MétaCan
Menu
Back to cohort
Record W4414059678 · doi:10.2196/67930

Pain, Agitation, Delirium, and Iatrogenic Withdrawal Syndrome Management in Children Who Are Critically Ill: Protocol for a European Clinical Practice Guideline Using the Grading of Recommendations Assessment, Development, and Evaluation Approach

2025· article· en· W4414059678 on OpenAlexvenueno aff
Ibo MacDonald, Alexia Trombert, Cécile Jaques, Gwenaëlle De Clifford‐Faugère, Pieter De Cock, Saskia N. de Wildt, Dmytro Dmytrіiev, Juliane Engel, Paola Claudia Fazio, Isabelle Goyer, Julia Harris, Klára Horváth, Erwin Ista, Santiago Mencía, Tuuli Metsvaht, Maria Cristina Mondardini, Mehdi Oualha, Marie‐Hélène Perez, Krzysztof Pietrzkiewicz, Francesca Sperotto, Benjamin Wyness, Angela Amigoni, Anne‐Sylvie Ramelet

Bibliographic record

VenueJMIR Research Protocols · 2025
Typearticle
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsnot available
Fundersnot available
KeywordsGuidelineClinical PracticeProtocol (science)Grading (engineering)MEDLINEClinical trial

Abstract

fetched live from OpenAlex

BACKGROUND: In pediatric intensive care units, pain, sedation, delirium, and iatrogenic withdrawal syndrome (IWS) must be managed as interrelated conditions. Although clinical practice guidelines (CPGs) exist, new evidence needs to be incorporated, gaps in recommendations addressed, and recommendations adapted to the European context. OBJECTIVE: This protocol describes the development of the first patient- and family-informed European guideline for managing pain, sedation, delirium, and IWS by the European Society of Paediatric and Neonatal Intensive Care. METHODS: This guideline will follow the Grading of Recommendations Assessment, Development, and Evaluation ADOLOPMENT approach across seven phases: (1) setup-establish 3 groups, namely a steering committee, development panel (experts and patient and family partners), and patient and family partner advisory panel, to define guideline scope through voting and consensus; (2) preparation-vote on 30 summary recommendations compiled from existing CPGs of medium quality or above; prioritize new research questions; update the search for CPGs to match new research questions with recommendations using population, intervention, comparator, and outcome elements; prioritize outcomes for effectiveness questions using a 9-point Likert scale; with validation from patient and family partners; (3) evidence identification, analysis, and data extraction-develop individualized search strategies for each research question (2 independent appraisers will select and appraise studies and conduct data extraction); (4) evidence synthesis-expert pairs will summarize findings in evidence profiles and evidence-to-decision (EtD) frameworks (in the absence of evidence, the expert panel will be surveyed to assess current practices); (5) guideline development-expert pairs will draft recommendations, then topic-specific subgroups will reach consensus before full development panel voting (>80% approval needed; subgroups will determine the need for additional supporting content); (6) review-conduct internal, society-level, and external international expert reviews using surveys with Likert scales and open-ended comments; and (7) issue and update-publish the guideline and monitor literature to assess the need for updates before 5 years. RESULTS: In phase 1, a total of 21 clinical experts and 17 patient and family partners were recruited, and the guideline scope was finalized with 80% to 100% agreement. In phase 2, a total of 23 summary recommendations and 17 new research questions (total=40) were selected. The updated CPG search identified 2 low-quality CPGs, which were excluded from recommendation matching. Of the 17 new research questions, 4 matched existing recommendations. Of the 3 effectiveness questions, one had 7 prioritized outcomes, whereas two had 9 outcomes for inclusion in EtD frameworks. The final CPG is expected by spring 2026, with search strategies, EtD frameworks, and recommendations included. CONCLUSIONS: This protocol ensures a transparent Grading of Recommendations Assessment, Development, and Evaluation-based development process, leading to a trustworthy and credible guideline tailored to the European context for managing pain, sedation, delirium, and IWS in children who are critically ill. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/67930.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gptno category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
grokno category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Not applicablehigh
opusno category
Domain: not available · Genre: Protocol
About the Canadian research system: no · About a Canadian topic: no
Other designmedium
models splitAgreement compares identical category sets and study designs across arms.

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)0.109
metaresearch head score (Gemma)0.176
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: Not applicable
GenreCandidate signal: Protocol · Consensus signal: Protocol
Teacher disagreement score0.109
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1090.176
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0070.014
Bibliometrics0.0080.009
Science and technology studies0.0040.004
Scholarly communication0.0080.004
Open science0.0070.006
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0180.008

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 head0.220
GPT teacher head0.597
Teacher spread0.377 · 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

Labeled directly by 3 models reading the full record.

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

The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.

Study designNot applicable · Other design
Domainnot available
GenreProtocol

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

Citations4
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJMIR Research ProtocolsSame topicIntensive Care Unit Cognitive DisordersFrench-language works237,207