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Record W3136495182 · doi:10.1097/mpg.0000000000003120

Agreement on Symptoms Between Children With Ulcerative Colitis and Their Caregivers

2021· article· en· W3136495182 on OpenAlexaff
Liron Marcovitch, Gili Focht, Anat Horesh, Adi Shosberger, Jeffrey S. Hyams, Athos Bousvaros, Amy E. Hale, Robert N. Baldassano, Anthony Otley, David Mack, Michael D. Kappelman, Anne M. Griffiths, Dan Turner

Bibliographic record

VenueJournal of Pediatric Gastroenterology and Nutrition · 2021
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of OttawaIzaak Walton Killam Health Centre
Fundersnot available
KeywordsMedicineUlcerative colitisInternal medicineGastroenterologyConfidence intervalDisease

Abstract

fetched live from OpenAlex

ABSTRACT: As part of the development of the TUMMY-UC, a patient-reported outcome (PRO) measure for pediatric ulcerative colitis (UC), we aimed to explore agreement on UC symptoms between children and their caregivers. We conducted 44 interviews with children ages 8-12 years, who completed the PRO version of the TUMMY-UC, and their caregivers, who completed the observer-reported outcome (obsRO) version. There was excellent agreement between the total TUMMY-UC PRO and obsRO scores (intra-class correlation coefficient = 0.92 [95% confidence interval 0.74-0.98]). The obsRO scores were always within the same disease-activity category as the corresponding PRO score (ie, remission, mild and moderate-severe disease). There was a strong correlation of the TUMMY-UC PRO and obsRO scores with physician global assessment of disease activity (r = 0.94 and r = 0.90, respectively, P < 0.001) and the pediatric UC activity index (r = 0.95 and r = 0.96; P < 0.001). These data support conceptual equivalence between the PRO and obsRO TUMMY-UC versions, and provide support for their incorporation into one score.

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)0.007
metaresearch head score (Gemma)0.030
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.030
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.312
Teacher spread0.289 · 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 designObservational
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

Citations7
Published2021
Admission routes1
Has abstractyes

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