Prevalence of cesarean scar disorder in patients 3 years after a first cesarean section
Bibliographic record
Abstract
INTRODUCTION: A symptomatic uterine niche is a long-term complication after a cesarean section (CS). A group of international niche experts reached consensus on a standardized definition of a disorder caused by a symptomatic niche, named cesarean scar disorder (CSDi). However, the prevalence of this disorder is unclear. The aim of this study was to assess the prevalence of CSDi in patients 3 years after a first CS. MATERIAL AND METHODS: A secondary analysis was performed on the 3-year follow-up results of the 2Close study. The 2Close study was a multicenter randomized controlled trial that evaluated single- versus double-layer uterine closure at CS in 32 hospitals in the Netherlands and included 2292 patients (registered in Dutch trial register: [NTR5480]). Patients, aged ≥18 years, undergoing a first CS were included. Three months after their CS, transvaginal ultrasonography was performed to evaluate the uterine scar for the presence of a niche. Three years after their CS, a digital questionnaire was sent to evaluate the primary and secondary symptoms of CSDi. For this secondary analysis, patients were excluded if they were pregnant, breastfeeding, or using hormonal contraception. The primary outcome of the study was the prevalence of CSDi. RESULTS: Of the 1648 participants who completed the 3-year questionnaire, patients were excluded due to pregnancy or breastfeeding (n = 305), use of hormonal contraception (n = 509), missing ultrasound evaluations (n = 76), and incomplete responses (n = 88). Of the 670 patients included in this analysis, 543 (81.0%) had a uterine niche visible on ultrasound and 127 (19.0%) were without a niche. The prevalence of CSDi at 3 years following a first CS was 42.5% (285/670). Most reported symptoms were chronic pelvic pain (35.0%), postmenstrual spotting (32.8%), and abnormal vaginal discharge (23.2%). CONCLUSIONS: Our study found a high prevalence of CSDi 3 years following their first CS. Symptoms were self-reported and the exclusion criteria of pregnancy, breastfeeding, or hormonal contraception use could have introduced selection bias. Therefore, this percentage could be an overestimation of the actual prevalence. However, this high prevalence should be included in counseling patients with a scheduled CS.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".