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Biochemical Effects of High Dialysate Calcium in Hemodialysis Patients with Hyperparathyroidism: A 10 Month Study

2003· article· en· W2048631370 on OpenAlex
Agnès Haris, Robert Richardson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueASAIO Journal · 2003
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsToronto General Hospital
Fundersnot available
KeywordsCalciumParathyroid hormoneHemodialysisHyperparathyroidismEndocrinologyInternal medicineVitamin D and neurologySecondary hyperparathyroidismPhosphateChemistryMedicineBiochemistry

Abstract

fetched live from OpenAlex

In the past 15 years, there has been a trend to decrease dialysate calcium concentrations to prevent hypercalcemia. However, low dialysate calcium can provoke hyperparathyroidism. The time course of the effect of increasing dialysate calcium is not well characterized, and the effect on calcium-phosphate product is unclear. Therefore, we studied the effect of increasing dialysate calcium from 1.5 to 1.75 mM in 21 stable patients on hemodialysis who had serum phosphate of less than 2 mM and serum calcium of less than 2.4 mM. Over 10 months, parathyroid hormone levels fell from 39.6 to 16.6 pM (p < 0.0001), whereas serum calcium increased from 2.27 to 2.41 mM. There were no significant changes in serum phosphate or the calcium-phosphate product. Three patients became hypercalcemic when their parathyroid hormone levels were suppressed to less than 10 pM. We conclude that in carefully selected patients, increasing dialysate calcium can safely treat hyperparathyroidism with minimal risk of complications. This treatment has the advantage over the use of vitamin D therapy of being less expensive, independent of patient compliance, and less likely to cause increases in serum phosphate or calcium-phosphate product.

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.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.612

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.240
Teacher spread0.233 · 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