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Record W2092633262 · doi:10.1159/000129653

Aging, Circadian Weight Change, and Nocturia

2008· article· en· W2092633262 on OpenAlexaff
Michael Kaye

Bibliographic record

VenueNephron Physiology · 2008
Typearticle
Languageen
FieldMedicine
TopicUrinary Bladder and Prostate Research
Canadian institutionsMcGill University
Fundersnot available
KeywordsNocturiaInternal medicineEndocrinologyMedicineNatriuresisCircadian rhythmDiureticDiuresisMorningRenal functionUrinary system

Abstract

fetched live from OpenAlex

BACKGROUND: Normal young individuals excrete more sodium in their urine during the day than overnight, but the reverse occurs in older individuals with nocturia. The reason is unknown. METHODS: First, a self-study was performed, determining the relation between morning and night weight change as an index of volume expansion. This was followed for 1 year and modified, in separate experiments, by assessing either a diuretic (furosemide 40 mg) or recumbency. Weight and in some instances ankle circumference were measured, and day and night urines collected. Second, a community study of 102 individuals was done, measuring circadian weight change and nocturia for 3 days in each subject. Third, measurement of day and night urine electrolytes and weight change was performed in 10 non-nocturics and 12 matched nocturics (age > or =60 years). RESULTS: Salt and water retention occurs during the day and natriuresis and diuresis overnight. Nocturia occurs when weight gain is greater. It is prevented by an afternoon diuretic or daytime recumbency. CONCLUSIONS: Idiopathic nocturia is due to daytime volume expansion associated with the upright position. It is hypothesized that this is caused by sodium retention during the day mediated by renal nerve sympathetic activity which together with angiotensin II acts on the kidney to increase tubular sodium reabsorption either directly or by reducing daytime glomerular filtration rate.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 head0.066
GPT teacher head0.305
Teacher spread0.239 · 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 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

Citations18
Published2008
Admission routes1
Has abstractyes

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