The presentation and management of cesarean scar defects: an updated review on an evolving diagnosis
Bibliographic record
Abstract
PURPOSE OF REVIEW: The purpose of this review is to provide a clinically relevant synthesis of the current literature on cesarean scar defects, focusing on their epidemiology and clinical presentation, diagnosis, treatment, and prevention. RECENT FINDINGS: Cesarean scar defects (CSDs) are an emerging area of gynecologic research, with an influx of higher quality cohorts, randomized controlled trials, and systematic reviews published within the last decade. Recent developments of importance include the European Niche Taskforce consensus on the measurement and diagnosis of CSDs, the proposal of clinical criteria for Cesarean scar disorder (CSDi), as well as the publication of several systematic reviews, which provide enhanced support for clinical decision-making in treatment strategies. Areas for continued research include risks factors for CSDs and preventive strategies, as well as their role in obstetrical complications. SUMMARY: CSDs are a common sonographic finding. While those incidentally identified in an asymptomatic population require no treatment, CSDs can cause significant burden in the form of abnormal uterine bleeding, pelvic pain, and infertility. Their role in obstetrical complications has yet to be fully elucidated. Given the high incidence of cesarean sections, many - if not all - providers of uterine care will encounter their sequalae. As such, continued awareness amongst all providers regarding their evaluation and management is key. VIDEO ABSTRACT: http://links.lww.com/COOG/A91.
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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".