Evidence map›Paper›PMID 34223549›Full record

ArticleNeurotrauma reports2021

Development of a Mortality Prediction Tool in Pediatric Severe Traumatic Brain Injury.

Kawmadi Abeytunge, Michael R Miller, Saoirse Cameron, Tanya Charyk Stewart, Ibrahim Alharfi, Douglas D Fraser, Janice A Tijssen

Abstract read
In one paragraph

Article in Neurotrauma reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Comparison of Machine Learning Models in Predicting Mental Health Sequelae Following Concussion in Youth.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2025
    Article
  5. Article
  6. Observational
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  8. Article
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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

7 authors.

Kawmadi AbeytungeSchulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.
Michael R MillerDepartment of Paediatrics, Western University, London, Ontario, Canada.
Saoirse CameronDepartment of Paediatrics, Western University, London, Ontario, Canada.
Tanya Charyk StewartDepartment of Paediatrics, Western University, London, Ontario, Canada.
Ibrahim AlharfiDepartment of Pediatric Critical Care, Children's Hospital, King Fahad Medical City, Riyadh, Saudi Arabia.
Douglas D FraserDepartment of Paediatrics, Western University, London, Ontario, Canada.
Janice A TijssenDepartment of Paediatrics, Western University, London, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe traumatic brain injury (sTBI) is a leading cause of pediatric death, yet outcomes remain difficult to predict. The goal of this study was to develop a predictive mortality tool in pediatric sTBI. We retrospectively analyzed 196 patients with sTBI (pre-sedation Glasgow Coma Scale [GCS] score <8 and head Maximum Abbreviated Injury Scale (MAIS) score >4) admitted to a pediatric intensive care unit (PICU). Overall, 56 patients with sTBI (29%) died during PICU stay. Of the survivors, 88 (63%) were discharged home, and 52 (37%) went to an acute care or rehabilitation facility. Receiver operating characteristic (ROC) curve analyses of admission variables showed that pre-sedation GCS score, Rotterdam computed tomography (CT) score, and partial thromboplastin time (PTT) were fair predictors of PICU mortality (area under the curve [AUC] = 0.79, 0.76, and 0.75, respectively;

Indexed as

critical caremortalitypediatricprognosistraumatic brain injury

Identifiers

PMID34223549
PMCPMC8240826

What OpenQuestion holds

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LicenceCC BY
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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.