Vertebral Abnormalities by Spine Morphometry in Thalassemia.
Bibliographic record
Abstract
Abstract Background: The Thalassemia Clinical Research Network previously reported a high prevalence of low bone mass in thalassemia (thal) despite current treatment practices. Currently we report the association of vertebral compression fractures (frs) and vertebral (vert) growth disturbances with bone pain, bone mass, bone turnover and therapies in thal. Methods: Vert frs (T10-L4) were assessed by morphometry. Vert compression frs by quantitative assessment (Fr-qt) were defined as anterior or mid-vert hts at least 25% shorter than posterior hts or average vert ht at least 25% shorter than hts of adjacent vert. Frs by qualitative assessment (Fr-ql) and growth plate (GP) abnormalities were determined. Bone mineral density by DXA and bone turnover markers were measured. Results: 353 thal pts were studied 64% beta-thal major (beta-TM) 12% beta-thal Intermedia 11% E/beta-thal 11% HbH 1% alpha thal 1% stem cell transplant pts, mean age 23 (SD 12 yrs, range 6 – 75 yrs). General bone pain and back pain were self-reported for the 30 days prior to morphometry by 34% and 26% pts, respectively. Fr-qt occurred in 41 (12%) and Fr-ql in 9 (2.5%), while only 7 pts (2%) had a history of vertebral fr and prevalence did not differ by type of thal or gender. Fr-qt and Fr-ql prevalence increased with age (Fr-qt p < 0.1; Fr-ql p < 0.001). After controlling for age, lumbar DXA Z or T scores were negatively associated with frs (odds ratio for 1-SD increase: Fr-qt 0.670, 95% CI 0.488 to 0.921, p = 0.01; Fr-ql 0.303, 95% CI 0.125 to 0.730, p < 0.01). Hypertransfusion, yrs or onset of chelation, serum transferrin receptor or ferritin did not correlate with frs after controlling for age. Decreased ht Z score (p < 0.01) and growth hormone deficiency (GHD) (p = 0.01) were associated with higher risk for Fr-qt after correcting for age. Hypogonadism was also associated with Fr-qt but not after correction for age (odds ratio 1.916, 95% CI 0.927 to 3.959 p = 0.08). Presence of Fr-ql but not Fr-qt was correlated with generalized bone and back pain specifically (Fr-ql vs. back pain odds ratio 11.05, 95% CI 2.035 to 110.2, p = 0.001). GP abnormalities were present in 30 pts (9%), including 7 (2%) who also had Fr-qt. Prevalence of GP did not differ by gender but was more common in beta-TM pts (13%), E-beta thal (5%) and among all others (0%) (p=0.04). In beta-TM pts, lumbar DXA Z or T scores (p < 0.01), ht Z scores (p < 0.001) and age that chelation was started (p < 0.01) were all negatively associated with GP abnormalities after controlling for age. Hypogonadism (p = 0.001) and GHD (p = 0.04) were positively associated with GP abnormalities after controlling for age. Presence of GP was not correlated with either general bone pain or back pain specifically. Conclusions: Morphometry identified vert abnormalities in 18% of thal pts. These included moderate to severe vert wedging or GP disturbances. A subgroup of pts (2.5%) also had vert compression frs by radiologic assessment. Morphometry vert lesions were associated with low bone mass. Back pain was strongly correlated with radiologic frs but not with other lesions seen by morphometry.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".