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Record W4378449596 · doi:10.1097/jcp.0000000000001702

Risk of Major Malformations in Infants After First-Trimester Exposure to Stimulants

2023· article· en· W4378449596 on OpenAlexaff
Mercedes J. Szpunar, Marlene P. Freeman, Lauren A Kobylski, Ella T. Rossa, Peter Gaccione, David Chitayat, Adele C. Viguera, Lee S. Cohen

Bibliographic record

VenueJournal of Clinical Psychopharmacology · 2023
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsMount Sinai Hospital
Fundersnot available
KeywordsMedicinePregnancyAttention deficit hyperactivity disorderStimulantMethylphenidateOdds ratioPsychiatryMedical prescriptionMoodPediatricsObstetricsInternal medicine

Abstract

fetched live from OpenAlex

PURPOSE/BACKGROUND: The prevalence of attention-deficit/hyperactivity disorder in adult females is 3% to 4%. Attention-deficit/hyperactivity disorder is highly comorbid with other psychiatric disorders such as mood, anxiety, and substance use disorders. For reproductive-aged women, the treatment of attention-deficit/hyperactivity disorder with stimulant medications may be considered during pregnancy or breastfeeding, although historically, data are lacking to inform these decisions. The aim of this investigation was to determine the risk of major malformations in infants after first-trimester prescription stimulant exposure in a small but rigorously characterized sample. METHODS/PROCEDURES: The Massachusetts General Hospital National Pregnancy Registry for Psychiatric Medications systematically ascertains information from pregnant females including demographic information, medical and psychiatric history, use of prescription medications, and other information relevant to fetal outcomes. Participants provide verbal informed consent and are interviewed twice during gestation and again at approximately 3 months postpartum. The primary outcome of interest is the presence of a major malformation identified within 6 months after birth. Redacted cases of major malformations are reviewed by a dysmorphologist blinded to medication exposure. FINDINGS/RESULTS: A total of N = 1988 women were eligible for this analysis, including the following exposures: n = 173 to mixed amphetamine salts; n = 40 to lisdexamfetamine; n = 45 to methylphenidate; n = 3 to dexmethylphenidate; and n = 1755 controls. The odds ratio of a major malformation among infants after first-trimester exposure to any stimulant was 0.39 (95% confidence interval, 0.09-1.61) compared with controls. There were no major malformations observed in infants exposed to lisdexamfetamine, methylphenidate, or dexmethylphenidate. IMPLICATIONS/CONCLUSIONS: Although preliminary, this analysis from an ongoing pregnancy registry provides reassurance that these stimulants do not appear to have major teratogenic effects. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01246765 .

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)0.004
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.047
GPT teacher head0.457
Teacher spread0.411 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

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