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Record W4399365391 · doi:10.58931/cibdt.2024.2125

Bone Health In Patients With Inflammatory Bowel Disease (IBD)

2024· article· en· W4399365391 on OpenAlexaffabout
Laura E. Targownik, Pablo A. Olivera

Bibliographic record

VenueCanadian IBD Today · 2024
Typearticle
Languageen
FieldMedicine
TopicBone health and osteoporosis research
Canadian institutionsLunenfeld-Tanenbaum Research InstituteUniversity of TorontoMount Sinai Hospital
Fundersnot available
KeywordsInflammatory bowel diseaseMedicineBone healthInflammatory Bowel DiseasesDiseaseGastroenterologyInternal medicineOsteoporosisBone mineral

Abstract

fetched live from OpenAlex

Metabolic bone disease is prevalent in persons with immune-mediated inflammatory diseases, including inflammatory bowel disease (IBD). Within these conditions the most common are osteoporosis and reduced bone mineral density (BMD), often termed osteopenia in adult patients, and refer to a decreased mineralization of the bone matrix. This decreased mineralization weakens the resistance of the bone to external forces, thus increasing the risk of fractures when external compressive or deforming forces are applied. Osteoporosis is asymptomatic in the absence of a fracture, and diagnosis generally occurs through the use of programmatic screening (most commonly dual energy x-ray absorption [DEXA]) or incidentally following the occurrence of a fracture. Osteoporosis is defined as a DEXA-measured BMD at the lumbar spine or proximal femur which falls more than 2.5 standard deviations below the mean value for healthy young adults (known as a T-score). BMD decreases of a lesser degree (a T-score falling between -1 and -2.5) are referred to as osteopenia. Osteoporosis is a major public health concern, owing to the significant morbidity and mortality that is attributed to fractures. While fractures may represent a time-limited hardship among persons in otherwise good health and function, major osteoporosis-related fractures, especially those of the femur and spine, can lead to permanent disability and premature mortality. In Canada, approximately 150 people per 100,000 suffer a hip fracture per year, which confers a 3-fold higher risk of mortality.

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)0.001
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: Review · Consensus signal: none
Teacher disagreement score0.438
Threshold uncertainty score0.870

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.270
Teacher spread0.260 · 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
GenreReview

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
Published2024
Admission routes2
Has abstractyes

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