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Record W2590826971 · doi:10.1111/cts.12442

Therapeutic Differences in 24‐h Ambulatory Blood Pressures in Patients Switched Between Bioequivalent Nifedipine Osmotic Systems With Differing Delivery Technologies

2017· article· en· W2590826971 on OpenAlexaffabout
P. Timothy Pollak, RJ Herman, R D Feldman

Bibliographic record

VenueClinical and Translational Science · 2017
Typearticle
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsMemorial University of NewfoundlandUniversity of Calgary
Fundersnot available
KeywordsBioequivalenceNifedipineMedicineBlood pressureAmbulatoryPopulationPharmacologyDosingAnesthesiaPharmacokineticsInternal medicine

Abstract

fetched live from OpenAlex

Comparing modified-release formulations can be difficult using current bioequivalence criteria. Two 60-mg-once-daily nifedipine formulations are deemed bioequivalent in Canada. This study examined the validity of the assumption that these interchangeable, but different, delivery technologies are therapeutically equivalent in maintaining systolic blood pressure (SBP) control throughout the entire dosing interval. We used 24-h Ambulatory Blood Pressure Monitoring to objectively examine whether formulation switches changed population SBP >2 mmHg (reflecting 6% increased stroke mortality) and in what proportion of patients SBP changed ≥6 mmHg (risking unnecessary therapeutic alterations). When 20 patients, previously receiving 60-mg-once-daily Nifedipine-GITS, were switched to Mylan-Nifedipine-XL, population-mean ± SE 24-h SBP increased 3 ± 1.1 mmHg (P = 0.0173) and 8-h nocturnal SBP increased 4 ± 1.6 mmHg (P = 0.0098). Thus, interchange of nifedipine formulations can affect therapeutic consistency. These data support existing calls to improve criteria for establishing bioequivalence between formulations employing differing modified-release technologies.

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)0.000
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 score0.006
Threshold uncertainty score0.529

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.106
GPT teacher head0.330
Teacher spread0.224 · 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

Citations7
Published2017
Admission routes2
Has abstractyes

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