Evidence map›Paper›PMID 28077093›Full record

ArticleBMC infectious diseases2017

Evaluation of the point-of-care Becton Dickinson Veritor™ Rapid influenza diagnostic test in Kenya, 2013-2014.

Linus K Ndegwa, Gideon Emukule, Timothy M Uyeki, Eunice Mailu, Sandra S Chaves, Marc-Alain Widdowson, Bandika V Lewa, Francis K Muiruri, Peter Omoth, Barry Fields and 1 more

Open access · goldAbstract read
In one paragraph

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 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

11 authors at 5 institutions in 2 countries.

Linus K NdegwaDGHP, Centers for Disease Control and Prevention, Nairobi, Kenya. ikf7@cdc.gov.
Gideon EmukuleDGHP, Centers for Disease Control and Prevention, Nairobi, Kenya.
Timothy M UyekiInfluenza Division, Centers for Disease Control and Prevention-Atlanta, Georgia, USA.
Eunice MailuKenya Medical Research Institute/Centers for Disease Control and Prevention-Kenya, Nairobi, Kenya.
Sandra S ChavesDGHP, Centers for Disease Control and Prevention, Nairobi, Kenya.
Marc-Alain WiddowsonDGHP, Centers for Disease Control and Prevention, Nairobi, Kenya.
Bandika V LewaCoast County Referral Hospital, Nairobi, Kenya.
Francis K MuiruriNyeri County Referral Hospital, Nairobi, Kenya.
Peter OmothMinistry of Health, Nairobi, Kenya.
Barry FieldsDGHP, Centers for Disease Control and Prevention, Nairobi, Kenya.
Joshua A MottInfluenza Division, Centers for Disease Control and Prevention-Atlanta, Georgia, USA.
Centers for Disease Control and Prevention · KECenters for Disease Control and Prevention · USKenya Medical Research Institute · KEMinistry of Health · KENairobi Hospital · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated the performance of the Becton Dickinson Veritor™ System Flu A + B rapid influenza diagnostic test (RIDT) to detect influenza viruses in respiratory specimens from patients enrolled at five surveillance sites in Kenya, a tropical country where influenza seasonality is variable.

methodsNasal swab (NS) and nasopharyngeal (NP)/oropharyngeal (OP) swabs were collected from patients with influenza like illness and/or severe acute respiratory infection. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the RIDT using NS specimens were evaluated against nasal swabs tested by real time reverse transcription polymerase chain reaction (rRT-PCR). The performance parameter results were expressed as 95% confidence intervals (CI) calculated using binomial exact methods, with P < 0.05 considered significant. Two-sample Z tests were used to test for differences in sample proportions. Analysis was performed using SAS software version 9.3.

resultsFrom July 2013 to July 2014, 3,569 patients were recruited, of which 78.7% were aged <5 years. Overall, 14.4% of NS specimens were influenza-positive by RIDT. RIDT overall sensitivity was 77.1% (95% CI 72.8-81.0%) and specificity was 94.9% (95% CI 94.0-95.7%) compared to rRT-PCR using NS specimens. RIDT sensitivity for influenza A virus compared to rRT-PCR using NS specimens was 71.8% (95% CI 66.7-76.4%) and was significantly higher than for influenza B which was 43.8% (95% CI 33.8-54.2%). PPV ranged from 30%-80% depending on background prevalence of influenza.

conclusionAlthough the variable seasonality of influenza in tropical Africa presents unique challenges, RIDTs may have a role in making influenza surveillance sustainable in more remote areas of Africa, where laboratory capacity is limited.

Indexed as

Point-of-Care TestingAdolescentAdultAgedAged, 80 and overAntigens, ViralBetainfluenzavirusChildChild, PreschoolFemaleHumansImmunoassayInfantInfluenza A virusInfluenza, HumanKenyaAntigens, ViralInfluenzaKenyaRapid influenza testSensitivity and specificity

Identifiers

PMID28077093
PMCPMC5225564
OpenAlexW2568534685

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.