Hypertensive disorders of pregnancy and the risk of maternal dementia: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: Hypertensive disorders of pregnancy, including preeclampsia, are associated with an increased risk for maternal cardiovascular disease, stroke, and chronic kidney disease. However, their association with subsequent maternal dementia or cognitive impairment is less well understood. This study aimed to review and synthesize the published literature on hypertensive disorders of pregnancy and the subsequent risk for maternal dementia or cognitive impairment. DATA SOURCES: PubMed, Web of Science, Pyschinfo, and CINAHL were searched from database inception until July 31, 2022, for observational studies of hypertensive disorders of pregnancy and maternal dementia or cognitive impairment. STUDY ELIGIBILITY CRITERIA: Selected studies included the following: a population of pregnant women, exposure to a hypertensive disorder of pregnancy of interest, and at least 1 primary outcome (dementia) or secondary outcome (cognitive impairment). Two reviewers were involved in study selection. METHODS: We followed the Meta-analyses of Observational Studies in Epidemiology guidelines throughout. Random-effects meta-analyses were used to calculate the overall pooled estimates. Bias was assessed using an adapted version of the validated Newcastle-Ottawa Quality Assessment tool. RESULTS: A total of 25 eligible studies were identified and included 2,501,673 women. Preeclampsia was associated with a significantly increased risk for vascular dementia (adjusted hazard ratio, 1.89; 95% confidence interval, 1.47-2.43), whereas no clear association was noted between preeclampsia and Alzheimer's disease (adjusted hazard ratio, 1.27; 95% confidence interval, 0.95-1.70), nor between preeclampsia and any (undifferentiated) dementia (adjusted hazard ratio, 1.18; 95% confidence interval, 0.95-1.47). However, in an analysis restricted to women aged 65 years and older, preeclampsia was associated with an increased risk for Alzheimer's disease (adjusted hazard ratio, 1.92; 95% confidence interval, 1.35-2.73) and any dementia (adjusted hazard ratio, 1.87; 95% confidence interval, 1.21-2.91). CONCLUSION: Women whose pregnancies were complicated by preeclampsia seem to be at a substantially increased future risk for vascular dementia. The longer-term risks among these women with regards to Alzheimer's disease and other forms of dementia are less clear.
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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 | 0.012 | 0.031 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.033 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| 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".