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High Prevalence of Fractures and Bone Pain in Thalassemia: The Thalassemia Clinical Research Network Experience.

2005· article· en· W2538680438 on OpenAlexaff
Maria G. Vogiatzi, Eric A. Macklin, Robert J. Schneider, Joseph M. Lane, Nancy F. Olivieri, Melanie Kirby, Angela M. Cheung, Elliott Vichinsky, Ellen B. Fung, Alan R. Cohen, Janet L. Kwiatkowski, Virginia A. Stallings, Ingrid A. Holm, Ellis J. Neufeld, Patricia J. Giardina

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsHospital for Sick ChildrenUniversity Health Network
Fundersnot available
KeywordsMedicineThalassemiaPediatricsBone painInternal medicineBeta thalassemiaAlpha-thalassemiaPopulationObservational studySurgeryGastroenterologyGenotype

Abstract

fetched live from OpenAlex

Abstract Historically fractures and bone pain have been frequent problems in Thalassemia. Recently a cross-sectional observational study conducted by the North American Thalassemia Clinical Research Network (TCRN) found a high prevalence of low bone mass among the various Thalassemia syndromes. In addition, the prevalence of fractures and bone pain with contributing factors were determined and reported below. The study population consisted of 369 patients: 65% had Thalassemia Major (TM), 12% Thalassemia Intermedia (TI), 12% Beta E (βE), 5% hemoglobin H (HbH), 5% hemoglobin H/Constant Spring (HbH/CS) and 1% Homozygous alpha (Hα). A 35% prevalence of fractures which increased with age was identified (6–10 yrs: 1.1/100 pt-yrs; 11–19 yrs: 1.2/100 pt-yrs; 20+ yrs: 2.1/100 pt-yrs). Fractures occurred more frequently in males vs. females (40% vs. 31%), and among patients with Beta Thal (TM: 40%, TI: 49%, βE: 19%, HbH: 11%, HbH/CS: 5%, Hα: 0%) even after controlling for differences in age distribution. Prevalence of fractures increased with decreasing bone mass (AP spine Z or T scores measured by DXA) and increasing weight Z scores but was not associated with height or BMI Z scores. Prevalence of fractures was higher among patients treated for hypogonadism (59% vs. 26%) or hypothyroidism (65% vs. 32%) after controlling for age and gender. Traumatic fractures were most commonly reported (91%). Increased physical activity was associated with fractures among children ≤11y but not among other age groups. Rates of traumatic fractures among Beta Thal were higher than among other diagnosis (2.3/100 pt-yrs vs. 0.8/100 pt-yrs) after controlling for age. Rates of non-traumatic fractures among Beta Thal were elevated but not significantly higher than among other diagnosis (0.23/100 pt-yrs vs. 0.07/100 pt-yrs). 34% of patients reported bone pain during the 30 days prior to enrollment. Of those, 17% used prescription pain medications and an additional 36% used over-the-counter analgesics. The prevalence of bone pain increased with age, was higher in females (males: 28%, females: 40%), was higher in TM and Hα (TM: 40%, TI: 16%, βE: 19%, HbH: 37%, HbH/CS: 35%, Hα: 67%) and did not correlate with bone mass, height, weight and BMI Z scores or any reported endocrinopathies. In summary, fractures continue to occur frequently despite current treatment practices, especially among the older patients with Beta Thal. Bone pain remains a frequent complaint among the Thalassemia syndrome subjects.

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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.027
GPT teacher head0.360
Teacher spread0.333 · 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
Published2005
Admission routes1
Has abstractyes

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