Intravenous Pamidronate for Treatment of Reflex Sympathetic Dystrophy During Breast Feeding
Bibliographic record
Abstract
A 39-year-old woman presented in the first month of pregnancy with reflex sympathetic dystrophy involving both lower legs. Symptoms became so severe that she could not walk unassisted, and the pain worsened after delivery. Radiographs showed patchy reduction in apparent density in the tarsal bones and around the ankles and knees. Uptake was increased in these areas on technetium methylene diphosphonate bone scan. Bone density (dual-energy X-ray absorptiometry) was reduced in the spine, hip, and radius. Biochemical tests were normal except for an increase in urinary excretion of the N-telopeptide cross-linking region of type I collagen (NTx). Because the patient wanted to continue breast-feeding, intravenous pamidronate was administered at monthly intervals. Breast milk was collected for 48 h after the infusion. The pain began to decrease soon after drug administration was initiated, and it was virtually gone by 6 months. NTx excretion fell by 78% and bone density increased by as much as 18.9% over the 6-month treatment interval. The baby was healthy and grew normally. Milk expressed after the first treatment was assayed for pamidronate content by high-performance liquid chromatography with fluorescence detection. None was detected (limit of quantitation, 0.4 micromol/liter). This case shows that pamidronate may be considered for treatment of lactating women.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".