Evidence map›Paper›PMID 22718936›Full record

ArticleJournal of clinical microbiology2012

Performance of BinaxNOW for diagnosis of malaria in a U.S. hospital.

Michael A Dimaio, Irma T Pereira, Tracy I George, Niaz Banaei

Open access · bronzeAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

24 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Malaria Surveillance - United States, 2018.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2022
    Article
  6. Article
  7. Review
  8. Fever in the Returned Pediatric Traveler.Global pediatric health · 2021
    Review
  9. Article
  10. Article
  11. Clinical Impact of Malaria Rapid Diagnostic Testing at a US Children's Hospital.Journal of the Pediatric Infectious Diseases Society · 2020
    Article
  12. Evaluation of the sick returned traveler.Seminars in diagnostic pathology · 2019
    Review
  13. Review
  14. Malaria Diagnostic Practices in U.S. Laboratories in 2017.Journal of clinical microbiology · 2018
    Article
  15. Article
  16. Article
  17. Malaria in Children.Pediatric clinics of North America · 2017
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Michael A DimaioDepartment of Pathology, Division of Infectious Diseases and Geographic Medicine, Stanford University School of Medicine, Stanford, California, USA.
Irma T Pereira
Tracy I George
Niaz Banaei
Stanford Medicine · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microscopic diagnosis and species identification of Plasmodium in areas of nonendemicity provide a robust method for malaria diagnosis but are technically challenging. A prospective study was conducted to measure the performance of BinaxNOW compared to microscopy (the gold standard) in a U.S. teaching hospital. Overall, BinaxNOW was 84.2% sensitive and 99.8% specific. Excluding patients on antimalarial therapy, the sensitivity was 92.9%. Importantly, BinaxNOW initially misclassified a case of Plasmodium falciparum malaria as non-falciparum. These results support the judicious use of BinaxNOW in screening of individuals suspected of having malaria in areas of nonendemicity.

Indexed as

AgedClinical Laboratory TechniquesHospitalsHumansImmunoassayMalariaMaleMicroscopyParasitologyPlasmodiumProspective StudiesSensitivity and SpecificityUnited States

Identifiers

PMID22718936
PMCPMC3421790
OpenAlexW1990577284

What OpenQuestion holds

Textmetadata
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.