SynthesisJournal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine2016
Can Screening Tools for Obstructive Sleep Apnea Predict Postoperative Complications? A Systematic Review of the Literature.
Synthesis in Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.
What it found
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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
5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.
- Impact of sleep disordered breathing on postoperative atrial fibrillation in patients who underwent cardiac surgery: a meta-analysis.Annals of medicine · 2022Pooled it
- Validation of the STOP-Bang questionnaire as a preoperative screening tool for obstructive sleep apnea: a systematic review and meta-analysis.BMC anesthesiology · 2022Pooled it
- International Consensus Statement on Obstructive Sleep Apnea.International forum of allergy & rhinology · 2023Review
- DOISNORE50: a perioperative sleep questionnaire predictive of obstructive sleep apnea and postoperative medical emergency team activation. A learning health system approach to sleep questionnaire development and screening.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2022Article
- Development and validation of a Score for Preoperative Prediction of Obstructive Sleep Apnea (SPOSA) and its perioperative outcomes.BMC anesthesiology · 2017Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
STUDY
objectivesObstructive sleep apnea (OSA) is a common, underdiagnosed condition that is associated with significant morbidity and mortality in the perioperative setting. Increasing evidence suggests that the utility of preoperative screening tools may go beyond identification of OSA, to the prediction of perioperative complications. The primary objective of this study was to systematically review the literature on all studies assessing whether high risk scores on the STOP-Bang questionnaire, American Society of Anesthesiologists (ASA) checklist, and the Berlin Questionnaire (BQ) are associated with higher rates of postoperative complications.
methodsA systematic review of English language records was performed using Medline, EMBASE, and PsychInfo with additional studies identified by manual search through reference lists. Only studies that evaluated the ability of the STOP-Bang, the BQ, and ASA checklist to predict postoperative complications in adults were included.
resultsTwelve studies were included in the final review. Eight studies looked at STOP-Bang, 3 at the Berlin Questionnaire, and 2 at the ASA Checklist. Significant differences across study characteristics prevented a meta-analysis and the studies were evaluated qualitatively.
conclusionsThe ASA checklist, Berlin Questionnaire, and STOP-Bang questionnaire may be able to risk stratify patients for perioperative and postoperative complications. Further research is required, with a particular focus on specific surgery types and adjustment of potentially confounding factors in the analysis.
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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.