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Record W2070311822 · doi:10.1159/000187919

Mid-Menstrual Cycle Decline in Creatinine and Urea Clearances

2008· article· en· W2070311822 on OpenAlexaff
M.H. Gault, L. Chafe, V Prabhakaran

Bibliographic record

Venue˜The œNephron journals/Nephron journals · 2008
Typearticle
Languageen
FieldMedicine
TopicThermoregulation and physiological responses
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineCreatinineMenstrual cycleMenstruationFollicular phaseUreaInternal medicineEndocrinologyOvulationNadirHormoneChemistry

Abstract

fetched live from OpenAlex

In 6 pre-menopausal and 6 post-menopausal women we compared urine volume and excretion of creatinine and urea daily from day 2 of the 1st period of menstruation to day 1 of the 2nd, along with clearances of creatinine (CCr) and urea (C-urea). Clearances were based on 7 serum samples which were taken on day 2 of the 1st menstruation and on days 8, 14, 15, 16, 21, and day 1 of the next menstruation, when 4 cycling hormones were also assayed. Mean group ages were 35 and 59 years for pre- and post-menopausal women. CCr cycled only in the pre-menopausal group, with a nadir around the time of ovulation. The mean CCr combining days 14 and 15 was lower than that for the average of the 5 other days by 22% (p < 0.003) in the pre-menopausal but not in the post-menopausal group (p = 0.99). Average CCr values fell from the peak mean of 129 ml/min on day 8 in the follicular phase to the mean nadir of 93 ml/min for days 14 and 15 and recovered to 117 ml/min by day 1 of the 2nd menstruation; the percent fall in CCr ranged from 9 to 39%. A mid-cycle nadir was also present for C-urea (p = 0.03), also found only in the pre-menopausal group. We conclude that, in pre-menopausal women, there is generally a fall in CCr and C-urea from a peak in the follicular phase to a nadir around ovulation.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.835
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.050
GPT teacher head0.336
Teacher spread0.285 · 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.

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

Citations12
Published2008
Admission routes1
Has abstractyes

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