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Record W2044452751 · doi:10.1097/bor.0b013e3283503361

Splinting and hand exercise for three common hand deformities in rheumatoid arthritis

2012· review· en· W2044452751 on OpenAlexaff
Barbara J. Porter, Asuko Brittain

Bibliographic record

VenueCurrent Opinion in Rheumatology · 2012
Typereview
Languageen
FieldMedicine
TopicRheumatoid Arthritis Research and Therapies
Canadian institutionsVancouver Coastal HealthArthritis Research Centre of CanadaVancouver Coastal Health Research Institute
Fundersnot available
KeywordsMedicineRheumatoid arthritisPhysical therapyPhysical medicine and rehabilitationSplintsEvidence-based medicineQuality of life (healthcare)MEDLINEIntensive care medicineSurgeryAlternative medicineNursing

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Hand deformities (ulnar drift, swan neck and boutonniere) are prevalent in rheumatoid arthritis and develop early in the disease process. These deformities cause significant functional impairment and impact quality of life. This review will provide a clinical perspective using the most recent evidence regarding the role of splinting and hand exercise in their management. The pathomechanics and functional consequences of these deformities are also described. RECENT FINDINGS: Patients tend to under-report their hand problems and are often reluctant to seek treatment for their deformities. There is limited evidence to support or refute the role of splinting and hand exercises in their management. Clinical experience suggests splinting and hand exercise are most beneficial when prescribed for early, flexible deformities. SUMMARY: More research is required to guide clinicians on the most effective approach to the management of these three hand deformities. It is imperative that clinicians assess for and recognize these deformities in order to ensure timely and appropriate treatment. Until more evidence becomes available, an evidenced-informed approach is recommended.

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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.916
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.100
GPT teacher head0.387
Teacher spread0.287 · 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 designOther design
Domainnot available
GenreReview

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

Citations19
Published2012
Admission routes1
Has abstractyes

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