Evidence map›Paper›PMID 32019818›Full record

ArticleBMJ open2020

Challenges in the acute identification of mild traumatic brain injuries: results from an emergency department surveillance study.

Ilaria Pozzato, Susanne Meares, Annette Kifley, Ashley Craig, Mark Gillett, Kim Van Vu, Anthony Liang, Ian Cameron, Bamini Gopinath

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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  12. Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

9 authors at 3 institutions in 1 country.

Ilaria PozzatoJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia.ORCID 0000-0002-8752-1460
Susanne MearesDepartment of Psychology, Macquarie University, Sydney, New South Wales, Australia.ORCID 0000-0002-3859-9974
Annette KifleyJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia.
Ashley CraigJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia.ORCID 0000-0001-7647-7604
Mark GillettEmergency Department, Royal North Shore Hospital, Sydney, New South Wales, Australia.
Kim Van VuJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia.
Anthony LiangJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia.
Ian CameronJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia.
Bamini GopinathJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, New South Wales, Australia bamini.gopinath@sydney.edu.au.ORCID 0000-0003-3573-359X
The University of Sydney · AUMacquarie University · AURoyal North Shore Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo establish the proportion of mild traumatic brain injury (mTBI) diagnosis among people presenting to an emergency department (ED), to determine the accuracy of recorded ED diagnoses. We also aimed to describe challenges in mTBI case identification and its acute hospital management. DESIGN AND

settingA retrospective chart review of all ED attendances to a major trauma hospital, over a 9-month period (June 2015-February 2016).

participantsAdults aged 18-65 years consecutively presenting to an ED. PRIMARY OUTCOME MEASURES: Proportion of mTBI diagnosis among ED attendances (ie, confirmed mTBI based on the WHO criteria or indeterminate mTBI based on secondary criteria), and proportion of accurately recorded mTBI diagnosis by ED clinicians (ie, 'mTBI', 'concussion').

resultsOf 30 479 ED attendances, 351 (1.15%) confirmed mTBI diagnosis and 180 (0.6%) indeterminate diagnosis were identified. Only 81 (23.1%) individuals with a confirmed mTBI had a 'mTBI diagnosis' clearly recorded in the medical notes. Of the allocated discharge diagnosis codes to the two identified cohorts, 89.8% were not indicative of mTBI. Intracranial injuries were found in 31 (8.5%) confirmed cases. Glasgow Coma Scale scores were consistently assessed in the ED but identified only 117 (33.3%) confirmed mTBI cases. Post-traumatic amnesia (PTA) testing was able to confirm acute cognitive impairment in 113 (62.1%) of those who were tested (182, 51.3%).

conclusionsmTBI is a common, but an under-recognised cause for ED attendance. Despite challenges, the use of an operational definition such as the WHO diagnostic criteria can improve accuracy in mTBI identification. Acute management may be enhanced by rapid assessment of PTA.

Indexed as

Brain ConcussionEmergency Service, HospitalAdolescentAdultAgedAustraliaFemaleGlasgow Coma ScaleHumansMaleMiddle AgedRetrospective StudiesYoung Adultaccident & emergency medicineepidemiologyneurological injurypublic healthtrauma management

Identifiers

PMID32019818
PMCPMC7045153
OpenAlexW3005346411

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.