Evidence map›Paper›PMID 27633798›Full record

ArticleScientific reports2016

The diagnostic accuracy of pericardial and urinary lipoarabinomannan (LAM) assays in patients with suspected tuberculous pericarditis.

Shaheen Pandie, Jonathan G Peter, Zita S Kerbelker, Richard Meldau, Grant Theron, Ureshnie Govender, Mpiko Ntsekhe, Keertan Dheda, Bongani M Mayosi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. 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
1.6field-weighted citation impact, top 15% 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, 23 citations in OpenAlex.

  1. Pooled it
  2. Urinary lipoarabinomannan: A novel diagnostic tool for distinguishing gastrointestinal tuberculosis from Crohn's disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
  3. Urinary lipoarabinomannan for gastrointestinal tuberculosis: Another tool in the kit.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2026
    Article
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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

9 authors at 2 institutions in 2 countries.

Shaheen PandieThe Cardiac Clinic, Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Jonathan G PeterTB Vaccine Group, Jenner Institute, University of Oxford, Oxford, UK.
Zita S KerbelkerThe Cardiac Clinic, Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Richard MeldauLung Infections and Immunity Unit and UCT Lung Institute, Division of Pulmonology, Department of Medicine, Groote Schuur Hospital, Cape Town, South Africa.
Grant TheronLung Infections and Immunity Unit and UCT Lung Institute, Division of Pulmonology, Department of Medicine, Groote Schuur Hospital, Cape Town, South Africa.
Ureshnie GovenderLung Infections and Immunity Unit and UCT Lung Institute, Division of Pulmonology, Department of Medicine, Groote Schuur Hospital, Cape Town, South Africa.
Mpiko NtsekheThe Cardiac Clinic, Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
Keertan DhedaLung Infections and Immunity Unit and UCT Lung Institute, Division of Pulmonology, Department of Medicine, Groote Schuur Hospital, Cape Town, South Africa.
Bongani M MayosiThe Cardiac Clinic, Department of Medicine, Groote Schuur Hospital and University of Cape Town, Cape Town, South Africa.
University of Cape Town · ZAGroote Schuur Hospital · ZA

Funding

Fogarty International Clinical Research Scholars Support Center @ Vanderbilt-AAMCR24TW007988 · FIC · VANDERBILT UNIVERSITY · PI VERMUND, STEN H. · 2007 to 2011
$27.6M
FIC NIH HHS R24 TW007988
6 · The paper itself

Abstract

We evaluated the diagnostic accuracy of urinary and pericardial fluid (PF) lipoarabinomannan (LAM) assays in tuberculous pericarditis (TBP). From October 2009 through September 2012, 151 patients with TBP were enrolled. Mycobacterium tuberculosis culture and/or pericardial histology were the reference standard for definite TBP. 49% (74/151), 33.1% (50/151) and 17.9% (27/151) of patients had definite-, probable-, and non-TB respectively; 69.5% (105/151) were HIV positive. LAM ELISA had the following sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, positive predictive value and negative predictive values (95% confidence interval): urinary - 17.4% (9.1-30.7), 93.8% (71.7-98.9), 2.8 (0.1-63.3), 0.9 (0.8-0.9), 88.9% (56.5-98.0), and 28.3% (17.9-41.6); PF - 11.6% (6.0-21.3), 88% (70.0-95.8), 0.9 (0.08-12.0), 1.0 (0.9-1.1), 72.7% (43.4-90.1), and 26.6% (18.2-36.9). Sensitivity increased with a CD4 ≤ 100 cells/mm(3) from 3.5% to 50% (p < 0.001) for urinary LAM ELISA; for urinary LAM strip test, grade 1 and 2 cut-points performed similarly, irrespective of HIV status or CD4 count. For PF LAM strip tests, switching cut-points from grade 1 to 2 significantly reduced test sensitivity (54.5% versus 19.7%; p < 0.001). Urinary and PF LAM assays have low sensitivity but high specificity for diagnosis of TBP. The sensitivity of urinary LAM is increased in HIV-infected patients with a CD4 ≤ 100 cells/mm(3).

Indexed as

Mycobacterium tuberculosisAdultCD4 Lymphocyte CountEnzyme-Linked Immunosorbent AssayFemaleHIV InfectionsHumansLikelihood FunctionsLipopolysaccharidesMaleMiddle AgedMultivariate AnalysisPericarditis, TuberculousPericardiumPredictive Value of TestsReproducibility of ResultslipoarabinomannanLipopolysaccharides

Identifiers

PMID27633798
PMCPMC5025647
OpenAlexW2520391046

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.