Evidence map›Paper›PMID 24800015›Full record

ArticleIranian journal of pediatrics2013

Mortality risk prediction by application of pediatric risk of mortality scoring system in pediatric intensive care unit.

Ali Khajeh, Noor Mohammad Noori, Mohsen Reisi, Afshin Fayyazi, Mahdi Mohammadi, Ghasem Miri-Aliabad

Abstract read
In one paragraph

Article in Iranian journal of pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

6 authors.

Ali KhajehDepartment of Pediatrics, Children and Adolescent Health Research Center, Zahedan University of Medical Sciences, Iran.
Noor Mohammad NooriDepartment of Pediatrics, Children and Adolescent Health Research Center, Zahedan University of Medical Sciences, Iran.
Mohsen ReisiDepartment of Pediatrics, Children and Adolescent Health Research Center, Zahedan University of Medical Sciences, Iran.
Afshin FayyaziDepartment of Pediatrics, Hamedan University of Medical Sciences, Iran.
Mahdi MohammadiDepartment of Pediatrics, Children and Adolescent Health Research Center, Zahedan University of Medical Sciences, Iran.
Ghasem Miri-AliabadDepartment of Pediatrics, Children and Adolescent Health Research Center, Zahedan University of Medical Sciences, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe Pediatric Risk of Mortality (PRISM) score is one of the scores used by many pediatricians for prediction of the mortality risk in the pediatric intensive care unit (PICU). Herein, we intend to evaluate the efficacy of PRISM score in prediction of mortality rate in PICU.

methodsIn this cohort study, 221 children admitted during an 18-month period to PICU, were enrolled. PRISM score and mortality risk were calculated. Follow up was noted as death or discharge. Results were analyzed by Kaplan-Meier curve, ROC curve, Log Rank (Mantel-Cox), Logistic regression model using SPSS 15.

findingsTotally, 57% of the patients were males. Forty seven patients died during the study period. The PRISM score was 0-10 in 71%, 11-20 in 20.4% and 21-30 in 8.6%. PRISM score showed an increase of mortality from 10.2% in 0-10 score patients to 73.8% in 21-30 score ones. The survival time significantly decreased as PRISM score increased (P≤0.001). A 7.2 fold mortality risk was present in patients with score 21-30 compared with score 0-10. ROC curve analysis for mortality according to PRISM score showed an under curve area of 80.3%.

conclusionPRISM score is a good predictor for evaluation of mortality risk in PICU.

Indexed as

ChildrenMortalityPediatric Intensive Care UnitPRISM Score

Identifiers

PMID24800015
PMCPMC4006504

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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.