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Clomiphene for the Treatment of Male Infertility: A Case Report of Mood Change and a Literature Overview

2017· review· en· W2630465422 on OpenAlexaff
Marine Aussedat, Jennifer Jean-Louis, Orchidée Djahangirian, Marie‐Sophie Brochet

Bibliographic record

VenueCurrent Drug Safety · 2017
Typereview
Languageen
FieldMedicine
TopicMenopause: Health Impacts and Treatments
Canadian institutionsCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineDiscontinuationMoodInfertilityAnxietyMalaiseAdverse effectSubstance abusePsychiatryGynecologyPregnancyInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Clomiphene is normally used in women with ovulatory dysfunction. In men, it is used off label in some cases of infertility. Psychological adverse effects are reported in women but very few in men. CASE: A 34-year-old man treated with clomiphene for oligoteratospermia presented anxiety, decreased appetite, and mood change making him unable to function properly at work, five days after initiation of therapy. Symptoms required reduction followed by discontinuation of treatment four days later because of absence of improvement. Following cessation, the patient noted a gradual then a complete resolution approximately one week later. The patient did not have any psychiatric or other medical condition neither drug nor substance abuse that could explain this clinical presentation. The Naranjo's score was used to prove the clomiphene's imputability. CONCLUSION: Health care providers should advise patients of the risk of psychological adverse effects when initiating treatment with clomiphene and should provide a close monitoring of mood change, especially during the initial weeks.

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)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.335
GPT teacher head0.479
Teacher spread0.144 · 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
GenreReview

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

Citations6
Published2017
Admission routes1
Has abstractyes

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