Circulating dehydroepiandrosterone sulfate level and cardiovascular or all-cause mortality in the elderly population: a meta-analysis
Bibliographic record
Abstract
Studies have yielded contradictory results concerning the association between dehydroepiandrosterone sulfate (DHEAS) and mortality in the elderly population. This meta-analysis aimed to evaluate the association of low serum DHEAS level with cardiovascular or all-cause mortality in the elderly population. A comprehensive literature search was conducted in PubMed and Embase databases up to 4 February, 2019. Longitudinal observational studies reporting multivariate adjusted risk ratio (RR) and corresponding 95% confidence intervals (CI) for cardiovascular or all-cause mortality with respect to baseline low DHEAS level were included. Both fixed-effect and random effect model were used to pool the overall risk estimate. Methodological quality of the included studies was evaluated using a 9-point Newcastle-Ottawa Scale. Six prospective studies enrolling 6,744 individuals were identified. Five studies were graded as high methodological quality. When compared the lowest to the reference higher circulating DHEAS level, the pooled RR of all-cause and cardiovascular mortality was 1.46 (95% CI: 1.25-1.70) and 1.49 (95% CI: 1.11-1.99), respectively. Subgroup analysis indicated that the association of low DHEAS level with all-cause mortality risk was only found in men (RR 1.41;95% CI: 1.18-1.69) but not in women (RR 1.72; 95% CI: 0.99-2.99). This meta-analysis provides evidence that low circulating DHEAS level is associated with increased risk all-cause mortality in the elderly population.
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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 | 0.015 | 0.024 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.020 | 0.072 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".