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Record W2124171386 · doi:10.1373/clinchem.2012.185850

Applicability of the AGREE II Instrument in Evaluating the Development Process and Quality of Current National Academy of Clinical Biochemistry Guidelines

2012· article· en· W2124171386 on OpenAlex
Andrew Don-Wauchope, John L. Sievenpiper, Stephen Hill, Alfonso Iorio

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical Chemistry · 2012
Typearticle
Languageen
FieldMedicine
TopicClinical practice guidelines implementation
Canadian institutionsMcMaster UniversityHamilton Regional Laboratory Medicine Program
Fundersnot available
KeywordsCLARITYGuidelineQuality (philosophy)MedicineClinical PracticeMedical physicsMedical educationScale (ratio)Scope (computer science)PsychologyFamily medicineComputer sciencePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Laboratory medicine practice guidelines (LMPGs) are an important part of clinical laboratory medicine. The Appraisal of Guidelines for Research and Evaluation II (AGREE II) instrument has been developed to evaluate the process of practice-guideline development and the quality of reporting. We assessed the applicability of AGREE II in assessing the National Academy of Clinical Biochemistry (NACB) LMPGs. METHODS: The NACB website was searched for all available LMPGs up to December 2011. Two independent appraisers used the AGREE II instrument to assess each LMPG identified by the search. Quality was assessed across 6 domains (scope and purpose, stakeholder involvement, rigor of development, clarity of presentation, applicability, and editorial independence), comprising a total of 23 items and 2 overall assessments, each scored on a 7-point scale (1, strongly disagree, to 7, strongly agree). All scores were expressed as AGREE II calculated percentages (100% indicates that all items scored 7 by all appraisers). RESULTS: Eleven LMPGs were identified. All of the LMPGs provided some information seen as applicable to clinical practice by the appraisers. Only 5 of the LMPGs had overall scores ≥50%, with a median score of 42% (range: 8%-92%). Individual domain scores varied considerably from 0% to 100%. One guideline achieved a very high score on the instrument. CONCLUSIONS: The AGREE II instrument is applicable and useful to evaluate LMPGs. All domains were evaluated as being useful to assess LMPGs, some were addressed well (e.g., clarity of presentation), whereas others could be improved (e.g., applicability).

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.

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)0.024
metaresearch head score (Gemma)0.092
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.916

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.092
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.782
GPT teacher head0.687
Teacher spread0.095 · 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