Severe Proximal Myopathy with Remarkable Recovery after Vitamin D Treatment
Bibliographic record
Abstract
BACKGROUND: Osteomalacia is an uncommon cause of muscle weakness. Our objectives were to describe features of myopathy associated with Vitamin D deficiency and examine the contributing factors leading to osteomalacic myopathy in our region. METHODS: Patients identified retrospectively for the six year period ending in December 2006 with the diagnosis of osteomalacia and/or Vitamin D deficiency associated proximal muscle weakness were included. They were followed in three major centers in western Saudi Arabia. Clinical, biochemical, radiological, and electrophysiological findings were collected before and after Vitamin D treatment by chart review. RESULTS: Forty seven female patients aged 13-46 years (mean 23.5, SD 4.5) were included. All were veiled and covered heavily when outside the house for social and cultural reasons. Only eight (17%) had adequate varied diet with daily milk ingestion. All patients presented with progressive proximal muscle weakness lasting 6-24 months (mean 14) prior to our evaluation. The weakness was severe in six (13%) patients leading to wheel chair bound states. Associated musculoskeletal pain involving the back, hips, or lower limbs was common (66%). Osteomalcia was the referral diagnosis in only 11 patients and the remaining 36 (77%) patients were misdiagnosed. All patients had metabolic and radiological profiles suggestive of osteomalacia. Remarkable recovery was documented in all patients following oral cholecalciferol and calcium supplementation. CONCLUSIONS: Vitamin D deficiency is an important treatable cause of osteomalacic myopathy in Saudi Arabia. The diagnosis is frequently delayed or missed. Screening for Vitamin D deficiency in patients with acquired myopathy is needed to identify this treatable disorder.
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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 | 0.000 | 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) | 0.001 | 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".