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Record W4317899381 · doi:10.1136/bcr-2022-251895

Effect of testosterone therapy on migraine frequency and disability in two transgender patients: a case report

2023· article· en· W4317899381 on OpenAlexafffund
Candice Todd, Amy Yu, Christine Lay, Ana Marissa Lagman‐Bartolome

Bibliographic record

VenueBMJ Case Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsHospital for Sick ChildrenUniversity of OttawaWomen's College HospitalUniversity of Toronto
FundersWomen's College Hospital
KeywordsMigraineTransgenderTestosterone (patch)HeadachesMedicineHormone therapyAuraPhysical therapyInternal medicinePsychologyPsychiatry

Abstract

fetched live from OpenAlex

With an increasing number of patients seeking gender-affirming hormone therapy (GAHT), the clinical impact of testosterone treatments on headache needs to be determined. Our case report looks at the potential effect of testosterone on migraine among transgender patients. We present two transmasculine patients who used masculinising hormone therapy with testosterone. Both patients described their headache as moderate-to-severe pain with features that fulfilled the criteria for chronic migraine without aura. Following GAHT, one patient improved in both frequency and intensity of headache symptoms while the other noted improvement in headache intensity alone. Our report postulates that testosterone therapy may have a positive impact on headaches in individuals participating in GAHT, highlighting the need for further research on the role of testosterone therapy on headache in transmasculine individuals.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
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 head0.037
GPT teacher head0.380
Teacher spread0.343 · 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 designCase report
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

Citations12
Published2023
Admission routes2
Has abstractyes

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