Evidence map›Paper›PMID 30887945›Full record

ArticleThe American journal of tropical medicine and hygiene2019

Clinical Utility of Platelet Count as a Prognostic Marker for Melioidosis.

Philippa Kirby, Simon Smith, Linda Ward, Josh Hanson, Bart J Currie

Abstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2019. 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
  2. Article
  3. Article
  4. Article
  5. Melioidosis: Laboratory Investigations and Association with Patient Outcomes.The American journal of tropical medicine and hygiene · 2021
    Article
  6. Article
  7. 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

5 authors.

Philippa KirbyInfectious Diseases Department and Northern Territory Medical Program, Royal Darwin Hospital, Darwin, Australia.
Simon SmithDepartment of Medicine, Cairns Hospital, Cairns, Australia.
Linda WardGlobal and Tropical Health Division, Menzies School of Health Research, Darwin, Australia.
Josh HansonKirby Institute, University of New South Wales, Kensington, Australia.
Bart J CurrieInfectious Diseases Department and Northern Territory Medical Program, Royal Darwin Hospital, Darwin, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thromobocytopenia predicts mortality in patients with melioidosis in Thailand. We analyzed platelet counts in two large cohorts of melioidosis patients in tropical northern Australia to assess utility in a different clinical setting. Admission platelet counts were compared between subgroups of patients with different clinical outcomes. Patients with more severe disease (indicated by bacteremia, septic shock, and death) had significantly lower platelet counts than those with less severe disease. Logistic regression analysis was carried out for potential predictors of mortality among various clinical parameters, and platelet count was shown to be an independent predictor of mortality. Furthermore, in patients critically ill with melioidosis, an increasing platelet count after admission was associated with a significantly greater chance of survival. However, given that most patients with severe disease still had platelet counts within the normal range, platelet count is not a useful biomarker for predicting the severity of melioidosis in a clinical context.

Indexed as

AdolescentAdultAgedAged, 80 and overBacteremiaBiomarkersChildChild, PreschoolFemaleHumansInfantIntensive Care UnitsMaleMelioidosisMiddle AgedPlatelet CountBiomarkers

Identifiers

PMID30887945
PMCPMC6493933

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.