Arterial stiffness after 6 weeks postdelivery in women with a history of hypertensive disorders of pregnancy: a systematic review protocol
Bibliographic record
Abstract
INTRODUCTION: Hypertensive disorders of pregnancy (HDP) are one of the leading causes of maternal morbidity and mortality. The risk of developing cardiovascular diseases following HDP is high. Arterial stiffness is a prognostic indicator for cardiovascular disease in the general population, and it is elevated during pregnancy in women with HDP. No systematic reviews have been conducted to determine if arterial stiffness remains elevated beyond puerperium in these women with HDP. METHODS AND ANALYSIS: We will conduct a systematic literature search in the following electronic databases: Medline, PubMed, Embase, Cochrane Library, Google Scholar, Web of Science and CINAHL. The review will consider studies that investigate arterial stiffness in women who had HPD and are between 43 days and 10 years postdelivery and under 60 years of age. This systematic review will follow the Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols guidelines. Estimates of mean ± SD for arterial stiffness indices (cfPWV, AIx and AIx@75) for the women in the included studies will be obtained. For studies where the estimates were reported as the median and IQR, approximate estimates of mean ± SD will be calculated by using the low and high end of the range, median and sample size. Data from the individual studies will be pooled by use of a random-effects model. The risk of bias assessment will be assessed using the Cochrane Collaboration tool and the Newcastle-Ottawa Quality Assessment Scale as appropriate. Sources of heterogeneity will be explored by sensitivity and subgroup analyses. ETHICS AND DISSEMINATION: No ethics approval is required as only published data will be used in this study. The research study's outcomes will be shared through scientific conferences and peer-reviewed publications. PROSPERO REGISTRATION NUMBER: CRD42023461867.
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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 | 0.044 | 0.051 |
| Meta-epidemiology (narrow) | 0.005 | 0.005 |
| Meta-epidemiology (broad) | 0.024 | 0.020 |
| Bibliometrics | 0.014 | 0.011 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.007 | 0.009 |
| Open science | 0.005 | 0.005 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.055 | 0.006 |
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".