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Referee report. For: Effectiveness of quality improvement strategies for type 1 diabetes in children and adolescents: a systematic review protocol [version 1; peer review: 1 approved, 1 approved with reservations]

2024· article· en· W4416465363 on OpenAlexfundno aff
Jennifer L Raymond

Bibliographic record

VenueFaculty of 1000 Research Ltd · 2024
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsnot available
FundersPublic Health AgencyUniversity of Ottawa
KeywordsType 1 diabetesProtocol (science)Quality managementQuality (philosophy)MEDLINE

Abstract

fetched live from OpenAlex

Introduction: Optimal glycaemic control is often a challenge in children and adolescents with type 1 diabetes (T1D). Implementation of patient, clinician or organisation-targeted quality improvement (QI) strategies has been proven to be beneficial in terms of improving glycaemic outcomes in adults living with diabetes. This review aims to assess the effectiveness of such QI interventions in improving glycaemic control, care delivery, and screening rates in children and adolescents with T1D. Methods and analysis: MEDLINE, EMBASE, CINAHL and Cochrane CENTRAL databases will be searched for relevant studies up to January 2021. Trial registries, ClinicalTrials.gov and ICTRP, will also be explored for any ongoing trials of relevance. We will include trials which examine QI strategies as defined by a modified version of the Cochrane Effective Practice and Organisation of Care 2015 Taxonomy in children (<18 years) with a diagnosis of T1D. The primary outcome to be assessed is glycated haemoglobin (HbA1c), although a range of secondary outcomes relating to clinical management, adverse events, healthcare engagement, screening rates and psychosocial parameters will also be assessed. Our primary intention is to generate a best-evidence narrative to summarise and synthesise the resulting studies. If a group of studies are deemed to be highly similar, then a meta-analysis using a random effects model will be considered. Cochrane Risk of Bias 1.0 tool will be applied for quality assessment. All screening, data extraction and quality assessment will be performed by two independent researchers. Dissemination: The results of this review will be disseminated through peer-reviewed publication in order to inform invested partners (e.g., Paediatric Endocrinologists) on the potential of QI strategies to improve glycaemic management and other related health outcomes in children with T1D, thereby guiding best practices in the outpatient management of the disorder. PROSPERO registration number: CRD42021233974 (28/02/2021).

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)0.072
metaresearch head score (Gemma)0.571
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.928
Threshold uncertainty score0.755

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0720.571
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0090.009
Bibliometrics0.0100.012
Science and technology studies0.0050.002
Scholarly communication0.0070.007
Open science0.0050.006
Research integrity0.0150.009
Insufficient payload (model declined to judge)0.4710.089

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 head0.068
GPT teacher head0.436
Teacher spread0.368 · 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.

Study designNot applicable
DomainEvaluation
GenreCommentary

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".

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Citations0
Published2024
Admission routes1
Has abstractno

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