An association between cytomegalovirus infection and pre‐eclampsia: a case–control study and data synthesis
Bibliographic record
Abstract
OBJECTIVE: Pre-eclampsia shares several similarities with atherosclerotic heart disease. We explored whether, like atherosclerosis, there is a potential link between cytomegalovirus (CMV) infection and pre-eclampsia. DESIGN: CMV IgG, IgM and IgA antibodies were determined by enzyme-linked immunosorbent assays in serums from pre-eclampsia (n = 78), normotensive intrauterine growth restriction (nIUGR) (n = 30) and normal pregnancy controls (n = 109). Data were analyzed by chi-squared, Kruskal-Wallis ANOVA and Mann-Whitney U-tests. Further, we conducted a comprehensive review of published studies on the relation between CMV infection and pre-eclampsia. Risk ratios (RRs) and 95% confidence interval (CI), according to CMV infection status, were calculated using Review Manager. MAIN OUTCOME MEASURES: Women with pre-eclampsia had increased CMV IgG seropositivity compared with nIUGR (p < 0.01) and normal pregnancy controls (p < 0.01). In addition, CMV IgG antibody level was higher in pre-eclampsia than normal pregnancy controls (p < 0.001). No difference was observed in CMV IgM or IgA among study groups. Data synthesis revealed that women with CMV infection were at higher risk in the development of pre-eclampsia, compared with women without CMV infection. Combined results for six studies yielded a RR of 1.5 (95% CI 1.2-1.9). CONCLUSION: CMV infection seems to affect the occurrence of pre-eclampsia. Evaluation of the relation between CMV infection and pre-eclampsia may provide mechanistic insights into pre-eclampsia-related inflammation.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".