Association between an increment of 30-minute postchallenge plasma glucose and urine albumin excretion exists in postmenopausal women but not in premenopausal women
Bibliographic record
Abstract
OBJECTIVE: Usually, the increment of 30-minute postchallenge plasma glucose (ΔG30-0) represents the highest glucose spike in the population with normal glucose regulation (NGR). The aim of this study was to explore the differences in ΔG30-0 and urinary albumin excretion, a marker for widespread vascular damage, between premenopausal and postmenopausal women, and the relationship between ΔG30-0 and urinary albumin excretion. METHODS: A population-based cross-sectional study, consisting of 5,289 participants aged 20 to 75 years from six different communities, was conducted in Shanghai between 2007 and 2008. We assessed postchallenge blood glucose and insulin at 0-, 30-, and 120-minute urinary albumin and creatinine. ΔG30-0 was calculated as 30-minute postchallenge glucose minus fasting plasma glucose, and the albumin-to-creatinine ratio (ACR) was used to reflect urinary albumin excretion. Among these, the data of 2,240 women with NGR were analyzed. RESULTS: (1) Postmenopausal women had higher ΔG30-0 and ACR than did premenopausal women (3.55 ± 1.52 mmol/L vs 3.21 ± 1.49 mmol/L and 6.92 [4.91-10.99] mg/g vs 6.18 [4.17-10.07] mg/g, respectively; all P < 0.001). (2) Multivariable logistic regression showed that ΔG30-0 was independently associated with increased ACR in postmenopausal women with NGR (odds ratio, 1.10; P = 0.048) but not in premenopausal women. (3) The main factor associated with ΔG30-0 was the early-phase glucose disposition index drawn from the multivariable linear regression, which explained approximately 19% and 28% of the variation of ΔG30-0 in premenopausal and postmenopausal women, respectively (both P < 0.001). CONCLUSIONS: In the NGR population, postmenopausal women have higher ΔG30-0 and ACR compared with premenopausal women. The relationship between ΔG30-0 and increased urine albumin excretion existed in postmenopausal women.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".