ArticleGlobal pediatric health2021
Predicting Candida Infection in Pediatric Intensive Care Unit using Candida Score in a Low-Resource Setting.
Article in Global pediatric health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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.
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Who cites it
2 citing papers in PubMed, 5 citations in OpenAlex.
- Machine learning prediction of mortality in pediatric fungemia using the Candida score.Scientific reports · 2025Article
- Fungal Infection Testing in Pediatric Intensive Care Units-A Single Center Experience.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Candida infection was previously thought to be rare in intensive care. With the increased use of broad-spectrum antibiotics, the incidence of candida infection increased significantly. Case-control study was done in patients ≤18 years of age treated for 3 days or more in Pediatric Intensive Care Unit (PICU) Dr. Sardjito General Hospital, Yogyakarta from January 2014 to December 2016. Overall, 43 children were included in this study as a case group with positive candida culture and 43 children as a control group with no candida culture. Cut off point of candida score is ≥3 from our subjects. The area under curve (AUC) value for cut off ≥3 was moderate (0,72). Candida score ≥3 has an odd ratio (OR) 6.8 (95% CI 2.4-18.6) with
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Registered trials
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.