Evidence map›Paper›PMID 35765917›Full record

ArticleJournal of neurotrauma2022

Post-Concussion Symptoms Rule: Derivation and Validation of a Clinical Decision Rule for Early Prediction of Persistent Symptoms after a Mild Traumatic Brain Injury.

Natalie Le Sage, Jean-Marc Chauny, Simon Berthelot, Patrick Archambault, Xavier Neveu, Lynne Moore, Valérie Boucher, Jérôme Frenette, Élaine De Guise, Marie-Christine Ouellet and 9 more

Abstract readMulticenter Study
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 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

19 authors.

Natalie Le SageCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Jean-Marc ChaunyDepartment of Emergency Medicine, Université de Montréal, Quebec, Canada.
Simon BerthelotCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Patrick ArchambaultCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Xavier NeveuCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Lynne MooreCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Valérie BoucherCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Jérôme FrenetteCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Élaine De GuiseDepartment of Emergency Medicine, McGill University, Québec, Canada.
Marie-Christine OuelletCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Jacques LeeDepartment of Emergency Medicine, University of Toronto, Ontario, Canada.
Andrew D McRaeDepartment of Emergency Medicine, University of Calgary, Alberta, Canada.
Eddy LangDepartment of Emergency Medicine, University of Calgary, Alberta, Canada.
Marcel ÉmondCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Éric MercierCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Pier-Alexandre TardifCHU de Québec-Université Laval Research Centre, Université Laval, Québec, Canada.
Bonnie SwaineDepartment of Emergency Medicine, Université de Montréal, Quebec, Canada.
Peter CameronDepartment of Epidemiology and Preventive Medicine, Monash University Melbourne, Victoria, Australia.
Jeffrey J PerryDepartment of Emergency Medicine, Ottawa Hospital Research Institute, Ontario, Canada.

Funding

CIHR 127055CIHR 366162
6 · The paper itself

Abstract

Mild traumatic brain injury (mTBI) is a common problem. Depending on diagnostic criteria, 13 to 62% of those patients develop persistent post-concussion symptoms (PPCS). The main objective of this prospective multi-center study is to derive and validate a clinical decision rule (CDR) for the early prediction of PPCS. Patients aged ≥14 years were included if they presented to one of our seven participating emergency departments (EDs) within 24 h of an mTBI. Clinical data were collected in the ED, and symptom evolution was assessed at 7, 30 and 90 days post-injury using the Rivermead Post-Concussion Questionnaire (RPQ). The primary outcome was PPCS at 90 days after mTBI. A predictive model called the Post-Concussion Symptoms Rule (PoCS Rule) was developed using the methodological standards for CDR. Of the 1083 analyzed patients (471 and 612 for the derivation and validation cohorts, respectively), 15.6% had PPCS. The final model included the following factors assessed in the ED: age, sex, history of prior TBI or mental health disorder, headache in ED, cervical sprain and hemorrhage on computed tomography. The 7-day follow-up identified additional risk factors: headaches, sleep disturbance, fatigue, sensitivity to light, and RPQ ≥21. The PoCS Rule had a sensitivity of 91.4% and 89.6%, a specificity of 53.8% and 44.7% and a negative predictive value of 97.2% and 95.8% in the derivation and validation cohorts, respectively. The PoCS Rule will help emergency physicians quickly stratify the risk of PPCS in mTBI patients and better plan post-discharge resources.

Indexed as

Brain ConcussionPost-Concussion SyndromeAftercareClinical Decision RulesHumansPatient DischargeProspective Studiesclinical decision ruleconcussionmild traumatic brain injury (mTBI)persistent post-concussion symptomsscreening tool

Identifiers

PMID35765917
PMCPMC9529302

What OpenQuestion holds

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LicenceCC BY-NC
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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.