Evidence map›Paper›PMID 25717370›Full record

ArticleF1000Research2014

Detection of Burkholderia pseudomallei in Sputum using Selective Enrichment Broth and Ashdown's Medium at Kampong Cham Provincial Hospital, Cambodia.

Somary Nhem, Joanne Letchford, Chea Meas, Sovanndeth Thann, James C McLaughlin, Ellen Jo Baron, T Eoin West

Abstract read
In one paragraph

Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. 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

7 authors.

Somary NhemKampong Cham Provincial Hospital, Kampong Cham, Cambodia.
Joanne LetchfordDiagnostic Microbiology Development Program, Phnom Penh, Cambodia.
Chea MeasKampong Cham Provincial Hospital, Kampong Cham, Cambodia.
Sovanndeth ThannKampong Cham Provincial Hospital, Kampong Cham, Cambodia.
James C McLaughlinDiagnostic Microbiology Development Program, Phnom Penh, Cambodia.
Ellen Jo BaronDepartment of Pathology, Stanford University School of Medicine, Palo Alto, CA 94304, USA.
T Eoin WestInternational Respiratory and Severe Illness Center, Division of Pulmonary and Critical Care Medicine, Harborview Medical Center, University of Washington, Seattle, WA 98104, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melioidosis, infection caused by Burkholderia pseudomallei, is increasingly reported in Cambodia. We hypothesized that implementation of an enhanced sputum testing protocol in a provincial hospital diagnostic microbiology laboratory would increase detection of B. pseudomallei. We tested 241 sputum specimens that were deemed acceptable for culture, comparing culture in selective enrichment broth followed by sub-culture on Ashdown's medium to standard culture methods. Two specimens (0.8%) were positive for B. pseudomallei using the enhanced protocol whereas one specimen (0.4%) was positive using standard methods. Given the low numbers of positive specimens, we could not conclusively determine the utility of the enhanced sputum testing protocol. However, the ramifications of identification of  B. pseudomallei are substantial, and the benefit of the enhanced testing protocol may be more apparent in patients selected based on risk factors and clinical presentation. Promoting clinician awareness of the infection and encouraging utilization of diagnostic microbiology services are also likely to be important factors in facilitating identification of melioidosis.

Indexed as

Burkholderia pseudomalleiCambodiadiagnostic microbiologylungmelioidosispneumoniasputum

Identifiers

PMID25717370
PMCPMC4329667

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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.