Validation of the STOP-Bang Questionnaire as a Screening Tool for Obstructive Sleep Apnea among Different Populations: A Systematic Review and Meta-Analysis
Open accessAbstract
BACKGROUND: Diagnosing obstructive sleep apnea (OSA) is clinically relevant because untreated OSA has been associated with increased morbidity and mortality. The STOP-Bang questionnaire is a validated screening tool for OSA. We conducted a systematic review and meta-analysis to determine the effectiveness of STOP-Bang for screening patients suspected of having OSA and to predict its accuracy in determining the severity of OSA in the different populations. METHODS: A search of the literature databases was performed. Inclusion criteria were: 1) Studies that used STOP-Bang questionnaire as a screening tool for OSA in adult subjects (>18 years); 2) The accuracy of the STOP-Bang questionnaire was validated by polysomnography--the gold standard for diagnosing OSA; 3) OSA was clearly defined as apnea/hypopnea index (AHI) or respiratory disturbance index (RDI) ≥ 5; 4) Publications in the English language. The quality of the studies were explicitly described and coded according to the Cochrane Methods group on the screening and diagnostic tests. RESULTS: Seventeen studies including 9,206 patients met criteria for the systematic review. In the sleep clinic population, the sensitivity was 90%, 94% and 96% to detect any OSA (AHI ≥ 5), moderate-to-severe OSA (AHI ≥15), and severe OSA (AHI ≥30) respectively. The corresponding NPV was 46%, 75% and 90%. A similar trend was found in the surgical population. In the sleep clinic population, the probability of severe OSA with a STOP-Bang score of 3 was 25%. With a stepwise increase of the STOP-Bang score to 4, 5, 6 and 7/8, the probability rose proportionally to 35%, 45%, 55% and 75%, respectively. In the surgical population, the probability of severe OSA with a STOP-Bang score of 3 was 15%. With a stepwise increase of the STOP-Bang score to 4, 5, 6 and 7/8, the probability increased to 25%, 35%, 45% and 65%, respectively. CONCLUSION: This meta-analysis confirms the high performance of the STOP-Bang questionnaire in the sleep clinic and surgical population for screening of OSA. The higher the STOP-Bang score, the greater is the probability of moderate-to-severe OSA.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Among surgical patients, the STOP-BANG questionnaire has reported sensitivity of 91%.
“the Berlin and STOP-BANG questionnaires have reported sensitivities of 79%–82% and 91% respectively among surgical patients”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The pooled predictive parameters section reports 91% sensitivity for STOP-Bang among surgical patients, but specifically for detecting moderate-to-severe OSA with a score of 3 as the cut-off. The citing sentence omits that qualification; the same passage reports 84% sensitivity for any OSA. (LLM, conf=0.87)
Experimental — accuracy not yet measuredThe STOP-BANG questionnaire has a sensitivity of 94% for identifying clinically relevant OSA.
“The Berlin and STOP-BANG questionnaires have sensitivities of 82% and 94%, respectively,422,423”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The ‘Predictive parameters ... in the sleep clinic population’ passage reports 94% pooled sensitivity for moderate-to-severe OSA at a STOP-Bang cutoff of 3. The citing sentence gives 94% without those qualifications; the paper reports different sensitivities for surgical patients and the general population. (LLM, conf=0.88)
Experimental — accuracy not yet measuredA STOP-BANG cutoff score of 5 had the best combination of sensitivity and specificity for moderate-severe OSA (AHI ≥ 15) in sleep medicine (60%, 72%) and surgical populations (45%, 56%).
“The ROC curves for the STOP-BANG at different OSA severity classes showed a STOP-BANG cutoff score of 5 had the best combination of sensitivity and specificity for moderate-severe OSA (AHI ≥ 15) in sleep medicine (60%, 72%) and surgical populations (45%, 56%).”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
Table 4 (Discussion; page unavailable) reports exactly the stated sensitivity and specificity at a STOP-Bang cutoff of 5 for moderate-to-severe OSA: 60% and 72% in sleep-clinic patients, and 45% and 56% in surgical patients. The paper reports results across cutoffs but does not identify 5 as having the best combination of sensitivity and specificity. (LLM, conf=0.87)
Experimental — accuracy not yet measuredAmong general clinic patients, the STOP-BANG questionnaire has reported sensitivity of 88%.
“and 89% and 88% respectively among general clinic patients.”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The section on predictive parameters in the general population (page not available) reports 88% sensitivity for detecting moderate-to-severe OSA, but its participants were from the Sleep Heart Health Study, not general clinic patients. The same section reports different pooled sensitivities for sleep-clinic patients, so the claimed population is not supported. (LLM, conf=0.88)
Experimental — accuracy not yet measuredThe STOP-BANG is an 8-question survey with four subjective and four objective items, each positive item contributing 1 point up to 8.
“The STOP-BANG is an 8-question survey including four subjective and four objective items with each positive item contributing 1 point for a maximum score of 8 points.”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The Introduction describes four subjective STOP items and four demographic Bang items; the scoring analysis uses scores up to 8. The paper does not explicitly say that each positive item contributes one point, so that scoring detail is not fully supported by our copy. (LLM, conf=0.82)
Experimental — accuracy not yet measured
The Berlin, STOP-BANG, and NoSAS are validated clinical questionnaires for assessing OSA risk.
“Clinical questionnaires validated to assess the risk of OSA include the Berlin,422 STOP-BANG,423 and NoSAS424–428 screening tools.”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
At a cutoff score of 5, the STOP-BANG had the best combination of sensitivity and specificity for severe OSA (AHI ≥ 30) in sleep clinic patients (66%, 66%) and surgical patients (56%, 74%).
“At this cutoff score, the STOP-BANG also has the best combination of sensitivity and specificity for severe OSA (AHI ≥ 30) in sleep clinic patients (66%, 66%) and surgical patients (56%, 74%).”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The Berlin questionnaire has a sensitivity of 82% for identifying clinically relevant OSA.
“The Berlin and STOP-BANG questionnaires have sensitivities of 82% and 94%, respectively,422,423”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The Results section reports 94% sensitivity for STOP-Bang in detecting moderate-to-severe OSA in sleep-clinic patients, but does not report 82% sensitivity for the Berlin questionnaire. A search of our copy for Berlin questionnaire sensitivity found only a reference identifying that questionnaire, not the claimed figure. The cited paper supports the STOP-Bang half of the printed sentence, not the Berlin claim assessed here. (LLM, conf=0.76)
Experimental — accuracy not yet measuredAmong surgical patients, the Berlin questionnaire has reported sensitivity of 79%-82%.
“the Berlin and STOP-BANG questionnaires have reported sensitivities of 79%–82% and 91% respectively among surgical patients”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The surgical-population results report STOP-Bang sensitivities, including 91% for moderate-to-severe OSA, but do not report a Berlin questionnaire sensitivity. A search for “Berlin questionnaire” found it in the References, without the claimed 79%–82% figure for surgical patients. (LLM, conf=0.76)
Experimental — accuracy not yet measuredAmong general clinic patients, the Berlin questionnaire has reported sensitivity of 89%.
“and 89% and 88% respectively among general clinic patients.”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [423]
The paper’s Introduction and results discuss STOP-Bang sensitivity, not an 89% sensitivity for the Berlin questionnaire among general clinic patients. A search for the Berlin questionnaire found it in the References, but no passage reporting the claimed figure or population; pages are unavailable in our copy. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Increased Prevalence of Sleep-Disordered Breathing in Adults
Peppard, P. E., Young, T., Barnet, J. H., Palta, M., Hagen, E. W., & Hla, K. M. (2013) · American Journal of Epidemiology · doi:10.1093/aje/kws342 · Cited by 4,618 · see citing works
Using the Berlin Questionnaire To Identify Patients at Risk for the Sleep Apnea Syndrome
Netzer, N. C., Stoohs, R. A., Netzer, C. M., Clark, K., & Strohl, K. P. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-131-7-199910050-00002 · Cited by 2,973 · see citing works
STOP Questionnaire: A Tool to Screen Patients for Obstructive Sleep Apnea
Chung, F., Yegneswaran, B., Liao, P., Chung, S. A., Vairavanathan, S., Islam, S., Khajehdehi, A., & Shapiro, C. M. (2008) · Anesthesiology · doi:10.1097/aln.0b013e31816d83e4 · Cited by 2,355 · see citing works
Self-citationSleep Disordered Breathing and Mortality: Eighteen-Year Follow-up of the Wisconsin Sleep Cohort
(2008) · Sleep · doi:10.5665/sleep/31.8.1071 · Cited by 1,853 · see citing works
Young, T., Evans, L., Finn, L., & Palta, M. (1997) · Sleep · doi:10.1093/sleep/20.9.705 · Cited by 1,765 · see citing works
Practice Guidelines for the Perioperative Management of Patients with Obstructive Sleep Apnea
Gross, J. B., Bachenberg, K. L., Benumof, J. L., Caplan, R. A., Connis, R. T., Coté, C. J., Nickinovich, D. G., Prachand, V. N., Ward, D. S., Weaver, E. M., et al. (2006) · Anesthesiology · doi:10.1097/00000542-200605000-00026 · Cited by 1,182 · see citing works
High STOP-Bang score indicates a high probability of obstructive sleep apnoea
Chung, F., Subramanyam, R., Liao, P., Sasaki, E., Shapiro, C., & Sun, Y. (2012) · British Journal of Anaesthesia · doi:10.1093/bja/aes022 · Cited by 988 · see citing works
Self-citationSleep Apnea as an Independent Risk Factor for All-Cause Mortality: The Busselton Health Study
(2008) · Sleep · doi:10.5665/sleep/31.8.1079 · Cited by 889 · see citing works
Drager, L. F., Togeiro, S. M., Polotsky, V. Y., & Lorenzi-Filho, G. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.05.045 · Cited by 886 · see citing works
Practice Guidelines for the Perioperative Management of Patients with Obstructive Sleep Apnea
(2013) · Anesthesiology · doi:10.1097/aln.0000000000000053 · Cited by 691 · see citing works
A systematic review of screening questionnaires for obstructive sleep apnea
Abrishami, A., Khajehdehi, A., & Chung, F. (2010) · Canadian Journal of Anesthesia/Journal canadien d'anesthésie · doi:10.1007/s12630-010-9280-x · Cited by 581 · see citing works
Self-citationThe Sleep Disorders Questionnaire I: Creation and Multivariate Structure of SDQ
Douglass, A. B., Bomstein, R., Nino‐Murcia, G., Keenan, S. A., Miles, L. E. M., Zarcone, V. P., Guilleminault, C., & Dement, W. C. (1994) · SLEEP · doi:10.1093/sleep/17.2.160 · Cited by 560 · see citing works
Finkel, K. J., Searleman, A. C., Tymkew, H., Tanaka, C. Y., Saager, L., Safer-Zadeh, E., Bottros, M. M., Selvidge, J. A., Jacobsohn, E., Pulley, D. D., et al. (2009) · Sleep Medicine · doi:10.1016/j.sleep.2008.08.007 · Cited by 459 · see citing works
Meta-analysis of the association between obstructive sleep apnoea and postoperative outcome
Kaw, R., Chung, F., Pasupuleti, V., Mehta, J., Gay, P. C., & Hernandez, A. V. (2012) · British Journal of Anaesthesia · doi:10.1093/bja/aes308 · Cited by 449 · see citing works
Self-citationObstructive Sleep-Related Breathing Disorders in Patients Evaluated for Bariatric Surgery
Frey, W. C., & Pilcher, J. (2003) · Obesity Surgery · doi:10.1381/096089203322509228 · Cited by 410 · see citing works
Prevalence and Risk Factors of Obstructive Sleep Apnea Syndrome in a Population of Delhi, India
Sharma, S. K., Kumpawat, S., Banga, A., & Goel, A. (2006) · CHEST Journal · doi:10.1378/chest.130.1.149 · Cited by 335 · see citing works
Perioperative Pulmonary Outcomes in Patients with Sleep Apnea After Noncardiac Surgery
Memtsoudis, S., Liu, S. S., Ma, Y., Chiu, Y. L., Walz, J. M., Gaber-Baylis, L. K., & Mazumdar, M. (2011) · Anesthesia & Analgesia · doi:10.1213/ane.0b013e3182009abf · Cited by 311 · see citing works
Self-citationProportion of surgical patients with undiagnosed obstructive sleep apnoea
Singh, M., Liao, P., Kobah, S., Wijeysundera, D. N., Shapiro, C. M., & Chung, F. F. (2012) · British Journal of Anaesthesia · doi:10.1093/bja/aes465 · Cited by 308 · see citing works
Self-citationA Meta-analysis of Clinical Screening Tests for Obstructive Sleep Apnea
Ramachandran, S. K., & Josephs, L. A. (2009) · Anesthesiology · doi:10.1097/aln.0b013e31819c47b6 · Cited by 297 · see citing works
Self-citationSilva, G. E., Vana, K. D., Goodwin, J. L., Sherrill, D. L., & Quan, S. F. (2011) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.1308 · Cited by 291 · cited 9× · see citing works
“Two studies each defined OSA as either AHI 15[19,32], or RDI 15 respectively.[31,33].”
BackgroundMethodInfluentialChung, F. F., Yang, Y., Brown, R., & Liao, P. (2014) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.4022 · Cited by 249 · see citing works
Self-citationFarney, R. J., Walker, B. S., Farney, R. M., Snow, G. L., & Walker, J. M. (2011) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.1306 · Cited by 246 · see citing works
A Matched Cohort Study of Postoperative Outcomes in Obstructive Sleep Apnea
Mutter, T. C., Chateau, D. G., MOFFATT, M. E. K., Ramsey, C. D., Roos, L. L., & Kryger, M. H. (2014) · Anesthesiology · doi:10.1097/aln.0000000000000407 · Cited by 236 · see citing works
Chung, F. F., Yang, Y., & Liao, P. (2013) · Obesity Surgery · doi:10.1007/s11695-013-1006-z · Cited by 232 · see citing works
Self-citationSleep-Disordered Breathing and Postoperative Outcomes After Elective Surgery
Mokhlesi, B., Hovda, M. D., Vekhter, B., Arora, V. M., Chung, F., & Meltzer, D. O. (2013) · Chest · doi:10.1378/chest.12-2905 · Cited by 194 · see citing works
Self-citationThe Impact of Sleep Apnea on Postoperative Utilization of Resources and Adverse Outcomes
Memtsoudis, S. G., Stundner, O., Rasul, R., Chiu, Y.-L., Sun, X., Ramachandran, S. K., Kaw, R. K., Fleischut, P. M., & Mazumdar, M. (2014) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000000051 · Cited by 189 · see citing works
Self-citationObstructive Sleep Apnea Syndrome and Postoperative Complications
Vasu, T. S., Doghramji, K., Cavallazzi, R., Grewal, R. G., Hirani, A., Leiby, B. E., Markov, D., Reiter, D. M., Kraft, W. K., & Witkowski, T. A. (2010) · Archives of Otolaryngology - Head and Neck Surgery · doi:10.1001/archoto.2010.1020 · Cited by 174 · see citing works
Abdelsattar, Z. M., Hendren, S. K., Wong, S. L., Campbell, D. A., & Ramachandran, S. K. (2015) · SLEEP · doi:10.5665/sleep.4892 · Cited by 137 · see citing works
Self-citationNagappa, M., Mokhlesi, B., Wong, J., Wong, D. T., Kaw, R. K., & Chung, F. F. (2015) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000000634 · Cited by 136 · see citing works
Self-citationSerum Bicarbonate Level Improves Specificity of STOP-Bang Screening for Obstructive Sleep Apnea
Chung, F. F., Chau, E. H., Yang, Y., Liao, P., Hall, R., & Mokhlesi, B. (2012) · CHEST Journal · doi:10.1378/chest.12-1132 · Cited by 125 · see citing works
Self-citationComparison of four sleep questionnaires for screening obstructive sleep apnea
El-Sayed, I. H. (2012) · Egyptian Journal of Chest Diseases and Tuberculosis · doi:10.1016/j.ejcdt.2012.07.003 · Cited by 123 · see citing works
Simplifying STOP-BANG: use of a simple questionnaire to screen for OSA in an Asian population
Ong, T. H., Raudha, S., Fook-Chong, S. M. C., Lew, N., & Hsu, A. A. L. (2010) · Sleep And Breathing · doi:10.1007/s11325-010-0350-7 · Cited by 117 · see citing works
Chervin, R. D. (2013) · Journal of Sleep Disorders Treatment & Care · doi:10.4172/2325-9639.1000121 · Cited by 108 · see citing works
Mokhlesi, B., Hovda, M. D., Vekhter, B., Arora, V. M., Chung, F., & Meltzer, D. O. (2013) · Obesity Surgery · doi:10.1007/s11695-013-0991-2 · Cited by 108 · see citing works
Self-citationObstructive sleep apnea screening and postoperative mortality in a large surgical cohort
Lockhart, E. M., Willingham, M. D., Abdallah, A. B., Helsten, D. L., Bedair, B. A., Thomas, J., Duntley, S., & Avidan, M. S. (2013) · Sleep Medicine · doi:10.1016/j.sleep.2012.10.018 · Cited by 98 · see citing works
Vana, K. D., Silva, G. E., & Goldberg, R. (2013) · Research in Nursing and Health · doi:10.1002/nur.21512 · Cited by 96 · see citing works
CPAP Adherence in Patients with Newly Diagnosed Obstructive Sleep Apnea prior to Elective Surgery
Guralnick, A. S., Pant, M. L., Minhaj, M. M., Sweitzer, B. J., & Mokhlesi, B. (2012) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.2140 · Cited by 94 · see citing works
Self-citationPereira, E. J., Driver, H. S., Stewart, S., & Fitzpatrick, M. (2013) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.3264 · Cited by 90 · see citing works
Impact of OSA on Cardiovascular Events After Coronary Artery Bypass Surgery
Uchôa, C. H. G., Danzi, N. J., Nunes, F., de Souza, A. A. L., Nerbass, F. B., Pedrosa, R. P., César, L. A. M., Lorenzi‐Filho, G., & Drager, L. F. (2015) · CHEST Journal · doi:10.1378/chest.14-2152 · Cited by 88 · see citing works
Coté, G. A., Hovis, C. E., Hovis, R. M., Waldbaum, L., Early, D. S., Edmundowicz, S. A., Azar, R. R., Mullady, D. K., & Jonnalagadda, S. S. (2010) · Clinical Gastroenterology and Hepatology · doi:10.1016/j.cgh.2010.05.015 · Cited by 81 · see citing works
Diagnostic Value of Screening Instruments for Identifying Obstructive Sleep Apnea in Kidney Failure
Nicholl, D. D. M., Ahmed, S. B., Loewen, A. H. S., Hemmelgarn, B. R., Sola, D. Y., Beecroft, J. M., Turin, T. C., & Hanly, P. J. (2013) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.2334 · Cited by 67 · see citing works
Predicting sleep disordered breathing in outpatients with suspected OSA
Cowan, D. C., Allardice, G., MacFarlane, D., Ramsay, D., Ambler, H., Banham, S. W., Livingston, E., & Carlin, C. M. (2014) · BMJ Open · doi:10.1136/bmjopen-2013-004519 · Cited by 63 · see citing works
Mehta, P. P., Kochhar, G. S., Kalra, S. S., Maurer, W. G., Tetzlaff, J., Singh, G., López, R., Sanaka, M. R., & Vargo, J. J. (2013) · Gastrointestinal Endoscopy · doi:10.1016/j.gie.2013.09.022 · Cited by 62 · see citing works
Haraldsson, P.-O., Carenfelt, C., KNUTSSON, E., Persson, H., & Rinder, J. (1992) · SLEEP · doi:10.1093/sleep/15.3.261 · Cited by 61 · see citing works
The association of pre‐operative STOP ‐ BANG scores with postoperative critical care admission
Chia, Y. Y. P., Seet, E. C. P., Macachor, J., Iyer, U. S., & Wu, D. (2013) · Anaesthesia · doi:10.1111/anae.12369 · Cited by 59 · see citing works
Proczko, M. A., Stepaniak, P. S., de Quelerij, M., van der Lely, F. H., Smulders, J., Kaska, L., & Soliman Hamad, M. A. (2014) · Journal of Anesthesia · doi:10.1007/s00540-014-1848-0 · Cited by 55 · see citing works
Pereira, H., Xará, D., Mendonça, J., Santos, A., & Abelha, F. (2013) · Revista Portuguesa de Pneumologia · doi:10.1016/j.rppneu.2013.01.003 · Cited by 52 · see citing works
Reis, R., Teixeira, F., Martins, V., Sousa, L., Batata, L., Santos, C., & Moutinho, J. (2015) · Revista Portuguesa de Pneumologia · doi:10.1016/j.rppnen.2014.04.009 · Cited by 50 · see citing works
Alam, A., Chengappa, K. N. R., & Ghinassi, F. (2012) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2012.06.015 · Cited by 48 · see citing works
Nunes, F., Danzi, N. J., Genta, P. R., Drager, L. F., César, L. A. M., & Lorenzi‐Filho, G. (2014) · Sleep And Breathing · doi:10.1007/s11325-014-0971-3 · Cited by 43 · see citing works
Fırat, H., Yüceege, M., Demır, A. U., & Ardıç, S. (2012) · Sleep and Biological Rhythms · doi:10.1111/j.1479-8425.2012.00566.x · Cited by 41 · see citing works
Ha, S. C. N., Lee, D. L. Y., Abdullah, V. J., & van Hasselt, C. A. (2014) · Sleep And Breathing · doi:10.1007/s11325-013-0889-1 · Cited by 40 · see citing works
Eliminating respiratory intensive care unit stay after gastric bypass surgery
Hallowell, P. T., Stellato, T. A., Petrozzi, M. C., Schuster, M., Graf, K., Robinson, A., & Jasper, J. J. (2007) · Surgery · doi:10.1016/j.surg.2007.08.002 · Cited by 37 · see citing works
Does the STOP-Bang, an obstructive sleep apnea screening tool, predict difficult intubation?
Hakan Volkan, A. C. A. R., Uysal, H. Y., Kaya, A., Ceyhan, A., & Dikmen, B. (2014) · PubMed · Cited by 37 · see citing works
Luo, J., Huang, R., Zhong, X., Xiao, Y., & Zhou, J. (2014) · Chinese Medical Journal · doi:10.3760/cma.j.issn.0366-6999.20133003 · Cited by 37 · see citing works
Hakan Volkan, A. C. A. R., Kaya, A., Yücel, F., Erdem, M., Günal, S., Özgen, F., & Dikmen, B. (2013) · Türk anesteziyoloji ve reanimasyon derneği dergisi · doi:10.5152/tjar.2013.46 · Cited by 34 · see citing works
5-Years APAP adherence in OSA patients – Do first impressions matter?
van Zeller, M., Severo, M., Santos, A. C., & Drummond, M. (2013) · Respiratory Medicine · doi:10.1016/j.rmed.2013.10.011 · Cited by 33 · see citing works
Ozoh, O. B., Okubadejo, N. U., Akanbi, M. O., & Dania, M. G. (2013) · Nigerian Medical Journal · doi:10.4103/0300-1652.119607 · Cited by 33 · see citing works
Agrawal, S., Gupta, R. M., Lahan, V., Mustafa, G., & Kaur, U. (2013) · Saudi Journal of Anaesthesia · doi:10.4103/1658-354x.114072 · Cited by 23 · see citing works
Postoperative Complications Associated with Obstructive Sleep Apnea
Chung, F. F., & Mokhlesi, B. (2014) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000000067 · Cited by 22 · see citing works
Self-citationSTOP-BANG Questionnaire Performance in a Veterans Affairs Unattended Sleep Study Program
Kunisaki, K. M., Brown, K. E., Fabbrini, A. E., Wetherbee, E., & Rector, T. S. (2014) · Annals of the American Thoracic Society · doi:10.1513/annalsats.201305-134oc · Cited by 21 · see citing works
Obstructive sleep apnea in general surgery patients: is it more common than we think?
Kulkarni, G. V., Horst, A., Eberhardt, J. M., Kumar, S., & Sarker, S. (2013) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2013.09.018 · Cited by 20 · see citing works
Kim, G. H., Lee, J., Choi, S. J., Shin, B. S., Lee, A. R., Lee, S. H., & Kim, M. H. (2012) · Anaesthesia · doi:10.1111/j.1365-2044.2012.07115.x · Cited by 16 · see citing works
Coelho, F. M. S., Pradella-Hallinan, M. L. D. C., Palombini, L., et al. (2012) · Sleep Medicine · doi:10.1016/j.sleep.2012.01.008 · Cited by 15 · see citing works
Yu, Y., Mei, W., & Cui, Y. (2012) · PubMed · Cited by 12 · see citing works
Abdelsattar, Z. M., Hendren, S. K., Wong, S. L., et al. (2014) · Journal of the American College of Surgeons · doi:10.1016/j.jamcollsurg.2014.07.265 · Cited by 10 · see citing works
Treatment of REM behaviour disorder – An evidence based review
Devnani, P. (2013) · Sleep Medicine · doi:10.1016/j.sleep.2013.11.013 · Cited by 2 · see citing works
Barbero (2014) · doi:10.1016/j · Cited by 1 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Young, T. (2002) · Archives of Internal Medicine · doi:10.1001/archinte.162.8.893 · Cited by 1,304 · see citing works
Chung, F., Memtsoudis, S. G., Ramachandran, S. K., Nagappa, M., Opperer, M., Cozowicz, C., Patrawala, S., Lam, D., Kumar, A., Joshi, G. P., et al. (2016) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000001416 · Cited by 360 · see citing works
Self-citationInternational Consensus Statement on Obstructive Sleep Apnea
Chang, J. L., Goldberg, A. N., Alt, J. A., Mohammed, A., Ashbrook, L., Auckley, D., Ayappa, I., Bakhtiar, H., Barrera, J. E., Bartley, B. L., et al. (2023) · International Forum of Allergy & Rhinology · doi:10.1002/alr.23079 · Cited by 350 · see citing works
Self-citationSenaratna, C. V., Perret, J. L., Matheson, M. C., Lodge, C. J., Lowe, A. J., Cassim, R., Russell, M. A., Burgess, J. A., Hamilton, G. S., & Dharmage, S. C. (2017) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2017.04.001 · Cited by 214 · see citing works
Johnson, D. A., Guo, N., Rueschman, M., Wang, R., Wilson, J. G., & Redline, S. (2018) · Sleep · doi:10.1093/sleep/zsy154 · Cited by 126 · see citing works
The Value of Oxygen Desaturation Index for Diagnosing Obstructive Sleep Apnea: A Systematic Review
Rashid, N. H., Zaghi, S., Scapuccin, M., Camacho, M., Certal, V., & Capasso, R. (2021) · The Laryngoscope · doi:10.1002/lary.28663 · Cited by 115 · see citing works
European Respiratory Society statement on sleep apnoea, sleepiness and driving risk
Bonsignore, M. R., Randerath, W., Schiza, S., Verbraecken, J., Elliott, M. W., Riha, R., Barbe, F., Bouloukaki, I., Castrogiovanni, A., Deleanu, O., et al. (2021) · European Respiratory Journal · doi:10.1183/13993003.01272-2020 · Cited by 84 · see citing works
Fernandez-Bustamante, A., Bartels, K., Clavijo, C., Scott, B. K., Kacmar, R., Bullard, K., Moss, A. F. D., Henderson, W., Juarez-Colunga, E., & Jameson, L. (2017) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000002241 · Cited by 59 · see citing works
Maternal Sleep-Disordered Breathing
Pamidi, S., & Kimoff, R. J. (2018) · Chest · doi:10.1016/j.chest.2017.10.011 · Cited by 61 · see citing works
Weight History in Clinical Practice: The State of the Science and Future Directions
Kushner, R. F., Batsis, J. A., Butsch, W. S., Davis, N., Golden, A., Halperin, F., Kidambi, S., Machineni, S., Novick, M., Port, A., et al. (2020) · Obesity · doi:10.1002/oby.22642 · Cited by 55 · see citing works
O’Mahony, A. M., Garvey, J. F., & McNicholas, W. T. (2020) · Journal of Thoracic Disease · doi:10.21037/jtd-sleep-2020-003 · Cited by 45 · see citing works
Procedural sedation: a position paper of the Canadian Anesthesiologists’ Society
Dobson, G., Chong, M. A., Chow, L., Flexman, A., Hurdle, H., Kurrek, M., Laflamme, C., Perrault, M.-A., Sparrow, K., Stacey, S., et al. (2018) · Canadian Journal of Anesthesia/Journal canadien d'anesthésie · doi:10.1007/s12630-018-1230-z · Cited by 39 · see citing works
Barriers of artificial intelligence implementation in the diagnosis of obstructive sleep apnea
Brennan, H. L., & Kirby, S. D. (2022) · Journal of Otolaryngology - Head & Neck Surgery · doi:10.1186/s40463-022-00566-w · Cited by 39 · see citing works
“Current awareness and detection of OSA in the primary care setting is a major contributor to the disease process, as it is not routinely screened for and there are limitations to utilizing screening tools, like the STOP-Bang questionnaire, in the general public [2, 6].”
BackgroundMethodSingh, M., Tuteja, A., Wong, D. T., Goel, A., Trivedi, A., Tomlinson, G., & Chan, V. (2019) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000004350 · Cited by 33 · see citing works
Duarte, R. L. M., Magalhães-da-Silveira, F. J., Oliveira-e-Sá, T. S., Rabahi, M. F., Mello, F. C. Q., & Gozal, D. (2019) · Lung · doi:10.1007/s00408-019-00232-5 · Cited by 28 · see citing works
Can STOP-Bang and Pulse Oximetry Detect and Exclude Obstructive Sleep Apnea?
Christensson, E., Franklin, K. A., Sahlin, C., Palm, A., Ulfberg, J., Eriksson, L. I., Lindberg, E., Hagel, E., & Jonsson Fagerlund, M. (2018) · Anesthesia & Analgesia · doi:10.1213/ane.0000000000003607 · Cited by 26 · see citing works
Peri-operative treatment of sleep-disordered breathing and outcomes in bariatric patients
Meurgey, J.-H., Brown, R., Woroszyl-Chrusciel, A., & Steier, J. (2018) · Journal of Thoracic Disease · doi:10.21037/jtd.2017.10.11 · Cited by 19 · see citing works
The Benefits of Perioperative Screening for Sleep Apnea in Surgical Patients
Subramani, Y., Wong, J., Nagappa, M., & Chung, F. (2017) · Sleep Medicine Clinics · doi:10.1016/j.jsmc.2016.10.003 · Cited by 13 · see citing works
Self-citation
- Authors
- Nagappa, M., Liao, P., Wong, J., Auckley, D., Ramachandran, S. K., Memtsoudis, S., Mokhlesi, B., & Chung, F.
- Affiliations
- University Health Network (CA)
- MetroHealth Medical Center (US)
- Michigan Medicine (US)
- Hospital for Special Surgery (US)
- University of Chicago (US)
- Corresponding author
- Chung, Frances
- ORCID
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2015-12-14
- Volume
- 10
- Issue
- 12
- Pages
- e0143697
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4678295
- OpenAlex
- W2205419122
- Semantic Scholar
- c3a10215e31701a7142de7a1249016f9e93572af
- Cited by
- 684
- References
- 68
- Citations by year
- 2026: 64 · 2025: 76 · 2024: 71 · 2023: 49 · 2022: 80 · 2021: 80 · 2020: 65 · 2019: 64 · 2018: 61 · 2017: 51 · 2016: 19
- FWCI
- 5.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- public-domain
- creativecommons.org/publicdomain/zero/1.0/ (vor)
- Locations
- PLoS ONE (publishedVersion, public-domain)
- PubMed Central (publishedVersion, public-domain)
- PubMed (publishedVersion)
- Knowledge@UChicago (University of Chicago) (submittedVersion, cc-by-nc-nd)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- University of Chicago
- Funders
- University of Toronto
- University Health Network Foundation
- Topics
- Health Sciences › Medicine › Physiology › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
- Keywords
- obstructive sleep apnea, STOP-BANG questionnaire, OSA screening, diagnostic accuracy, sensitivity and negative predictive value, OSA severity, apnea-hypopnea index, respiratory disturbance index, polysomnography, sleep clinic patients, surgical patients, questionnaire validation, cross-population generalizability, risk stratification, risk score threshold
- MeSH terms
- Humans, Mass Screening, Surveys and Questionnaires, Severity of Illness Index, Reproducibility of Results, Polysomnography, Sleep Apnea, Obstructive
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
