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Record W2135755716

Corticosteroid injections and arthrocentesis.

2002· article· en· W2135755716 on OpenAlexaff
Paul Dooley, Rod A. Martin

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineArthrocentesisCorticosteroidClinical PracticeIntensive care medicinePhysical therapySurgeryAlternative medicinePathologyOsteoarthritisSynovial fluid
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To review current standards of practice of arthrocentesis and corticosteroid injections in soft tissue and joints in managing common musculoskeletal conditions. To outline common indications, contraindications, and possible complications of these therapeutic modalities and to describe common techniques used in them. QUALITY OF EVIDENCE: Many of our recommendations are based on expert opinion and surveys of clinical practice by experts in the field. Where appropriate, randomized controlled trials are used to support various aspects of corticosteroid injection and joint aspiration. MAIN MESSAGE: Many complaints to primary care physicians are musculoskeletal in origin, and many are related to infectious or inflammatory conditions of joints or soft tissues. Arthrocentesis and intra-articular and soft tissue corticosteroid injection are therapeutic techniques readily available to family practitioners. There is no consensus on best practice for patient preparation, choice of corticosteroid, or specific injection technique. There are, however, accepted standards of practice and universal precautions. CONCLUSION: Family physicians have an important role in managing many common musculoskeletal conditions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.029
GPT teacher head0.219
Teacher spread0.190 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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

Citations23
Published2002
Admission routes1
Has abstractyes

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