Sonographic Association Of Placenta Accreta Spectrum In Patients Of Placenta Previa-A Systematic Review
Bibliographic record
Abstract
Aim: To determine the diagnostic accuracy and epidemiology of placenta accreta spectrum (PAS) in patients of placenta previa. Methods: PubMed, Google Scholar, ClinicalTrials.gov and MEDLINE were searched between January1992 and December 2020. Studies on placenta previa complicated by PAS diagnosed in a defined obstetric population. This research was carried out using standard methods and protocols and keeping in view Newcastle-Ottawa scale for observation and assessment of case study along with the difference approved by consensus. The overall diagnostic accuracy of ultrasonographic findings is the main outcome of this study, whereas the prevalence of placenta accreta in patients of placenta previa and its incidence among different countries all over the world is also described. Results: In this review study, about 300 articles were evaluated. More over about 15 prospective and 14 retrospective case studies incorporated for assessment having complication with placenta previa and PAS. According to the meta-analysis, a significant (p<0.001) heterogeneity was found between case research that evaluate PAS prevalence and incidence in the placenta previa cohort. The median prevalence in case of placenta previa along with PAS came out to be 0.113% (IQR 0.048–0.17).Whereas incidence in females having placenta previa along with complication of PAS came out to be 11.3%. Conclusions: The high level of diversity observed in results obtained by diagnostic and qualitative data showed strong emphasis should be made on implementation of standard methods and protocols for assessment and diagnosis of pregnancy complication like placenta previa, its type and PAS. Keywords: Sonography placenta previa, placenta accreta spectrum
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 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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.012 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".