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Is Inflammatory Bowel Disease a Risk Factor for Fracture? An Analysis Using the Fracture Risk Assessment Tool (FRAX): 2011 ACG Presidential Poster

2011· article· en· W2977308726 on OpenAlexaffabout
Laura E. Targownik, William D. Leslie, Çharles N. Bernstein, Zoann Nugent

Bibliographic record

VenueThe American Journal of Gastroenterology · 2011
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsFRAXMedicineOsteoporosisInternal medicineFemoral neckInflammatory bowel diseasePopulationBone mineralHip fracturePhysical therapyDiseaseOsteoporotic fractureEnvironmental health

Abstract

fetched live from OpenAlex

Purpose: Persons with inflammatory bowel disease (IBD) have been reported to be at increased risk both of osteoporosis and major osteoporosis fractures (MOF), comprising fractures of the hip, vertebra, distal radius, or humerus. The WHO FRAX score is a risk assessment tool which utilizes age, sex, BMI, clinical risk factors, and femoral neck bone mineral density (BMD) to estimate the 10-year probability of hip fracture (HF) and MOF. It is unclear whether IBD predicts MOF or HF independent of FRAX, whether the increased fracture risk seen in IBD patients is accounted for in the component variables of the FRAX score, or whether the IBD subtype - Crohn's Disease (CD) vs. ulcerative colitis (UC) - have differential effects on the risk of fracture. Methods: We performed an analysis of linked data from the Manitoba Bone Mineral Density Database and the University of Manitoba IBD Epidemiologic Database (UMIBDED). The MBMDD contains information on all Manitobans having undergone clinical testing with dual x-ray absorptiometry (DXA) along with information on other risk factors for fracture, anthropometric measures, FRAX probability scores and medication use. The UMIBDED is a population based database containing healthcare utilization on all Manitobans with IBD. Analysis was restricted to persons over the age of 50. MOF and HF outcomes were ascertained from comprehensive population-based administrative healthcare databases using validated definitions. Multivariate Cox proportional hazards modelling was used to determine whether having a diagnosis of IBD was independently associated with an increased risk of MOF and HF (after controlling for the composite FRAX score). Results: 39,502 persons over age 50 underwent at least one DXA, of whom 752 had IBD. The FRAX score was strongly predictive of MOF and HF in IBD and non-IBD subgroups (all p<.001). IBD was not associated with an increased risk of MOF after controlling for the FRAX score (HR 1.15, 95% CI 0.85-1.50). However, IBD was associated with an increased risk of HF after controlling for the FRAX score (HR 1.94, 95% CI 1.21-3.10). Risk of MOF and HF were similar among subjects with CD and UC. (CD vs. UC; HR 1.07, 95% CI 0.63-1.81; for MOF, HR 0.85, 95% CI 0.33-2.17 for HF). Conclusion: Though IBD does not appear to be predictive of fracture after controlling for FRAX, IBD does predict hip fracture independent of FRAX. This suggests that having IBD may be predictive of hip fracture independent of the effects of IBD on other known risk factors for hip fracture including BMD. Further work is required to see which patients with IBD are at highest risk of hip fracture in order to guide the use of preventive therapies.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.034
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.341
Teacher spread0.319 · 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
Published2011
Admission routes2
Has abstractyes

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