Evidence map›Paper›PMID 39058188›Full record

ArticleTropical medicine and infectious disease2024

Clinical Prediction Rules for In-Hospital Mortality Outcome in Melioidosis Patients.

Sunee Chayangsu, Chusana Suankratay, Apichat Tantraworasin, Jiraporn Khorana

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Sunee ChayangsuDepartment of Internal Medicine, Surin Hospital, Surin 32000, Thailand.ORCID 0000-0002-5563-9501
Chusana SuankratayDepartment of Internal Medicine, Faculty of Medicine, The King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok 10330, Thailand.
Apichat TantraworasinClinical Surgical Research Center, Department of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0002-7913-2799
Jiraporn KhoranaClinical Surgical Research Center, Department of Surgery, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.ORCID 0000-0001-9023-0923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMelioidosis, a disease induced by

methodsThe data were collected from Surin Hospital, Surin, Thailand, during the period from April 2014 to March 2017. We included patients aged 15 years and above who had cultures that tested positive for

resultsA total of 282 patients with melioidosis were included in this study. In the final analysis model, 251 patients were used for identifying the significant risk factors of in-hospital fatal melioidosis. Five factors were identified and used for developing the clinical prediction rules, and the factors were as follows: qSOFA ≥ 2 (odds ratio [OR] = 2.39,

conclusionsThis study presents a simple scoring system based on easily obtainable clinical parameters to predict in-hospital mortality in melioidosis patients. This tool may facilitate the early identification of high-risk patients who could benefit from more aggressive treatment strategies, potentially improving clinical decision-making and patient outcomes.

Indexed as

Burkholderia pseudomalleiclinical prediction rulesmelioidosismortality rateoutcomesepsis

Identifiers

PMID39058188
PMCPMC11281151

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