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Macroprolactinemia in a Patient with Infertility and Hyperprolactinemia

2006· article· en· W2404241885 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSouthern Medical Journal · 2006
Typearticle
Languageen
FieldMedicine
TopicPituitary Gland Disorders and Treatments
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsMedicineProlactinInfertilityDopamine agonistDopaminePediatricsInternal medicinePregnancyHormoneDopaminergic

Abstract

fetched live from OpenAlex

A significant number of patients with hyperprolactinemia have macroprolactinemia, a condition characterized by the preponderance of big-big prolactin with normal levels of free prolactin. As macroprolactin does not have biologic activity, such patients do not require further investigations or treatment for hyperprolactinemia. The case of a patient with hyperprolactinemia diagnosed during investigation of secondary infertility is presented. She was treated for over 2 years with dopamine agonists, with which her prolactin level normalized, but she remained infertile. Subsequent investigations demonstrated that she suffered from macroprolactinemia, not true hyperprolactinemia. The patient is currently not on dopamine agonist therapy, and although her total prolactin levels remain significantly elevated, her free prolactin levels have been in the normal range. Physicians should familiarize themselves with this entity and consider testing for it in patients with hyperprolactinemia to avoid an inappropriate diagnosis and unnecessary treatment.

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.

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)0.000
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 score0.028
Threshold uncertainty score0.425

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.004
GPT teacher head0.220
Teacher spread0.216 · 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