCount was evaluated. Statistical analysis was carried out using STATA (version 12). Bland-Altman method and correlation analysis were used to analyze agreement between both measurements. In addition, sensitivity and specificity of both measurements were determined. Statistical significance was set at p-value <0.05.

resultsThe mean bias and limit of agreement for CD4+ count between BD FACSPresto and BD FACS count machine were 7.49 (95% CI: 2.44 to 12.54) and -8.14 to 96.39 respectively. Further analysis revealed close agreement between BD FACSPresto and BD FACSCount with no significant difference between the two methods (p = .0.95). Using a threshold of 500 cells/μL, sensitivity and specificity of BD FACSPresto were 95.1% and 97.1% respectively, compared to BD FACSCount. There was no statistically significant difference in the misclassification between BD FACSPresto and BD FACSCount results (p = 0.23). Furthermore, sensitivity and specificity were similar when BD FACSPresto machine was operated by a nurse or laboratory scientist, there was no substantial difference in testing variability observed between laboratory and non-laboratory operators using the BD FACSPresto analyzer.

conclusionsOverall, BD FACSPresto Point of Care CD4+ count finger stick capillary blood results is a reliable method in comparison to venous sample cytometry method and no significant difference variability observed between laboratory personnel and non-laboratory operators. The BD FACSPresto is simple, more robust and easy to use equipment without significant variability in reliability by non-laboratory health care workers hence will be a valuable instrument in increasing access and coverage of CD4 estimations in developing countries. The introduction of the BD FACSPresto POC analyzer has a high potential in reducing patients waiting time and improving the overall quality of ART service and clients' satisfaction especially in rural settings.

Indexed as

AdolescentAdultAgedBlood Specimen CollectionCD4 Lymphocyte CountCD4-Positive T-LymphocytesDeveloping CountriesFemaleHIV InfectionsHumansMaleMiddle AgedNigeriaPoint-of-Care SystemsReproducibility of ResultsRural Population

Identifiers

PMID28542359
PMCPMC5444776
OpenAlexW2619323198

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.