Evidence map›Paper›PMID 29538642›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2018

Diagnostic Accuracy of Clinical and Microbiological Signs in Patients With Skin Lesions Resembling Buruli Ulcer in an Endemic Region.

Miriam Eddyani, Ghislain E Sopoh, Gilbert Ayelo, Luc V C Brun, Jean-Jacques Roux, Yves Barogui, Dissou Affolabi, William R Faber, Marleen Boelaert, Annelies Van Rie and 2 more

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  5. Systematic review: Global host range, case fatality and detection rates ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
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  17. Buruli Ulcer: a Review of the Current Knowledge.Current tropical medicine reports · 2018
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 4 countries.

Miriam EddyaniMycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Ghislain E SopohCentre de Dépistage et de Traitement de l'Ulcère de Buruli, Allada.
Gilbert AyeloCentre de Dépistage et de Traitement de l'Ulcère de Buruli, Allada.
Luc V C BrunDépartement d'Anatomie Pathologique, Faculté de Medécine, Université de Parakou, Benin.
Jean-Jacques RouxCentre Hospitalier de Chambéry, France.
Yves BaroguiCentre de Dépistage et de Traitement de l'Ulcère de Buruli, Lalo.
Dissou AffolabiLaboratoire de Référence des Mycobactéries, Cotonou, Benin.
William R FaberAcademic Medical Centre, Department of Dermatology, University of Amsterdam, The Netherlands.
Marleen BoelaertDepartment of Public Health, Institute of Tropical Medicine, Antwerp, Belgium.
Annelies Van RieGlobal Health Institute, Department of Epidemiology and Social Medicine, Faculty of Medicine and Health Sciences, University of Antwerp, Belgium.
Françoise PortaelsMycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Bouke C de JongMycobacteriology Unit, Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Instituut voor Tropische Geneeskunde · BEAidjan-Lagos Corridor Organization · BJCentre Hospitalier Métropole Savoie · FRUniversité de Parakou · BJUniversity of Amsterdam · NLUniversity of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The diagnosis of the neglected tropical skin and soft tissue disease Buruli ulcer (BU) is made on clinical and epidemiological grounds, after which treatment with BU-specific antibiotics is initiated empirically. Given the current decline in BU incidence, clinical expertise in the recognition of BU is likely to wane and laboratory confirmation of BU becomes increasingly important. We therefore aimed to determine the diagnostic accuracy of clinical signs and microbiological tests in patients presenting with lesions clinically compatible with BU. Methods: A total of 227 consecutive patients were recruited in southern Benin and evaluated by clinical diagnosis, direct smear examination (DSE), polymerase chain reaction (PCR), culture, and histopathology. In the absence of a gold standard, the final diagnosis in each patient was made using an expert panel approach. We estimated the accuracy of each test in comparison to the final diagnosis and evaluated the performance of 3 diagnostic algorithms. Results: Among the 205 patients with complete data, the attending clinicians recognized BU with a sensitivity of 92% (95% confidence interval [CI], 85%-96%), which was higher than the sensitivity of any of the laboratory tests. However, 14% (95% CI, 7%-24%) of patients not suspected to have BU at diagnosis were classified as BU by the expert panel. The specificities of all diagnostics were high (≥91%). All diagnostic algorithms had similar performances. Conclusions: A broader clinical suspicion should be recommended to reduce missed BU diagnoses. Taking into consideration diagnostic accuracy, time to results, cost-effectiveness, and clinical generalizability, a stepwise diagnostic approach reserving PCR to DSE-negative patients performed best.

Indexed as

AdolescentAdultAlgorithmsBeninBiopsyBuruli UlcerChildEndemic DiseasesFemaleHumansMaleMicroscopyMycobacterium ulceransNeglected DiseasesPolymerase Chain ReactionSensitivity and Specificity

Identifiers

PMID29538642
PMCPMC6117443
OpenAlexW2790141612

What OpenQuestion holds

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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.