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Record W2107716176 · doi:10.1359/jbmr.2000.15.10.2052

Intravenous Pamidronate for Treatment of Reflex Sympathetic Dystrophy During Breast Feeding

2000· article· en· W2107716176 on OpenAlexaff
Kerry Siminoski, Avril A. Fitzgerald, Gérard Flesch, M. Shirley Gross

Bibliographic record

VenueJournal of Bone and Mineral Research · 2000
Typearticle
Languageen
FieldMedicine
TopicBreastfeeding Practices and Influences
Canadian institutionsUniversity of AlbertaRoyal Alexandra HospitalAlberta Health Services
Fundersnot available
KeywordsDystrophyMedicineReflexInternal medicinePathology

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.774
Threshold uncertainty score0.250

Codex and Gemma teacher scores by category

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

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 head0.059
GPT teacher head0.380
Teacher spread0.321 · 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 teacher head, 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

Citations47
Published2000
Admission routes1
Has abstractyes

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