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Record W2138457510 · doi:10.1093/humrep/deu205

A first-in-human study of PDC31 (prostaglandin F2  receptor inhibitor) in primary dysmenorrhea

2014· article· en· W2138457510 on OpenAlexaff
Bettina Böttcher, Rosa Maria Laterza, L. Wildt, Rebecca Seufert, Kai J. Bühling, CF Singer, Wendy L. Hill, Paul Griffin, Bernd Jilma, Miklos Schulz, Roger P. Smith

Bibliographic record

VenueHuman Reproduction · 2014
Typearticle
Languageen
FieldMedicine
TopicMenstrual Health and Disorders
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsMedicineAdverse effectVisual analogue scalePharmacokineticsProstaglandinMyometriumProspective cohort studyUterusInternal medicineAnesthesiaPharmacology

Abstract

fetched live from OpenAlex

STUDY QUESTION: What is the safe and pharmacodynamically active dose range for PDC31 (prostaglandin F2α receptor inhibitor) in patients with primary dysmenorrhea (PD)? SUMMARY ANSWER: The 1 mg/kg/h dose of PDC31 appears to be safe and potentially effective in reducing intrauterine pressure (IUP) and pain associated with excessive uterine contractility when given as a 3-h infusion in patients with PD. WHAT IS KNOWN ALREADY: PDC31 has previously been shown to reduce the duration and strength of PGF2α-induced contractions in human uterine myometrial strip models and to delay delivery in animal models of preterm labor. STUDY DESIGN, SIZE, DURATION: This was a prospective, multi-center, dose-escalating first-in-human Phase I study conducted from March 2011 to June 2012. A total of 24 women with PD were enrolled and treated with one of five doses (0.01, 0.05, 0.15, 0.3, 0.5 and 1 mg/kg/h) of PDC31 given as a 3-h infusion. Patients were observed for a further 24 h. PARTICIPANTS/MATERIALS, SETTING, METHODS: This study was conducted at four hospitals in Europe in non-pregnant, menstruating women with PD. Women with PD (n = 24) received PDC31 infused over 3 h within 8-10 h of the onset of menstruation. IUP and pain monitoring through the visual analog scale (VAS) was assessed prior to, during and following the infusion. Patients were observed for dose-limiting toxicities and other adverse events. Pharmacokinetic samples were also taken to profile the drug. MAIN RESULTS AND THE ROLE OF CHANCE: A 3-h infusion of PDC31 was safe up to and including doses of 1 mg/kg/h. Most adverse events were mild (n = 15; 83.3%) and not considered associated with PDC31 (n = 14; 77.8%). PDC31 infusion decreased uterine activity based on IUP and pain (VAS) scores. IUP was decreased by 23% over all dose levels, reaching a minimum at 135-150 min. There appeared to be a dose-dependent effect on IUP, with the high dose group (1 mg/kg/h) showing the largest decrease in IUP. There was a statistically significant linear dose-effect and concentration-effect relationship for several IUP parameters over the evaluation period of 60-180 min. A dose differentiating effect on pain was seen with the two highest doses. PDC31 demonstrated uncomplicated, linear pharmacokinetics with a terminal half-life of ∼2 h. LIMITATIONS, REASONS FOR CAUTION: This was a first-in-human study and exposure to PDC31 was limited for safety reasons. As such, pharmacodynamic parameters were assessed at a two-sided Type I error of 20%, an appropriate level for the exploratory nature of this study without a placebo control arm. This limited the chance of false positive findings to one in five. WIDER IMPLICATIONS OF THE FINDINGS: Like PD, preterm labor is associated with prostaglandin-mediated uterine contractions; therefore, the findings of this study support further development of PDC31 as a treatment for both PD and preterm labor. STUDY FUNDING/COMPETING INTERESTS: This work was funded by PDC Biotech GmbH, Vienna, Austria. B.B., R.M.L., L.W., R.J.S., K.J.B. and C.F.S. received reimbursement for the conduct of this study from PDC Biotech GmbH. W.H., M.S. and R.P.S. are paid consultants for PDC Biotech GmbH. P.G. is a paid consultant and shareholder of PDC Biotech GmbH. TRIAL REGISTRATION NUMBER: NCT01250587 at www.clinicaltrials.gov.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.576

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 head0.024
GPT teacher head0.305
Teacher spread0.281 · 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

Citations30
Published2014
Admission routes1
Has abstractyes

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