ArticleCureus2025
STOP-Bang-Defined Obstructive Sleep Apnea Risk and Postoperative Nausea and Vomiting in Laparoscopic Surgery Patients: A Prospective Cohort Study.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundObstructive sleep apnea (OSA) is frequently underdiagnosed and may influence perioperative outcomes. Postoperative nausea and vomiting (PONV) are common adverse effects following laparoscopic surgery. The purpose of this study was to determine the relationship between PONV and the risk or predisposition of OSA based upon STOP-Bang criteria in laparoscopic surgery patients.
methodsThis is a prospective cohort study conducted in government and private hospitals in Lahore from January to July 2025. The sample consisted of 200 patients who underwent elective laparoscopic surgery under general anesthesia, recruited via convenience sampling. The OSA risk was categorised using the STOP-Bang questionnaire, whereas PONV was measured by the Apfel simplified risk score and the visual analogue scale (VAS). Statistical analyses were performed using SPSS v.26, including descriptive statistics, Spearman correlations, Mann-Whitney U tests, Kruskal-Wallis tests, chi-square tests, and multiple linear regression analyses, while controlling for age, gender, medication use, surgical history, and anesthesia history.
resultsAmong the 200 participants, 152 (76%) were female, and 48 (24%) were male. The most common age ranges were 56-60 years (73 participants, 36%) and 46-55 years (54 participants, 27%). The relationships among the Apfel, VAS, and STOP-Bang scores showed moderately positive correlations (r = 0.23, p < 0.01; r = 0.19, p < 0.01). Regression analysis showed that STOP-Bang scores (beta = 0.152, p = 0.003), nausea severity (beta = 0.176, p = 0.003), female gender (beta = 0.125, p = 0.008), and medication use (beta = 0.142, p = 0.003) were associated with higher Apfel scores. Younger age was associated with higher PONV scores (χ² = 21.77, p = 0.001). Female patients scored significantly higher on the STOP-Bang, Apfel, and VAS than males (p < 0.05).
conclusionSTOP-Bang-defined OSA risk has a significant association with PONV in laparoscopic surgery patients. Female gender and younger age increased susceptibility to PONV, whereas OSA risk was augmented in older people. These results illustrate the clinical utility of integrating STOP-Bang screening into preoperative evaluation to optimise perioperative care and individualise preventive measures against PONV. These findings support integrating STOP-Bang screening into preoperative risk assessment to improve postoperative outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.