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Record W4397040765 · doi:10.1681/asn.20233411s1492b

Extended-Release Calcifediol Overcomes Impact of Low eGFR on Vitamin D Metabolism

2023· article· en· W4397040765 on OpenAlexaff
Charles W. Bishop, Stephen A. Strugnell, Akhtar Ashfaq, Joel Z. Melnick, Nilay Patel, Rahul Ravipati, Martin Petkovich

Bibliographic record

VenueJournal of the American Society of Nephrology · 2023
Typearticle
Languageen
FieldMedicine
TopicVitamin D Research Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsCalcifediolVitamin D and neurologyMedicineInternal medicineMetabolismEndocrinologyChemistryvitamin D deficiency

Abstract

fetched live from OpenAlex

Background: Serum 25-hydroxyvitamin D (25D) falls below 30 ng/mL and serum 1,25-dihydroxyvitamin D (1,25D) becomes undetectable as chronic kidney disease (CKD) progresses. Cholecalciferol or ergocalciferol are widely prescribed but cannot reliably raise 25D and lower elevated parathyroid hormone (PTH). They are replaced/combined with calcitriol (or 1α-OH analog) when PTH inevitably rises, contrary to the current KDIGO guideline, with justification that too much renal CYP27B1 has been lost, limiting hormone production. Randomized clinical trials (RCTs) prove that extended-release calcifediol (ERC) safely and sufficiently raises serum 25D and 1,25D, and effectively treats elevated PTH despite declining eGFR, but the mechanism is not fully elucidated and requires further investigation. Methods: Changes in serum 25D3, 24,25D3 and 1,25D(3) during ERC treatment in four RCTs were compared as a function of eGFR. In one study, 80 non-CKD patients were treated for 4 weeks (wks) with 300 mcg/day (d) for three ds and 60 mg/d thereafter. In two studies (pooled), 285 non-dialysis patients with eGFR of 30.6±0.6 (mean±SE) mL/min/1.73m2 were treated for 26 wks with 210 mcg/wk increasing, as needed, to 420. In another, 33 hemodialysis (HD) patients were treated for 26 wks with 900 mcg/wk. Results: In these RCTs, baseline 25D was 37.7±12.1, 19.9±0.3 and 23.6±2.2 ng/mL, respectively. Mean 1,25D at baseline was inversely proportional to eGFR, ranging from 72.3±3.3 pg/mL in non-CKD patients to 9.4±1.0 pg/mL in HD patients. During treatment, mean 25D3 rose to >70 ng/mL with peak levels proportional to dose. Mean 1,25D(3) rose linearly with 25D3 at similar rates in all eGFR groups but mean 24,25D3 (<2.9 ng/mL at baseline) increased at rates proportional to eGFR. Conclusions: ERC reliably raised both serum 25D3 and 1,25D(3), irrespective of eGFR, making it an attractive alternative to hormones for treating persistently rising PTH in CKD stages 3-4. Declining eGFR did not affect ERC's ability to increase the rate of 1,25D(3) production, indicating that hormone generation occurred in extra-renal tissue. Increases in serum 24,25D3 were dependent on 25D3 elevation and limited by declining eGFR, suggesting that this metabolite derives solely from the kidney and is not disproportionately increased by ERC. Funding: Commercial Support - OPKO Health, CSL Vifor

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0010.000

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 head0.021
GPT teacher head0.351
Teacher spread0.330 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2023
Admission routes1
Has abstractyes

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