Evidence map›Paper›PMID 29307963›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2017

Evaluation of

Priyanka Gupta, Pratima Gupta, Biswaroop Chatterjee, Garima Mittal, Shashank Prateek, Aroop Mohanty

Abstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2017. 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

6 authors.

Priyanka GuptaDepartment of Microbiology, AIIMS, Rishikesh, Uttarakhand, India.
Pratima GuptaDepartment of Microbiology, AIIMS, Rishikesh, Uttarakhand, India.
Biswaroop ChatterjeeDepartment of Microbiology, Himalayan Institute of Medical Sciences, Jolly Grant, Dehradun, Uttarakhand, India.
Garima MittalDepartment of Microbiology, Himalayan Institute of Medical Sciences, Jolly Grant, Dehradun, Uttarakhand, India.
Shashank PrateekPDCC Infectious Disease, Consultant Lab Medicine, Q Health Diagnostics, Rishikesh, Uttarakhand, India.
Aroop MohantyAIIMS, Rishikesh, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCandidemia in critically ill patients is usually a severe and life-threatening condition. Furthermore, due to its nonspecific presentation, it is difficult to diagnose leading to delayed treatment, prolonged hospitalization, and increased health-care costs with increase in morbidity and mortality.

objectivesIn view of lack of data on " MATERIALS AND

methodsThe "

resultsAmong all three bedside risk scoring systems to predict candidemia both Leon score and Wenzel score offered significant discrimination between candidemic and noncandidemic patients with

conclusionLeon scoring system was found to have highest specificity, diagnostic accuracy, and positive likelihood ratio among all. Thus, we might conclude that a Leon score of ≥2.5 was most suitable for diagnosis of candidemia with significant accuracy and shortening of turnaround time when compared to the gold standard of blood culture. To the best of our knowledge, this is the first report on the subject.

Indexed as

Candida scoring systemscandidemiaIntensive Care Unit

Identifiers

PMID29307963
PMCPMC5752791

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.