Evidence map›Paper›PMID 33652772›Full record

ArticleMicroorganisms2021

Evaluation of Four Lateral Flow Assays for the Detection of

Alicia Y W Wong, Alexander T A Johnsson, Aina Iversen, Simon Athlin, Volkan Özenci

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. The Brief Case: A fatal case ofJournal of clinical microbiology · 2024
    Review
  5. Article
  6. Article
  7. Journal of clinical medicine · 2022
    Review
  8. Article
  9. Review
  10. Comparison of FourMicroorganisms · 2021
    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

5 authors at 3 institutions in 1 country.

Alicia Y W WongDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 141 86 Stockholm, Sweden.
Alexander T A JohnssonDepartment of Clinical Microbiology, Karolinska University Hospital, Huddinge, 141 86 Stockholm, Sweden.
Aina IversenDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 141 86 Stockholm, Sweden.
Simon AthlinSchool of Medical Sciences, Faculty of Medicine and Health, Örebro University, 701 82 Örebro, Sweden.ORCID 0000-0002-8730-6955
Volkan ÖzenciDivision of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, 141 86 Stockholm, Sweden.
Karolinska University Hospital · SEKarolinska Institutet · SEÖrebro University · SE

Funding

VINNOVA 2018-03896
6 · The paper itself

Abstract

Urinary antigen tests (UATs) are often used to diagnose Legionnaires' disease as they are rapid and easy to perform on readily obtainable urine samples without the need for specialized skills compared to conventional methods. Recently developed automated readers for UATs may provide objective results interpretation, especially in cases of weak result bands. Using 53 defined patient urine samples, we evaluated the performance of the BinaxNOW

Indexed as

BinaxNOWImmuViewLegionella antigenLegionella pneumophilapneumoniaSofiaSTANDARD Furinary antigen test (UAT)

Identifiers

PMID33652772
PMCPMC7996842
OpenAlexW3135074489

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.