Association Between Maternal Human Papillomavirus Infection and Adverse Pregnancy Outcomes: Systematic Review and Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Experimental studies provide evidence of the harmful effect of human papillomavirus (HPV) infection on pregnancy, but observational studies are inconclusive. We systematically assessed the association between HPV and adverse pregnancy outcomes. METHODS: We searched electronic databases up to December 1, 2019. We included observational studies on the association between HPV and adverse pregnancy outcomes. We conducted a random-effect meta-analysis for each outcome and assessed heterogeneity between studies. RESULTS: From 3034 citations, we included 38 studies and quantitatively synthesized 36 studies. Human papillomavirus was significantly associated with preterm birth (age-adjusted odds ratio [aOR], 1.50; 95% confidence interval [CI], 1.19-1.88), preterm premature rupture of membranes (aOR, 1.96; 95% CI, 1.11-3.45), premature rupture of membranes (aOR, 1.42; 95% CI, 1.08-1.86), intrauterine growth restriction (aOR, 1.17; 95% CI, 1.01-1.37), low birth weight (aOR, 1.91; 95% CI, 1.33-2.76), and fetal death (aOR, 2.23; 95% CI, 1.14-4.37). No significant association was found for spontaneous abortion (aOR, 1.14; 95% CI, 0.40-3.22) and pregnancy-induced hypertensive disorders (aOR, 1.24; 95% CI, 0.80-1.92). Most of the studies were of moderate or low quality, and substantial between-studies heterogeneity remained unexplained. CONCLUSIONS: We found a consistent and significant association between HPV and preterm birth and preterm premature rupture of membranes. Human papillomavirus may also be associated with intrauterine growth restriction, low birth weight, and fetal death, but findings are limited by suboptimal control of biases.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".