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Record W2792926804 · doi:10.1093/jcag/gwy009.122

A122 CHARACTERIZING A LOST-TO-FOLLOW-UP COHORT AMONGST PATIENTS DIAGNOSED WITH PEDIATRIC ONSET INFLAMMATORY BOWEL DISEASE IN THE PEDIATRIC TO ADULT TRANSFER OF CARE.

2018· article· en· W2792926804 on OpenAlexaffabout
Natasha Bollegala, Eric I. Benchimol, Anne M. Griffiths, Adrienne H. Kovacs, Hillary Steinhart, Xiaoling Zhao, Geoffrey C. Nguyen

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2018
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsUniversity of TorontoMount Sinai HospitalUniversity of OttawaHospital for Sick ChildrenChildren's Hospital of Eastern OntarioWomen's College Hospital
Fundersnot available
KeywordsMedicineInflammatory bowel diseaseCohortUlcerative colitisRetrospective cohort studyAmbulatoryYoung adultPediatricsDiseasePopulationCohort studyAmbulatory careHealth careInternal medicine

Abstract

fetched live from OpenAlex

Pediatric onset inflammatory bowel disease (IBD) is a high-risk phenotype that requires transfer to an adult gastroenterologist at age 18. Under-developed emotional and cognitive skills in the transition-aged population can affect adherence rates, especially during periods of remission. A recent study evaluating patients with pediatric onset IBD requiring transfer of care to an adult gastroenterologist identified a relatively large lost to adult gastroenterology (GI) follow-up (LTF) group. The purpose of this study was to characterize those patients with pediatric onset IBD who are LTF in the first five years of adult care and identify risk factors for their non-compliance. This was a population-based retrospective cohort study using health care administrative data from Ontario, Canada. A cohort of patients with pediatric onset IBD was identified and health resource utilization during a 5-year post-transfer period was analyzed. Patients LTF were compared to those patients actively followed by a gastroenterologist in terms of health resource utilization. The primary outcome of this study comprised Emergency Department (ED) utilization. Secondary outcomes included hospitalizations, surgeries, ambulatory visits, endoscopic and radiological investigations. 2043 patients with pediatric onset IBD were identified. 1696 were followed by an adult GI in the post-transfer period. 306 patients were never seen by an adult GI. 41 patients were never seen by any adult health care provider in the post-transfer period. Patients in the loss to follow-up group were significantly younger, more likely to be male, have ulcerative colitis (UC) and reside in an urban environment. Overall, there were no significant differences found in ED use, total ambulatory care visits (aside from the expected drop amongst GI follow-up), hospitalizations, endoscopic procedures or radiological procedures between exposure groups. Multivariable negative binomial logistic regression revealed that the LTF group was less likely to be seen in the ED and admitted to hospital. A relatively large LTF group with pediatric onset IBD was characterized in this study. 5-year follow-up reveals no evidence of increased health resource utilization. More work is needed to further define this population, identify barriers to follow-up and whether outcomes such as quality of life, productivity etc. are affected by their non-compliance. CCC

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)0.000
metaresearch head score (Gemma)0.002
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 score0.194
Threshold uncertainty score0.386

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.273
Teacher spread0.262 · 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

Citations0
Published2018
Admission routes2
Has abstractyes

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