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Record W2049000848 · doi:10.1159/000301651

Serum Gonadotropin Patterns in Patients with Chronic Renal Failure on Hemodialysis

2010· article· en· W2049000848 on OpenAlexaff
R.C. Strickler, C. Allan Woolever, Michael Johnson, Marc B. Goldstein, Gabrielle de Veber

Bibliographic record

VenueGynecologic Investigation · 2010
Typearticle
Languageen
FieldMedicine
TopicPregnancy and Medication Impact
Canadian institutionsToronto Western HospitalSt. Michael's Hospital
Fundersnot available
KeywordsInternal medicineHemodialysisEndocrinologyGonadotropinMedicineChronic renal failureLuteinizing hormoneFollicle-stimulating hormoneEstrogenHormone

Abstract

fetched live from OpenAlex

A clinical model to study gonadotropin patterns when minimal or no kidney function persists is available in patients demonstrating chronic renal failure and maintained on hemodialysis. Hemodialysis does not alter the serum level of FSH and LH. In 9 premenopausal women, 3 serum patterns of FSH and LH were observed. The most common serum pattern of gonadotropin is a normal concentration of FSH and a moderately elevated level of LH, wherein LH/FSH is 4:1. This pattern was also observed in 4 male patients maintained on hemodialysis. The serum gonadotropin pattern in oophorectomized women on hemodialysis is the same as in post-menopausal women with normal renal function (i.e. high LH and high FSH). Serum estrogen levels are below normal in all female patients studied. Renal failure does not induce a suppression in the hypothalamic-pituitary control of gonadotropin release. Renal failure is not associated with an unique serum pattern of FSH and LH. This suggests that kidney excretion is not the only mechanism for clearing gonadotropin from blood.

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 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)0.001
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 score0.008
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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 teacher head, 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

Citations17
Published2010
Admission routes1
Has abstractyes

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