Prevalence and associated factors of intraoperative Nausea and Vomiting of mothers who gave birth with cesarean section under regional anesthesia: a systematic review and meta-analysis; 2023
Bibliographic record
Abstract
Cesarean section is one of the most common obstetric procedures performed worldwide under spinal anesthesia which is a commonly practiced rapid, simple, and safe method. Vomiting and nausea are frequent side effects of many surgical procedures. However, with cesarean sections performed under regional anesthesia, this issue occurs even more frequently. The existing evidence regarding the prevalence and associated factors of intraoperative nausea and vomiting is inconsistent. Therefore, this systematic review and meta-analysis aimed to determine the pooled prevalence and associated factors of intraoperative nausea and vomiting. This is a systematic review and meta-analysis study that was done based on studies published within the last 10 years on the prevalence and associated factors of intraoperative nausea and vomiting during cesarean section under regional anesthesia. After PubMed, Google Scholar, HINAR, Scopus, Science Direct, and grey literature extensive search for primary studies, their quality was assessed with JBI and modified Newcastle Ottawa appraisal assessment tool and data was extracted. STATAMP version 17.0 was used for all possible analyses of the study. Twenty-nine studies were met the inclusion criteria of this systematic review and meta-analysis. However, only 21 studies were included by excluding eight studies due to inappropriate method & outcomes and language other than English. The pooled prevalence of intraoperative nausea and vomiting was 36% (95% CI- 31%, 41%) with heterogeneity (I2-93.1%). Premedicated with metoclopramide, uterus exteriorization, motion sickness, preeclampsia, and intraoperative propofol were associated with the prevalence of intraoperative nausea and vomiting significantly. The pooled prevalence of intraoperative nausea and vomiting during cesarean section under regional anesthesia was high (36%) which needs more strategies for prevention.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".