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Record W3027985342 · doi:10.1007/s40264-020-00948-x

Pregnancy Outcomes During the Clinical Development Program of Cladribine in Multiple Sclerosis: An Integrated Analysis of Safety

2020· article· en· W3027985342 on OpenAlexaff
Gavin Giovannoni, Andrew Galazka, Regina Schick, Thomas Leist, Giancarlo Comi, Xavier Montalbán, Doris Damian, Fernando Dangond, Stuart D. Cook

Bibliographic record

VenueDrug Safety · 2020
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersEMD SeronoMerck KGaA
KeywordsCladribineMedicinePlaceboPregnancyMultiple sclerosisCohortClinical trialCohort studyInternal medicinePediatricsObstetricsImmunologyPathology

Abstract

fetched live from OpenAlex

INTRODUCTION: Although use of contraception was pre-specified during cladribine clinical trials for multiple sclerosis, some pregnancies did occur. OBJECTIVE: This analysis reports on pregnancy outcomes in the cladribine clinical development program. METHODS: Pregnancy outcomes in female patients (direct pregnancies) and those arising from partner pregnancies (i.e., female partners of male study participants with multiple sclerosis) were evaluated from an integrated safety analysis of ten studies of cladribine in multiple sclerosis (nine clinical trials and a long-term safety registry), with patients treated with cladribine tablets, parenteral cladribine, or placebo (all-exposed cohort; 1976 patients received cladribine and 802 received placebo). Pregnancies that occurred during the 'at-risk' period for cladribine (during treatment or within 6 months thereafter) are reported as a separate group. RESULTS: In the all-exposed cohort, 70 direct pregnancies occurred among 62 female patients (cladribine, n = 49; placebo, n = 21). Pregnancy outcomes were: live births (cladribine, n = 19 [38.8%]; placebo, n = 9 [42.9%]), elective terminations (cladribine, n = 14 [28.6%]; placebo, n = 4 [19.0%]), spontaneous abortions (cladribine, n = 11 [22.4%]; placebo, n = 5 [23.8%]), and therapeutic terminations (cladribine, n = 5 [10.2%]; placebo, n = 2 [9.5%]); in the remaining placebo recipient, the pregnancy outcome was unknown. There were two reports of congenital malformations (cladribine, n = 1; placebo, n = 1), both of which occurred with pregnancies arising > 2 years after exposure to the last dose of study medication. Sixteen direct pregnancies occurred during the 'at-risk' period for cladribine; outcomes for these were: live births, n = 3 (18.8%); elective terminations, n = 10 (62.5%); spontaneous abortions, n = 2 (12.5%); and therapeutic terminations, n = 1 (6.2%). Corresponding findings for direct pregnancies among placebo recipients were (n = 11): live births, n = 5 (45.5%); elective terminations, n = 2 (18.2%); spontaneous abortions, n = 3 (27.3%); and unknown, n = 1 (9.1%). No cases of congenital malformation were reported for pregnancies during the 'at-risk' period. There were an additional nine partner pregnancies in female partners of cladribine-treated male patients, all of which resulted in live births; of these, two pregnancies occurred within the 'at-risk' period for cladribine. CONCLUSIONS: While limited by the small number of pregnancies and related data from the cladribine clinical development program, highlighting the need for further study, the observations made in the present analysis were generally consistent with epidemiological data on pregnancy outcomes for the general population or women with multiple sclerosis. There were no congenital malformations in pregnancies that occurred during cladribine treatment or within 6 months after the last dose. As the data available for cladribine-exposed pregnancies in patients with multiple sclerosis are limited, a non-interventional post-authorization safety study has been initiated to obtain more information on this subject. CLINICAL TRIAL REGISTRATION: CLARITY: NCT00213135; CLARITY Extension: NCT00641537; ORACLE MS: NCT00725985; ONWARD: NCT00436826; PREMIERE: NCT01013350.

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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)0.018
metaresearch head score (Gemma)0.017
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.144
GPT teacher head0.374
Teacher spread0.230 · 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".

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Citations42
Published2020
Admission routes1
Has abstractyes

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