Evidence map›Paper›PMID 38358429›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2024

How significant is the BIG score in childhood traumatic brain injury?

Nazan Ulgen Tekerek, Erdem Cebisli, Mine Erkan, Alper Koker, Oguz Dursun

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Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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.

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Can the BIG score reliably predict outcomes in pediatric traumatic brain ınjury?Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2025
    Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Nazan Ulgen TekerekPediatric Intensive Care Unit, Faculty of Medicine, Department of Child Health and Diseases Secretariat, Akdeniz University, Akdeniz University Hospital, Dumlupınar Boulevard, Campus, H Block 2 Floor, 07070, Antalya, Turkey. nazanulgen@gmail.com.ORCID 0000-0002-4577-1488
Erdem CebisliPediatric Intensive Care Unit, Antalya Training, and Research Hospital, Antalya, Turkey.ORCID 0000-0001-9868-8998
Mine ErkanDepartment of Pediatrics, Faculty of Medicine, Akdeniz University, Antalya, Turkey.ORCID 0000-0001-8612-356X
Alper KokerPediatric Intensive Care Unit, Akdeniz University School of Medicine, Antalya, Turkey.ORCID 0000-0003-1231-3023
Oguz DursunPediatric Intensive Care Unit, Akdeniz University School of Medicine, Antalya, Turkey.ORCID 0000-0001-5482-3780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to evaluate the reliability of the BIG score in predicting mortality in children with traumatic brain injury (TBI) and to compare it with the literature and other scoring systems.

methodsPatients who were followed up in the Pediatric Intensive Care Unit (PICU) for TBI between 2014 and 2019 in a tertiary reference hospital were evaluated retrospectively.

resultsOne hundred fifty-nine patients met the inclusion criteria. The most common injury mechanisms were falling from a height (39.6%). The mortality rate was 12.6% (n = 20). The mean BIG score, ISS, and PRISM III were statistically significantly higher in the mortality group (p < 0.001). The AUC values found in the ROC analysis in the whole study group, respectively, 0.962 (CI 0.920-0.986) for the BIG score, 0.952 (CI 0.906-0.979) for the ISS, 0.957 (CI 0.913-0.983) for the GCS, and 0.981 (CI 0.946-0.996) for the PRISM III. In the patients with isolated TBI, the AUC value for the BIG score was 0.988 (0.967-1.000) and higher than the ISS and PRISM 3 [0.983 (0.956-1.000), 0.969 (0.932-1.000) respectively]). The cut-off point for the BIG score in the whole group was 19 (sensitivity 95%, specificity 88%, positive predictive value 0.58, negative predictive value 0.99). In logistic regression model, we found that BIG score is an independent variable for mortality (AOR:1.4, 95%CI 1.22-1.63).

conclusionIn children with traumatic brain injury, the BIG score is simple, quickly calculated, and a good predictor of mortality and disease severity. Prospective studies with more extensive series are needed on this subject.

Indexed as

Brain Injuries, TraumaticAdolescentChildChild, PreschoolFemaleGlasgow Coma ScaleHumansInfantIntensive Care Units, PediatricMaleReproducibility of ResultsRetrospective StudiesBIG scoreChildTraumatic brain injury

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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.