Evidence map›Paper›PMID 31806044›Full record

ArticleBMC research notes2019

Point of care testing evaluation of lateral flow immunoassay for diagnosis of cryptococcus meningitis in HIV-positive patients at an urban hospital in Nairobi, Kenya, 2017.

Lawrence Kirimi Gitonga, Waqo Gufu Boru, Arthur Kwena, Marybeth Maritim, Joyce Wamicwe, James Ransom

Open access · goldAbstract read
In one paragraph

Article in BMC research notes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

6 authors at 4 institutions in 2 countries.

Lawrence Kirimi GitongaField Epidemiology and Laboratory Training Program, Nairobi, Kenya.
Waqo Gufu BoruField Epidemiology and Laboratory Training Program, Nairobi, Kenya.
Arthur KwenaMoi University, Eldoret, Kenya.
Marybeth MaritimUniversity of Nairobi, Nairobi, Kenya.
Joyce WamicweMinistry of Health, Nairobi, Kenya.
James RansomField Epidemiology and Laboratory Training Program, Nairobi, Kenya. james.ransom@piretpartners.com.ORCID http://orcid.org/0000-0001-6528-3994
Kenya Medical Training College · KEMoi University · KENational Aids Control Council · KEUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study was to evaluate the performance of lateral flow immunoassay (LFA) against latex agglutination (LA), India ink and culture in point-of-care diagnosis of cryptococcus meningitis (CM). We conducted cross-sectional study among HIV-positive patients with suspected CM at Mbagathi Hospital, Nairobi, April-July 2017.

resultsOf 124 capillary blood and serum and 99 cerebrospinal fluid (CSF) samples, LFA and LA had a concurrence on serum of 94.4%, kappa (0.88), sensitivity (100%) and specificity (91%). LFA and LA on CSF, was 97.9%, kappa (0.96), sensitivity (100%) and specificity (96%). LFA and India ink was 96.9%, kappa (0.94), sensitivity (100%) and specificity (94.1%). On CSF culture, concurrence was 72.7%, kappa (0.43), sensitivity (100%) and specificity (64%) and of LFA on capillary blood, serum and CSF was 100% with kappa (1.00), sensitivity and specificity of 100%.

Indexed as

Point-of-Care TestingAdultCross-Sectional StudiesHIV SeropositivityHospitals, UrbanHumansImmunoassayKenyaLatex Fixation TestsMeningitis, CryptococcalSensitivity and SpecificityHIVKenyaMeningitisPoint of care

Identifiers

PMID31806044
PMCPMC6896259
OpenAlexW2991985607

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.