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Record W2789715380 · doi:10.1093/jcag/gwy009.132

A132 DEVELOPMENT OF THE TUMMY-CD, A SYMPTOMS-BASED DISEASE ACTIVITY PATIENT REPORTED OUTCOME (PRO) FOR PEDIATRIC CROHN’S DISEASE

2018· article· en· W2789715380 on OpenAlexaffabout
Melissa Crane, Amy Grant, Jeffrey S. Hyams, Nicholas M. Croft, David R. Mack, Séamus Hussey, Francisco Sylvester, H Huynh, Dan Turner, Anthony Otley

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of AlbertaDalhousie UniversityUniversity of OttawaIzaak Walton Killam Health Centre
Fundersnot available
KeywordsMedicineDiseaseAbdominal painCrohn's diseaseVomitingNauseaPopulationPediatricsPhysical therapyInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

In accordance with recent regulatory guidance which mandates patient reported outcomes (PRO) [without a proxy] for use in clinical trials, elucidating the signs and symptoms that children with Crohn’s disease deem important when referencing their level of disease activity is important. We now report the first stage in developing the TUMMY-CD index, a PRO for pediatric Crohn’s disease. Concept elicitation interviews were performed with children and teens who have Crohn’s disease and their caregivers in 9 international centers (Canada, USA, Ireland, UK, Israel). Interviews were recorded, transcribed verbatim, and analysed using qualitative analytic techniques. Items were ranked based on frequency of endorsement and rated level of importance according to participants. Items endorsed in over 6% of participants will be carried forward to Phase 2 of study. Disease activity was categorized using the Pediatric Crohn’s Disease Activity Index (PCDAI). A population of 59 children aged 4–17 years (52% male, 80% inactive disease, 14% mild disease, 6% moderate to severe disease), and 56 caregivers were interviewed. Of the signs and symptoms reported, 13 were endorsed in over 6% of participants in either the child or caregiver group. The items that will be explored in the next phase of this study, in decreasing order of endorsement are: Abdominal pain (100% child, 83% caregiver), Diarrhea (53% child, 54% caregiver), Fatigue (49% child, 63% caregiver), Appetite (25% child, 36% caregiver), Nausea +/- Vomiting (24% child, 20% caregiver), Bloody Stool (20% child, 34% caregiver), Joint Pain (14% child, 27% caregiver), Weight loss (9% child, 14% caregiver), Perianal Disease (7% child, 4% caregiver), Constipation (5% child, 7% caregiver), Mood (3% child, 13% caregiver), Pallor (3% child, 11% caregiver), and Mouth Sores (3% child, 9% caregiver). No significant difference was found in the symptoms reported by children experiencing higher or lower disease activity, complicated [penetrating and/or stricturing] versus inflammatory disease behavior, or among caregivers with varying levels of education. Children under 7 years had difficulty reporting symptoms, and therefore an Observer Reported Outcome (ObsRO) will be created for this group. From this first stage of the development of the TUMMY-CD Index, 13 signs and symptoms were significantly endorsed by children with Crohn’s disease and their caregivers. These items will be explored in a second phase, where vocabulary and response options will be determined. Once validated, the TUMMY-CD Index can supplement objective outcome measures in future clinical trials. NASPGHAN Foundation; Investigator-initiated Grant from AbbVie

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)0.031
metaresearch head score (Gemma)0.031
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: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.031
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.031
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 integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.010
GPT teacher head0.233
Teacher spread0.222 · 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 designNot applicable
Domainnot available
GenreMethods

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

Citations3
Published2018
Admission routes2
Has abstractyes

Explore more

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