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Record W2113664090 · doi:10.2522/ptj.2014.94.6.753

Roadmap for Publishing Clinical Practice Guidelines in PTJ

2014· editorial· en· W2113664090 on OpenAlexaboutno aff
Philip van der Wees, James J. Irrgang

Bibliographic record

VenuePhysical Therapy · 2014
Typeeditorial
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsnot available
Fundersnot available
KeywordsClinical PracticePublishingMedicineAlternative medicineMEDLINEBest practiceMedical educationExecutive summaryPolitical scienceFamily medicineBusinessPathology

Abstract

fetched live from OpenAlex

Development and implementation of clinical practice guidelines (CPGs) are the focus of policy for many professional bodies. The Institute of Medicine (IOM) defines clinical practice guidelines (CPGs) as “statements that include recommendations intended to optimize patient care that are informed by a systematic review of evidence and an assessment of the benefits and harms of alternative care options.”1 The American Physical Therapy Association (APTA) stimulates the development of CPGs by providing training and financial support for their development. To be eligible for that support, the CPG must be produced with the active involvement and sponsorship of an APTA section.2 PTJ has published practice guidelines (eg, the Ottawa Panel Evidence-Based Clinical Practice Guidelines3–8); however, PTJ did not have a specific policy regarding the review and publication of guidelines. During the PTJ Editorial Board meeting at APTA Combined Sections Meeting in February, the Editorial Board considered options for publishing CPGs in a structured and systematic way, with the aim of stimulating the dissemination and use of CPGs. Several examples of such initiatives exist. Within the field of physical therapy, the Orthopedic Section of APTA publishes guidelines in collaboration with the Journal of Orthopaedic and Sports Physical Therapy (JOSPT). Examples from other professions include the American College …

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)0.011
metaresearch head score (Gemma)0.397
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.397
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.003
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 head0.377
GPT teacher head0.616
Teacher spread0.239 · 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
GenreEditorial

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

Citations2
Published2014
Admission routes1
Has abstractyes

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