Evidence map›Paper›PMID 29158647›Full record

ArticleJournal of clinical orthopaedics and trauma2017

Performance of physiology scoring systems in prediction of in-hospital mortality of traumatic children: A prospective observational study.

Babak Nakhjavan-Shahraki, Mahmoud Yousefifard, Gholamreza Faridaalaee, Kavous Shahsavari, Alireza Oraii, Mohammad Javad Hajighanbari, Parviz Karimi, Fatemeh Mahdizadeh, Samaneh Abiri, Mostafa Hosseini

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Article in Journal of clinical orthopaedics and trauma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
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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.

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2 · The registry

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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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Babak Nakhjavan-ShahrakiSina Trauma and Surgery Research Center, Tehran University of Medical Sciences, Tehran, Iran.
Mahmoud YousefifardPhysiology Research Center and Department of Physiology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Gholamreza FaridaalaeeDepartment of Emergency Medicine, Maragheh University of Medical Sciences, Maragheh, Iran.
Kavous ShahsavariRoad Traffic Injury Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Alireza OraiiDepartment of Medicine, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Javad HajighanbariDepartment of Emergency Medicine, Hafte Tir Hospital, Iran University of Medical Sciences, Tehran, Iran.
Parviz KarimiDepartment of Emergency Medicine, Robatkarim Hospital, Iran University of Medical Sciences, Tehran, Iran.
Fatemeh MahdizadehDepartment of Emergency Medicine, Ilam University of Medical Sciences, Ilam, Iran.
Samaneh AbiriDepartment of Emergency Medicine, Jahrom University of Medical Sciences, Jahrom, Iran.
Mostafa HosseiniDepartment of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study is designed to compare the value of four physiologic scoring systems of rapid acute physiology score (RAPS), rapid emergency medicine score (REMS), Worthing physiology scoring system (WPSS) and revised trauma score (RTS) in predicting the in-hospital mortality of traumatic children brought to the emergency department.

methodWe used the data gathered from six healthcare centers across Iran between the April-October 2016. Included patients were all children with trauma. Patients were assessed and followed until discharge. Moreover, patients were divided to two groups of died and alive, and discriminatory power and general calibration of models in prediction of in-hospital mortality were compared.

resultsData was gathered from 814 children (average age of 11.65 ± 5.36 years, 74.32% boys). Highest measured area under the curve was for RAPS and REMS with 0.986 and 0.986, respectively. Areas under the curve of WPSS and RTS were 0.920 and 0.949, respectively (p = 0.02). Sensitivity and specificity of RAPS were 100.0 and 95.05, respectively. These amounts for REMS were 100.0 and 94.04, respectively. Two models of RTS and WPSS had the same sensitivity of 84.62. Specificity of these two was 98.22 and 96.95, respectively. Three models of RAPS, REMS and RTS had proper calibrations in predicting mortality; however, it seems that WPSS overestimates the mortality in high risk patients.

conclusionAs calculations of RAPS is easier than REMS and their proper calibrations, it seems that RAPS is the best physiologic model in predicting in-hospital mortality and classifying in traumatic children based on severity of injury. However, further validation of the recommended score is essential before implementing them into routine clinical practice.

Indexed as

ClinicalDecision support systemsEmergency serviceHospitalPediatricsSensitivity and specificity

Identifiers

PMID29158647
PMCPMC5681232

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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.