Abstract P070: Risk of All-cause Mortality in Women versus Men With Type 2 Diabetes: A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Introduction: Previous studies have shown sex differences in the all cause mortality rate associated with type 2 diabetes. Hypothesis: We did a meta-analysis to provide reliable and comprehensive estimates of type 2 diabetes on risk of all-cause mortality in women versus men. Methods: We systematically searched PubMed, Embase, and Web of science for studies published from their starting dates to October 10, 2017. Studies were selected only if they reported sex-specific estimates of the standardized mortality ratio (SMR) or hazard ratios associated with type 2 diabetes for all-cause mortality. We used random effects meta-analyses with inverse-variance weighting to obtain sex-specific SMRs and their pooled ratio (women to men) for all-cause mortality. Study quality was assessed using the Newcastle–Ottawa scale. Results: Data from 30 studies including 2,307,694 individuals and 252,491 deaths occurred were included. The pooled women-to-men ratio of the SMR for all-cause mortality was 1·14 (95% CI 1.09-1.19, p<0.001; I 2 =81.6%). Compared with healthy counterparts, the pooled SMR for all-cause mortality in patients with T2D was 2.30(95%CI 1.97-2.68) in women, and 1.94(95%CI 1.73-2.18) in men, respectively. Sensitivity analysis with omission of one study at a time did not change the results of this meta-analysis. Conclusions: Women with type 2 diabetes have a roughly 14% greater excess risk of all-cause mortality compared with men counterparts. This meta-analysis was registered at the International Prospective Register of Systematic Reviews (Prospero) ( http://www.crd.york.ac.uk/PROSPERO ; registration number: CRD42017074187). Figure 1 .Pooled women-to-men ratios of SMRs for all-cause mortality, comparing people with type 2 diabetes versus healthy counterparts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".