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Record W4386289560 · doi:10.2147/ijwh.s421956

Evaluation of Guidelines and Consensus on Ectopic Pregnancy Based by AGREE II Method

2023· article· en· W4386289560 on OpenAlexaboutno aff
Yiran Fu, Weishe Zhang, Qi Wang, Caihong Hu, Qi Li, Jingrui Huang

Bibliographic record

VenueInternational Journal of Women s Health · 2023
Typearticle
Languageen
FieldMedicine
TopicEctopic Pregnancy Diagnosis and Management
Canadian institutionsnot available
FundersChina Postdoctoral Science FoundationNational Natural Science Foundation of China
KeywordsCLARITYGuidelineEctopic pregnancyMedicineClinical PracticeFamily medicineIndependence (probability theory)GynecologyMedical physicsPregnancyPathology

Abstract

fetched live from OpenAlex

Introduction: To evaluate the methodological quality of diagnosis and treatment guidelines/consensus related to ectopic pregnancy. Materials and methods: Use the "Appraisal of Guidelines and Research and Evaluation" (AGREE II) method to evaluate the differences among the guideline/consensus. Results: We appraised 9 clinical practice guidelines for ectopic pregnancy (9 clinical practice guidelines from 5 countries) including the United States, United Kingdom, Ireland, Canada, and China. The guidelines received the highest scores for clarity of presentation (82.72%) and lowest scores for editorial independence (30.56%). The comprehensive recommendations of the 7 guidelines were Grade B, the other 2 guidelines were Grade C. Conclusion: The overall quality of the ectopic pregnancy guidelines had room for improvement. It is recommended to supplement and improve the four fields of "independence", "rigor", "participants" and "application", especially the "independence" and "application" fields.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.923
Threshold uncertainty score0.233

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.140
GPT teacher head0.469
Teacher spread0.329 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations2
Published2023
Admission routes1
Has abstractyes

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