Evidence map›Paper›PMID 25471640›Full record

Trial reportBMC infectious diseases2014

Urine lipoarabinomannan point-of-care testing in patients affected by pulmonary nontuberculous mycobacteria--experiences from the Danish Cystic Fibrosis cohort study.

Tavs Qvist, Isik S Johansen, Tania Pressler, Niels Høiby, Aase B Andersen, Terese L Katzenstein, Stephanie Bjerrum

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in BMC infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Observational
  5. Article
  6. Review
  7. Review
  8. Article
  9. Getting to the point in point-of-care diagnostics for tuberculosis.The Journal of clinical investigation · 2020
    Article
  10. Urine lipoarabinomannan as a marker for low-risk of NTM infection in the CF airway.Journal of cystic fibrosis : official journal of the European Cystic Fibrosis Society · 2020
    Article
  11. Article
  12. The future of cystic fibrosis care: a global perspective.The Lancet. Respiratory medicine · 2020
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. 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

7 authors at 2 institutions in 1 country.

Tavs QvistDepartment of Infectious Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. tavs.qvist@gmail.com.
Isik S JohansenDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark. isik@dadlnet.dk.
Tania PresslerDepartment of Infectious Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. tania.pressler@gmail.com.
Niels HøibyDepartment of Clinical Microbiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. hoiby@dadlnet.dk.
Aase B AndersenDepartment of Infectious Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. bengaard@dadlnet.dk.
Terese L KatzensteinDepartment of Infectious Diseases, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark. terese.katzenstein@regionh.dk.
Stephanie BjerrumDepartment of Infectious Diseases, Odense University Hospital, Odense, Denmark. steph@medicinsk.dk.
Copenhagen University Hospital · DKOdense University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe urine lipoarabinomannan (LAM) strip test has been suggested as a new point-of-care test for active tuberculosis (TB) among human immunodeficiency virus (HIV) infected individuals. It has been questioned if infections with nontuberculous mycobacteria (NTM) affect assay specificity. We set forth to investigate if the test detects LAM in urine from a Danish cystic fibrosis (CF) population characterized by a high NTM prevalence and negligible TB exposure.

methodPatients followed at the Copenhagen CF Center were comprehensively screened for pulmonary NTM infection between May 2012 and December 2013. Urine samples were tested for LAM using the 2013 Determine™ TB LAM Ag strip test.

resultsThree-hundred and six patients had a total of 3,322 respiratory samples cultured for NTM and 198 had urine collected (65%). A total of 23/198 (12%) had active pulmonary NTM infection. None had active TB. The TB-LAM test had an overall positive rate of 2.5% applying a grade 2 cut-point as positivity threshold, increasing to 10.6% (21/198) if a grade 1 cut-point was applied. Among patients with NTM infection 2/23 (8.7%) had a positive LAM test result at the grade 2 cut-point and 9/23 (39.1%) at the grade 1 cut -point. Test specificity for NTM diagnosis was 98.3% and 93.1 for grade 2 and 1 cut-point respectively.

conclusionsThis is the first study to assess urine LAM detection in patients with confirmed NTM infection. The study demonstrated low cross-reactivity due to NTM infection when using the recommended grade 2 cut-point as positivity threshold. This is reassuring in regards to interpretation of the LAM test for TB diagnosis in a TB prevalent setting. The test was not found suitable for NTM detection among patients with CF.

Indexed as

Point-of-Care SystemsAdultAntigens, BacterialBiomarkersCohort StudiesCross ReactionsCystic FibrosisDenmarkFemaleHumansLipopolysaccharidesMaleMycobacterium Infections, NontuberculousNontuberculous MycobacteriaProspective StudiesSensitivity and SpecificityAntigens, BacterialBiomarkerslipoarabinomannanLipopolysaccharides

Identifiers

PMID25471640
PMCPMC4260379
OpenAlexW2063846758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.