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Record W1525289100 · doi:10.1155/2003/235683

Risk Factors of Poor Prognosis after Whiplash Injury

2003· article· en· W1525289100 on OpenAlex
Samy Suissa

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePain Research and Management · 2003
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsMcGill University
Fundersnot available
KeywordsWhiplashWhiplash injuryMedicinePhysical medicine and rehabilitationEmergency medicinePoison control

Abstract

fetched live from OpenAlex

Whiplash, a common injury following motor vehicle crashes, is associated with high costs and a prognosis that is variable and difficult to predict. In this paper, we review findings from the Quebec cohort epidemiological study on predictive factors of recovery from whiplash injury after a motor vehicle crash. We formed a population-based incident cohort of all 4,759 individuals who sustained a whiplash injury resulting from a motor vehicle crash in the province of Québec, Canada, in 1987, and followed these patients for up to seven years. The data were obtained from the universal automobile insurance plan (SAAQ) that covers all seven million residents of the Province for all vehicular-related injuries. From this cohort, we formed the cohort of 3,014 for whom a police report was completed. For this cohort, we obtained data on crash-related factors directly from the police report. We also formed the cohort of 2,627 subjects who had strictly a whiplash injury, without associated injuries. For this cohort, the data on signs and symptoms were obtained from the medical charts kept by the SAAQ. For both cohorts, data on the outcome, the recovery time from whiplash, was obtained from the SAAQ databases. The crash-related cohort study found that socio-demographic factors associated with a longer recovery from whiplash include older age, female sex, having dependents and not being employed full time and that each decreases the rate of recovery by 14 to 16 per cent. Factors related to the crash conditions indicate that being in a truck or bus, with a decrease of 52% in the rate of recovery, being a passenger in the vehicle (15%), colliding with a moving vehicle (16%), and a side or frontal collision (15%) all decrease the rate of recovery. We introduce a combined risk score that predicts longer recovery. In the cohort of subjects with signs and symptoms, the median recovery time was 32 days and 12% of subjects had still not recovered after 6 months. The signs and symptoms that were found to be independently associated with a slower recovery from whiplash, besides female gender and older age, were neck pain on palpation; muscle pain; pain or numbness radiating from neck to arms, hands or shoulders; and headache. Together, the presence of all these factors in females aged 60 predicted a median recovery time of 262 days, compared with 17 days for younger males aged 20 who do not have any of these factors. In contrast, using the Quebec classification of signs and symptoms, the median recovery time varied from 17 to 123 days. We conclude that several socio-demographic and crash-related factors, as well as several signs and symptoms, including a combination of specific musculoskeletal and neurological ones that whiplash patients present with, are predictive of a longer recovery period. These patients should be targeted for an early intervention programme aimed at managing whiplash patients with a poor prognosis.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.228

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.338
Teacher spread0.313 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it