Complications during Vaginal Sacrospinous Fixation along with McCall Culdoplasty in Stage III and IV POP
Bibliographic record
Abstract
In Bangladesh, about half a million women are suffering from stage III or IV pelvic organ prolapse (POP). With traditional surgical methods, there is a chance of recurrence, especially of apical prolapse. Sacrospinous fixation (SSF) along with MacCall Culdoplasty during vaginal hysterectomy can reduce this recurrence rate enormously. This study was designed to identify, manage as well as to prevent per-/post-operative complications during SSF. The study period was from August 2017 to December 2021 at Kumudini Women’s Medical College and Hospital, Bangladesh. Total 335 stage III and IV utero-vaginal prolapse cases were included in this study. The surgeries performed were vaginal hysterectomy followed by modified McCall Culdoplasty and right-sided vaginal sacrospinous ligament fixation (SSF) along with anterior and posterior fascial closure and perineorrhaphy. A standard data collection sheet was used to record the information. Per-operatively, main complications were hemorrhage (3.57%) due to vessel injury and rectal injury (0.90%). The immediate early postoperative complication was buttock pain (24%). Of these, in 97.53% cases, pain subsided within 6 weeks with analgesic and counselling. Only one patient had recurrence of apical prolapse within 1st week of operation. It should be concluded that with proper knowledge of anatomy and careful surgical technique, most of the complications can be avoided. Bangladesh J Obstet Gynaecol, 2022; Vol. 37(2): 90-97
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".