Evidence map›Paper›PMID 35236121›Full record

ArticleJournal of neurotrauma2022

Vibrational Spectroscopy for the Triage of Traumatic Brain Injury Computed Tomography Priority and Hospital Admissions.

Ashton G Theakstone, Paul M Brennan, Katherine Ashton, Endre Czeiter, Michael D Jenkinson, Khaja Syed, Matthew J Reed, Matthew J Baker, CENTER-TBI Participants and Investigators

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurotrauma, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
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

9 authors at 7 institutions in 3 countries.

Ashton G TheakstoneDepartment of Pure and Applied Chemistry, University of Strathclyde, Glasgow, United Kingdom.
Paul M BrennanTranslational Neurosurgery, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom.
Katherine AshtonNeuropathology, Lancashire Teaching Hospitals NHS Trust, Royal Preston Hospital, Preston, United Kingdom.
Endre CzeiterDepartment of Neurosurgery, Medical School and Szentágothai Research Centre, University of Pecs, Pecs, Hungary.
Michael D JenkinsonThe Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Khaja SyedThe Walton Centre NHS Foundation Trust, Liverpool, United Kingdom.
Matthew J ReedEmergency Medicine Research Group Edinburgh (EMERGE), Department of Emergency Medicine, Royal Infirmary of Edinburgh, Edinburgh, United Kingdom.
Matthew J BakerDxcover Ltd, Glasgow, United Kingdom.
CENTER-TBI Participants and Investigators
University of Groningen · NLUniversity of Edinburgh · GBEdinburgh Royal Infirmary · GBUniversity of Liverpool · GBUniversity of Pecs · HULancashire Teaching Hospitals NHS Foundation Trust · GBUniversity of Strathclyde · GB

Funding

Cancer Research UK A28345
6 · The paper itself

Abstract

Computed tomography (CT) brain imaging is routinely used to support clinical decision-making in patients with traumatic brain injury (TBI). Only 7% of scans, however, demonstrate evidence of TBI. The other 93% of scans contribute a significant cost to the healthcare system and a radiation risk to patients. There may be better strategies to identify which patients, particularly those with mild TBI, are at risk of deterioration and require hospital admission. We introduce a blood serum liquid biopsy that utilizes attenuated total reflectance (ATR)-Fourier transform infrared (FTIR) spectroscopy with machine learning algorithms as a decision-making tool to identify which patients with mild TBI will most likely present with a positive CT scan. Serum samples were obtained from patients (

Indexed as

Brain ConcussionBrain Injuries, TraumaticHospitalsHumansSpectrum AnalysisTomography, X-Ray ComputedTriagechemometricsCT brain imagingtraumatic brain injuryvibrational spectroscopy

Identifiers

PMID35236121
PMCPMC9225408
OpenAlexW4214915425

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.