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Record W4206972037 · doi:10.1093/ecco-jcc/jjab232.716

P590 Thromboprophylaxis use in paediatric inflammatory bowel disease: an international RAND appropriateness panel

2022· article· en· W4206972037 on OpenAlexaff
Richard Hansen, Susanna Meade, Franco Torrente, Jochen Kammermeier, Nicholas M. Croft, Lissy de Ridder, D C Wilson, R Klomberg, Dan Turner, Javier Martín‐de‐Carpi, Jiří Bronský, Eric I. Benchimol, Jorge Amil Dias, David Mack, Gregor Walker, Michael Powar, Natasha Burgess, C. Heleen van Ommen, Peter M. Irving, Mark Samaan

Bibliographic record

VenueJournal of Crohn s and Colitis · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsChildren's Hospital of Eastern OntarioSickKids FoundationUniversity of OttawaHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseUlcerative colitisDiseaseFamily medicineCrohn's diseaseMEDLINEIntensive care medicinePediatricsInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Thromboprophylaxis is routinely used in adults with active inflammatory bowel disease (IBD), particularly inpatients, but not in children. Current ECCO/ESPGHAN guidelines support thromboprophylaxis only in children with acute severe colitis (ASC) with risk factors (RFs).1 We convened an international RAND panel to explore thromboprophylaxis in paediatric IBD (PIBD) inpatients. Methods We convened a 13-person voting panel of geographically diverse paediatric gastroenterologists alongside experts in RAND methodology, IBD surgery, haematology and nursing. Selective pertinent manuscripts were disseminated prior to the meeting. An online survey was sent to all panellists ahead of an online meeting. Panellists were asked to rate the appropriateness of thromboprophylaxis in hospitalised PIBD patients via clinical scenarios of varying ages, gender, and extent of ulcerative colitis (UC) and Crohn’s disease (CD) with and without RFs. Anonymised results were presented at the meeting. A second modified survey of 27 scenario-based statements was distributed to all panellists present at the meeting with three options each: offer no thromboprophylaxis; offer until discharge; offer until clinical remission. Results from the second survey constitute the RAND panel results. The validated RAND disagreement index (DI) defined disagreement when DI ≥1. Results The combined outcome of thromboprophylaxis being considered appropriate until discharge and inappropriate to withhold was seen in 20/27 scenarios, including all patients with new-onset ASC, irrespective of pubertal status or sex (Fig 1); all flares of known UC, irrespective of sex, or the presence/absence of RFs with the exception of pre-pubescent patients with limited disease and no risk factors (Fig 2); and CD patients with RFs, irrespective of pubertal status or sex (Fig 3). Thromboprophylaxis was always considered uncertain until clinical remission. Disagreement was only seen in 4/12 scenarios regarding CD without RFs where most options were also uncertain, particularly in those with limited ileal disease (Fig 3, * = DI ≥1). Conclusion RAND panels are an established method to assess expert opinion in areas of limited evidence. This work therefore constitutes neither a guideline nor a consensus; however, the findings suggest a need to re-evaluate the role of thromboprophylaxis in the next iteration of PIBD guidelines. Specifically, thromboprophylaxis was considered appropriate until discharge in all patients with active UC, irrespective of RFs except in pre-pubescent children with limited disease. Thromboprophylaxis was considered appropriate in CD with RFs but there was uncertainty in CD without RFs, particularly in limited ileal disease. Reference 1. Turner D, et al. JPGN 2018; 67: 293–310.

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)0.041
metaresearch head score (Gemma)0.077
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.219

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0410.077
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.011
GPT teacher head0.233
Teacher spread0.221 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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".

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Citations1
Published2022
Admission routes1
Has abstractyes

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