Evidence map›Paper›PMID 28056807›Full record

ArticleBMC microbiology2017

Evaluating decontamination protocols for the isolation of Mycobacterium ulcerans from swabs.

Enid Owusu, Mercy J Newman, Amos Akumwena, Elizabeth Bannerman, Gerd Pluschke

Abstract read
In one paragraph

Article in BMC microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Enid OwusuDepartment of Medical Laboratory Sciences, School of Biomedical and Allied Health Sciences, University of Ghana, Accra, Ghana. enidowusu15@yahoo.com.
Mercy J NewmanDepartment of Medical Microbiology, School of Biomedical and Allied Health Sciences, University of Ghana, Accra, Ghana.
Amos AkumwenaDepartment of Medical Microbiology, School of Biomedical and Allied Health Sciences, University of Ghana, Accra, Ghana.
Elizabeth BannermanDepartment of Medical Microbiology, School of Biomedical and Allied Health Sciences, University of Ghana, Accra, Ghana.
Gerd PluschkeSwiss Tropical Institute, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMycobacterium ulcerans (M. ulcerans) is the causative agent of Buruli Ulcer (BU) disease. In order to inhibit the growth of the microbial contaminants during culture of M. ulcerans, it is necessary to decontaminate BU samples with effective chemical agents. This study aimed at investigating some selected chemicals as potential decontamination agents for the isolation of M. ulcerans from swabs.

resultsPovidone iodine at 0.5 and 1% exhibited the lowest contamination and recovery rate for microbial contaminants and M. ulcerans. The most effective decontamination method was the protocol using 2% cetylpyridinium chloride/4% sodium chloride (recovery rate = 53%, contamination rate = 14%). The observed difference between the recovery rate of 2% CPC/4% NaC and the other protocols was however not statistically significant (p = 0.76).

conclusionsTwo percent (2%) cetylpyridinium chloride/4% sodium chloride can be conveniently used as an alternative decontamination method for the isolation of M. ulcerans from swabs.

Indexed as

Anti-Infective AgentsBacteriological TechniquesBuruli UlcerCetylpyridiniumDecontaminationGhanaHumansMicrobial Sensitivity TestsMycobacterium ulceransOxalic AcidPovidone-IodineSodium ChlorideAnti-Infective AgentsCetylpyridiniumOxalic AcidPovidone-IodineSodium ChlorideBuruli ulcerCetyl pyridinium chlorideDecontaminationGhanaMycobacterium ulceransOxalic acid

Identifiers

PMID28056807
PMCPMC5217313

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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.