Evidence map›Paper›PMID 32886658›Full record

ArticlePLoS neglected tropical diseases2020

Introduction of Mycobacterium ulcerans disease in the Bankim Health District of Cameroon follows damming of the Mapé River.

Koen Vandelannoote, Gerd Pluschke, Miriam Bolz, Martin W Bratschi, Sarah Kerber, Timothy P Stinear, Bouke C de Jong

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Systematic review: Global host range, case fatality and detection rates ofJournal of clinical tuberculosis and other mycobacterial diseases · 2024
    Review
  2. Emergence and spread ofMicrobiology spectrum · 2024
    Article
  3. Review
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.

Koen VandelannooteDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.ORCID 0000-0001-8367-4083
Gerd PluschkeMolecular Immunology, Swiss Tropical Institute, Basel, Switzerland.
Miriam BolzMolecular Immunology, Swiss Tropical Institute, Basel, Switzerland.
Martin W BratschiMolecular Immunology, Swiss Tropical Institute, Basel, Switzerland.
Sarah KerberMolecular Immunology, Swiss Tropical Institute, Basel, Switzerland.
Timothy P StinearDepartment of Microbiology and Immunology, The University of Melbourne at the Doherty Institute for Infection & Immunity, Melbourne, Australia.
Bouke C de JongDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Buruli ulcer (BU) is an emerging ulcerative skin disease caused by infection with Mycobacterium ulcerans. Efforts to control its spread have been hampered by our limited understanding of M. ulcerans reservoirs and transmission, and the factors leading to the emergence of BU disease in a particular region. In this report we investigate an anecdotal link between damming the Mapé River in Cameroon and the emergence of BU in the Health Districts bordering Lake Bankim, the impoundment created by the Mapé dam. We used bacterial population genomics and molecular dating to find compelling support for a 2000 M. ulcerans introduction event that followed about 10 years after the filling of the newly created impoundment in 1988. We compared the genomic reconstructions with high-resolution satellite imagery to investigate what major environmental alterations might have driven the emergence of the new focus.

Indexed as

Buruli UlcerCameroonHumansLakesMycobacterium ulceransPhylogeny

Identifiers

PMID32886658
PMCPMC7473558

What OpenQuestion holds

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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.