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P-050 High Rates of Steroid Dependence Amongst IBD Patients

2013· article· en· W2334596762 on OpenAlexaffabout
Gert Van Assche, Alain Bitton, Brian Bressler, Shane Devlin, Richard Fedorak, Remo Panaccione, Richmond Sy, Kristina Csukly, Bernie D. Sattin, John K. Marshall

Bibliographic record

VenueInflammatory Bowel Diseases · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsMcMaster UniversityOttawa HospitalUniversity of AlbertaUniversity of British ColumbiaUniversity of CalgaryMcGill University Health CentreUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsPrednisoneMedicineAdverse effectSteroid useDiseaseSteroidInternal medicinePediatrics

Abstract

fetched live from OpenAlex

Corticosteroids are effective for induction of clinical remission in inflammatory bowel disease (IBD), but are neither safe nor effective for maintenance of remission. Given their adverse effects and association with poor long-term outcomes, minimization of steroid use is a goal of therapy, and the use of steroid-sparing agents is indicated in patients that are steroid-dependent. We examined the patterns of steroid utilization within Canada. Health claims data was purchased from IMS Brogan (including regional-private and national-private aggregate, and two different public plans). These databases do not contain ICD-9 codes and did not allow for differentiation of IBDs. As 5-ASA is a unique therapy for IBD, patients were indexed based on a claim for 5-ASA in the first month and followed for 12 consecutive months. We measured steroid utilization amongst 5-ASA claimants as follows: Fraction with ≥ 2 prednisone claims/year, fraction with a first and last prednisone claim >90 days apart, and median days elapsed between first and last prednisone claim in those with ≥ 2 prednisone claims. Utilization was characterized amongst different database types (public/private), genders, calendar years, age categories, and concomitant IBD therapies. The databases comprised 19,613 patients with a claim for a 5-ASA product in January 2011. The group was ∼50% male, and 70% were aged 20–65 years old. The median number of 5-ASA claims was 8/year. The patterns of steroid utilization were generally consistent between the databases (see Table 1), with little variation across database type, gender, or calendar years. However, geriatric claimants (aged >65) in the Quebec-public database had higher rates of steroid use than the other groups. Overall, 58%–73% of patients with a claim for 5-ASA and prednisone have ≥ 2 claims for prednisone. Within this group, at least half the claimants (53%–69%) had >90 days between their first and last prednisone claim, with a median time between the first and last prednisone claim ranging from 103 to 222 days. Some prednisone claimants (∼40%) also had claims for steroid-sparing therapies. After excluding those with any immunosuppressive or biologic claim, the rates of steroid dependence remained largely unchanged. Multiple treatment guidelines define steroid-dependence as: An inability to completely taper steroids within 90 days of initiation, frequent use of steroid courses (>1 course/year), and/or relapse within 3 months of stopping. The 3 measures of steroid utilization used in this analysis approximate that definition, although not without caveats. After excluding those with claims for steroid-sparing therapies, prednisone-claimants had a median of 2–4 prednisone claims per year. They also had a median time between first and last prednisone claim of at least 100 days, and more than 52% had a claim for prednisone >90 days apart. Any of these measures taken individually suggests a prevalence of steroid-dependence despite access to steroid-sparing therapies. The data suggest that >50% of patients on 5-ASA that are prescribed prednisone become steroid-dependent within 1 year. Steroid-sparing therapies appear underused in this group of patients, and show little change despite a shifting treatment paradigm.

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)0.004
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 score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.005
GPT teacher head0.216
Teacher spread0.211 · 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".

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Citations0
Published2013
Admission routes2
Has abstractyes

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