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Record W3093345002

The Effect of Osteopathic Manual Treatment on Concussion Injury Rehabilitation

2019· dissertation· en· W3093345002 on OpenAlexfundno aff
Leah Danielle Henderson

Bibliographic record

VenueYork University Digital Library (York University) · 2019
Typedissertation
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
FundersMcMaster University
KeywordsConcussionMedicinePhysical therapyCerebral blood flowPopulationRehabilitationPhysical medicine and rehabilitationInternal medicinePoison controlInjury preventionEmergency medicine
DOInot available

Abstract

fetched live from OpenAlex

Duplex-Doppler ultrasonography was used to identify changes in blood flow velocity and volume as a result of concussion; and the Sport Concussion Assessment Tool, 5th Edition (SCAT5) was used to determine the effect of osteopathic manual treatment (OMT) on participant recovery. Ten healthy participants (mean age 24.70 yrs, n= 5 female) and thirteen symptomatic concussed participants (mean age 26.54 yrs, n= 7 female) were recruited and screened using a health questionnaire and the SCAT5. Significant differences between healthy versus concussed individuals for the SCAT5 total number of symptoms, t(15.51) = 3.11, p = .008, and SCAT5 symptom severity, t(13.15) = 3.33, p = .005 were found. There was a trend toward decreased cerebral blood flow velocity (CBFV) between healthy versus concussed individuals, t(21) = 1.41, p = 0.17. These results provide support that OMT may improve cerebral hemodynamics and decrease symptom burden and severity in a concussed population.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.724
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.011
GPT teacher head0.240
Teacher spread0.229 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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