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Record W6986380124

Physical therapy treatment of a patient with unilateral hip osteoarthritis: a case analysis

2019· other· en· W6986380124 on OpenAlexaboutno aff

Bibliographic record

VenueCSUN ScholarWorks (California State University, Northridge) · 2019
Typeother
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell Image Analysis Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsOsteoarthritisSquatQuality of life (healthcare)Range of motionManual therapyGaitBalance (ability)Psychological intervention
DOInot available

Abstract

fetched live from OpenAlex

A patient with right hip osteoarthritis was seen for physical therapy treatment 1x/week for 6 weeks in an outpatient clinic.Treatment was provided by a student physical therapist under supervision of a licensed physical therapist.The patient was evaluated at the initial encounter with goniometry, the numeric pain rating scale, single leg stance time, squat performance, the Western Ontario and McMaster's Universities Osteoarthritis Index, the patient-specific functional scale, and patient report on work performance.The patient problems included: gait deviations, pain, reduced hip range of motion, decreased balance and motor control, disturbed sleep, decreased function in ADLs, and reduced work participation.Main goals for the patient were to improve range of motion, decrease pain, improve functional strength, improve sleep, decrease activity limitations, and improve work performance.Main interventions used were joint mobilizations, soft tissue massage, stretching, strengthening exercises, and education.vi The patient improved in range of motion, pain level, quality of sleep, ability to complete activities of daily living, and work performance.The patient was discharged to continue living at home with a home exercise program.

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 score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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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