Evidence map›Paper›PMID 36624110›Full record

ArticleScientific reports2023

Rapid prediction of secondary neurologic decline after traumatic brain injury: a data analytic approach.

Jamie Podell, Shiming Yang, Serenity Miller, Ryan Felix, Hemantkumar Tripathi, Gunjan Parikh, Catriona Miller, Hegang Chen, Yi-Mei Kuo, Chien Yu Lin and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

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

  1. Data-driven decision making in patient management: a systematic review.BMC medical informatics and decision making · 2025
    Pooled it
  2. Small traumatic intracranial hemorrhages identified in routine radiology reports are associated with a low risk of adverse events: a retrospective cohort study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2026
    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

12 authors.

Jamie PodellProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Shiming YangProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Serenity MillerProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Ryan FelixProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Hemantkumar TripathiProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Gunjan ParikhProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Catriona MillerProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Hegang ChenProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Yi-Mei KuoProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Chien Yu LinProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Peter HuProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA.
Neeraj BadjatiaProgram in Trauma, Shock Trauma Neurocritical Care, University of Maryland School of Medicine, 22 S. Greene Street, G7K19, Baltimore, MD, 21201, USA. nbadjatia@som.umaryland.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secondary neurologic decline (ND) after traumatic brain injury (TBI) is independently associated with outcome, but robust predictors of ND are lacking. In this retrospective analysis of consecutive isolated TBI admissions to the R. Adams Cowley Shock Trauma Center between November 2015 and June 2018, we aimed to develop a triage decision support tool to quantify risk for early ND. Three machine learning models based on clinical, physiologic, or combined characteristics from the first hour of hospital resuscitation were created. Among 905 TBI cases, 165 (18%) experienced one or more ND events (130 clinical, 51 neurosurgical, and 54 radiographic) within 48 h of presentation. In the prediction of ND, the clinical plus physiologic data model performed similarly to the physiologic only model, with concordance indices of 0.85 (0.824-0.877) and 0.84 (0.812-0.868), respectively. Both outperformed the clinical only model, which had a concordance index of 0.72 (0.688-0.759). This preliminary work suggests that a data-driven approach utilizing physiologic and basic clinical data from the first hour of resuscitation after TBI has the potential to serve as a decision support tool for clinicians seeking to identify patients at high or low risk for ND.

Indexed as

Brain Injuries, TraumaticData ScienceHospitalizationHumansRetrospective StudiesTriage

Identifiers

PMID36624110
PMCPMC9829683

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.