The DOI matches its Crossref record; 49 of the 49 references it cites were found in a registry or an index.
Effectiveness of home respiratory polygraphy for the diagnosis of sleep apnoea and hypopnoea syndrome
Open accessAbstract
INTRODUCTION: Home respiratory polygraphy (HRP) may be a cost-effective alternative to polysomnography for the diagnosis of sleep apnoea-hypopnoea syndrome (SAHS), but stronger evidence is needed. Normally, patients transport HRP equipment from the hospital to home and back, which may create difficulties for some patients. OBJECTIVES: To determine both the diagnostic efficacy and cost of HRP (with and without a transportation service moving the device and telematic transmission of data) in a large sample compared with in-hospital polysomnography. METHODS: Patients suspected of having SAHS were included in a multicentre study (eight hospitals). They were assigned to home and hospital protocols in random order. Receiver operating characteristic curves were constructed for manual respiratory polygraphy scoring protocol and different polysomnographic cut-off points. Diagnostic efficacies for several polysomnographic cut-off points were explored and costs for two equally effective alternatives were calculated. RESULTS: Of 366 randomised patients, 348 completed the protocol. The best receiver operating characteristic curve was obtained with a polysomnographic cut-off of the apnoea-hypopnoea index (AHI)≥5. The sensitive HRP AHI cut-off point (<5) had a sensitivity of 96%, a specificity of 57% and a negative likelihood ratio (LR) of 0.07; the specific cut-off (>10) had a sensitivity of 87%, a specificity of 86% and a positive LR of 6.25. The cost of HRP was half that of polysomnography. Telematic transmission costs were similar if the patients' costs were taken in to account. CONCLUSION: HRP is an alternative to polysomnography in patients with suspected SAHS. Telematic procedures may help patients with limited mobility and those who live a long way from the sleep centre.
Overview
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
Verification
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?
The cited source doesn’t support the claim as written.
In the citing paper
“There is increasing evidence supporting the use of some home-based type III and IV type sleep studies to “rule-in” but not “rule-out”580 moderate to severe OSA.”
From International Consensus Statement on Obstructive Sleep Apnea (2023) · cites this paper as [580]
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“When using an AHI ≥ 5 cutoff, accuracy in a high-risk population (assuming a prevalence of 87%) ranged from 84% to 91%, whereas in a low-risk population (assuming a prevalence of 55%) accuracy ranged from 70% to 78% based on the seven studies”
From Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline (2017) · cites this paper as [88]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Seven studies evaluated the performance of Type 3 HSAT devices against PSG, but the AHI cutoffs employed varied across studies, resulting in sub-grouping by AHI cutoffs for our analyses.”
From Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline (2017) · cites this paper as [88]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Methods for the Economic Evaluation of Health Care Programmes
Drummond, M. E., Sculpher, M. J., Torrance, G. W., O’Brien, B. J., & Stoddart, G. L. (2005) · doi:10.1093/oso/9780198529446.001.0001 · Cited by 13,648
Rechtschaffen, A. (1968) · Medical Entomology and Zoology · Cited by 11,772
(2007) · Cited by 6,530
Marin, J. M., Carrizo, S. J., Vicente, E., & Agusti, A. G. (2005) · The Lancet · doi:10.1016/s0140-6736(05)71141-7 · Cited by 4,678
Methods for the economic evaluation of health care programmes
Wilson, S. (1987) · Journal of Epidemiology & Community Health · doi:10.1136/jech.41.4.355-a · Cited by 4,312
McNicholas, W. T., Strohl, K. P., White, D. P., Levy, P. A., Schmidt, W., Wheatley, J. R., Redline, S. S., Carley, D. W., Buysse, D. J., Young, T. B., et al. (1999) · PubMed · Cited by 3,665
Collop, N. A., Anderson, W. M., Boehlecke, B., Claman, D., Goldberg, R., Gottlieb, D. J., Hudgel, D., Sateia, M., Schwab, R., & Portable Monitoring Task Force of the American Academy of Sleep Medicine (2007) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.27032 · Cited by 1,550
DURÁN, J., ESNAOLA, S., RUBIO, R., & IZTUETA, Á. (2001) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/ajrccm.163.3.2005065 · Cited by 1,407
The Association between Sleep Apnea and the Risk of Traffic Accidents
Téran‐Santos, J., Jimenez-Gomez, A., & Cordero-Guevara, J. A. (1999) · New England Journal of Medicine · doi:10.1056/nejm199903183401104 · Cited by 1,252
Flagged first, then by citations
Research works printed but not linked: 2
- [1]1. Thorax 2011;66:567e573. doi:10.1136/thx.2010.152272 Sleep-disordered breathing on July 26, 2023 by guest. Protected by copyright. http://thorax.bmj.com/ Thorax: first published as 10.1136/thx.2010.152272 on 20 May 2011. Downloaded from Sleep-disordered breathing on July 26, 2023 by guest. Protected by copyright. http://thorax.bmj.com/ Thorax: first published as 10.1136/thx.2010.152272 on 20 May 2011. Downloaded from Thorax 2011;66:567e573. doi:10.1136/thx.2010.152272 Sleep-disordered breathing on July 26, 2023 by guest. Protected by copyright. http://thorax.bmj.com/ Thorax: first published as 10.1136/thx.2010.152272 on 20 May 2011. Downloaded from REFERENCES
- [8]8. Masa Jime ´nez JF, Barbe ´Illa F, Capote Gil F, et al; Working Group. [Resources and delays in the diagnosis of sleep apnea-hypopnea syndrome] (In Spanish). Arch Bronconeumol 2007;43:188e98.
Cited by
Sorted by citations
Items 101–160 of 160
Bruyneel, M., Libert, W., Ameye, L., & Ninane, V. (2015) · European Respiratory Journal · doi:10.1183/13993003.congress-2015.pa2398 · Cited by 8
Micro-RNA in obstructive sleep apnoea: biomarker of cardiovascular outcome?
Zapater, A., Barbé, F., & Sánchez‐de‐la‐Torre, M. (2022) · Current Opinion in Pulmonary Medicine · doi:10.1097/mcp.0000000000000913 · Cited by 7
Walia, R., Achilefu, A., Crawford, S., Jain, V., Wigley, S. D., & McCarthy, L. H. (2014) · PubMed · Cited by 7
Alsaif, S. S., Douglas, W., Steier, J. S., Morrell, M. J., Polkey, M. I., & Kelly, J. L. (2024) · Clinical Medicine · doi:10.1016/j.clinme.2024.100231 · Cited by 6
Crescimanno, G., Lupica, A., Tommasello, V., Stefano, V. D., Brighina, F., & Marrone, O. (2024) · Journal of Sleep Research · doi:10.1111/jsr.14222 · Cited by 6
Light sensors for objective light measurement in ambulatory polysomnography
Schembri, R., Spong, J., Peters, A., Rochford, P. D., Wilksch, P. A., O’Donoghue, F. J., Greenwood, K. M., Barnes, M., Kennedy, G. A., & Berlowitz, D. J. (2017) · PLoS ONE · doi:10.1371/journal.pone.0188124 · Cited by 6
Snoring in a cohort of obese children: association with palate position and nocturnal desaturations
Zaffanello, M., PIACENTINI, G. L., Gasperi, E., Maffeis, C., Fava, C., Bonafini, S., Tagetti, A., & Antoniazzi, F. (2016) · Journal of pediatric and neonatal individualized medicine · doi:10.7363/050134 · Cited by 6
A review of preventing central sleep apnea by inspired CO 2
Mulchrone, A. M., Shokoueinejad, M., & Webster, J. G. (2016) · Physiological Measurement · doi:10.1088/0967-3334/37/5/r36 · Cited by 8
Future Sleep Medicine: Mobile Health and Big Data
Kim, J., & Cho, J. W. (2019) · Journal of Sleep Medicine · doi:10.13078/jsm.18016 · Cited by 6
Algorithmic detection of sleep-disordered breathing using respiratory signals: a systematic review
Yang, L., Ding, Z., Zhou, J., Zhang, S., Wang, Q., Zheng, K., Wang, X., & Chen, L. (2024) · Physiological Measurement · doi:10.1088/1361-6579/ad2c13 · Cited by 5
Buyse, B., Borzée, P., Kalkanis, A., & Testelmans, D. (2022) · Journal of Sleep Research · doi:10.1111/jsr.13706 · Cited by 5
Ying, S., Wang, L., Zhao, Y., Ma, M., Ding, Q., Xie, J., Yao, D., Mitra, S., Chen, M., & Liu, T. (2023) · IEEE Journal of Translational Engineering in Health and Medicine · doi:10.1109/jtehm.2023.3248621 · Cited by 5
Ultrasonic-based submillimeter ranging system for contactless respiration monitoring
Wang, Z., Li, S., Li, Z., Wang, S., & Cui, J. (2023) · AIP Advances · doi:10.1063/5.0156997 · Cited by 5
Diagnostic accuracy of nasal cannula versus microphone for detection of snoring
Warnisher, M. T. P., Gómez‐García, T., Giraldo‐Cadavid, L. F., Acevedo, M. F. T., Rodríguez, P., de Miguel, P. C., & Mangado, N. G. (2017) · The Laryngoscope · doi:10.1002/lary.26710 · Cited by 5
Weinstock, T. G., & Redline, S. S. (2012) · Journal of Comparative Effectiveness Research · doi:10.2217/cer.11.12 · Cited by 4
A signal demodulation-based method for the early detection of Cheyne-Stokes respiration
Guyot, P., Djermoune, E., Chenuel, B. J., & Bastogne, T. (2020) · PLoS ONE · doi:10.1371/journal.pone.0221191 · Cited by 4
Pugliese, G., Barrea, L., Zamparelli, A. S., de Alteriis, G., Laudisio, D., Muscogiuri, G., Canora, A., Bocchino, M., Colao, A., & Savastano, S. (2022) · Journal of Endocrinological Investigation · doi:10.1007/s40618-022-01831-5 · Cited by 4
Initial evaluation of substituting a sleep diary by smartwatch measurement
Gaiduk, M., Seepold, R., Madrid, N. M., Orcioni, S., Conti, M., & Ortega, J. A. (2022) · Procedia Computer Science · doi:10.1016/j.procs.2022.09.396 · Cited by 4
In-person vs video hookup instructions: a comparison of home sleep apnea testing quality
Horne, A. F., Olafsdottir, K. A., & Arnardóttir, E. S. (2022) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.10084 · Cited by 3
Barriuso, B., Martin, L., Sevilla, C., Múñoz, C., López, V., Bello, M. J., Manchado, N., Pamiés, M., Díez, P., Sanz, R., et al. (2019) · Sleep And Breathing · doi:10.1007/s11325-019-01959-4 · Cited by 3
Durán‐Cantolla, J., Martínez‐Null, C., & Egea, C. (2013) · Revista Médica Clínica Las Condes · doi:10.1016/s0716-8640(13)70174-3 · Cited by 4
Sánchez‐de‐la‐Torre, M., & Barbé, F. (2016) · Medicina Clínica · doi:10.1016/j.medcli.2016.09.002 · Cited by 2
Arab, R. A. E., Sánchez‐de‐la‐Torre, M., Valenzuela‐Pascual, F., Rubinat, E., Blanco‐Blanco, J., Rubí‐Carnacea, F., Martínez-Navarro, O., Mediano, O., & Gea‐Sánchez, M. (2023) · Applied Sciences · doi:10.3390/app13063516 · Cited by 2
Romero-Peralta, S., Alonso, M., Mediano, O., Moncadas, M. C., Larrínaga, A. Á. R. D., Marcet, M. C., Giménez, P., de la Peña, M., Zarza, J. A. P., Rio, F. G., et al. (2025) · Journal of Women s Health · doi:10.1089/jwh.2024.1033 · Cited by 2
Airway overlap syndromes with asthma
Amado, C., Padilla, D. E. L., Méndez, R., & Martínez‐García, M. Á. (2025) · Annals of Allergy Asthma & Immunology · doi:10.1016/j.anai.2025.09.012 · Cited by 2
Borsini, E. E., Bosio, M., Quadrelli, S., Campos, J., Décima, T., & Chertcoff, J. (2012) · Redalyc (Universidad Autónoma del Estado de México) · Cited by 2
Role of limited vs full polysomnography as a diagnostic tool of obstructive sleep apnea
Elsharawy, D. E., Rady, M., El-Shafey, B. I., & Fayed, H. A. (2020) · Egyptian Journal of Chest Diseases and Tuberculosis · doi:10.4103/ejcdt.ejcdt_190_19 · Cited by 2
Katsagoni, C. N., Kokkinos, P. F., & Sidossis, L. S. (2023) · Wiley eBooks · doi:10.1002/9781119833475.ch19 · Cited by 2
Sleep-Disordered Breathing: Diagnosis
Álvarez, D., Crespo, A., Gozal, D., Gozal, D., & del Campo, F. (2023) · Springer eBooks · doi:10.1007/978-3-031-30010-3_5 · Cited by 1
Teixeira, R. C. P., & Cahali, M. B. (2023) · International Archives of Otorhinolaryngology · doi:10.1055/s-0043-1769495 · Cited by 1
Mobile Sleep Lab: Comparison of polysomnographic parameters with a conventional sleep laboratory
Suzuki, C., Suzuki, Y., Abe, T., Kanbayashi, T., Fukusumi, S., Kokubo, T., Takahara, I., & Yanagisawa, M. (2025) · PLoS ONE · doi:10.1371/journal.pone.0316579 · Cited by 1
Øverland, E. V., Waaraas, A., Lundetræ, R. S., Lehmann, S., Saxvig, I. W., & Bjorvatn, B. (2025) · Frontiers in Sleep · doi:10.3389/frsle.2025.1632662 · Cited by 1
Pediatric sleep apnea-a simplified approach
Karkhanis, V. S. (2015) · Indian Journal of Sleep Medicine · doi:10.5005/ijsm-10-1-1 · Cited by 1
Personalized medicine in sleep apnea: Towards a new paradigm of comprehensive disease management
Sánchez‐de‐la‐Torre, M., & Barbé, F. (2016) · Medicina Clínica (English Edition) · doi:10.1016/j.medcle.2016.12.004 · Cited by 1
Conception of a home-based sleep apnoea identification and monitoring system
Gaiduk, M., Alarcón, Á. S., Seepold, R., & Madrid, N. M. (2023) · Procedia Computer Science · doi:10.1016/j.procs.2023.10.375 · Cited by 1
Síndrome de apnea-hipopnea del sueño en la malformación de Chiari tipo i
Baena-Gómez, M. A., Torres-Borrego, J., Molina-Terán, A. B., Gil, D. Á., & Herrera, A. M. C. (2013) · Anales de Pediatría · doi:10.1016/j.anpedi.2013.01.014 · Cited by 1
Respiratory Considerations and Effect of Bariatric Surgery in the Obese Patient
Menon, M. K., & Bhowmik, A. (2023) · Springer eBooks · doi:10.1007/978-3-030-60596-4_67 · Cited by 1
Achour, E. C. (2013) · theses.fr (ABES) · doi:10.70675/11f73312z2526z4075z9db6z07d529f2507b · Cited by 1
Síndrome de apnea-hipopnea del sueño
García, E. Z., Vasconcelos, G. F., Riolobos, C. L., & Castillo, E. G. (2014) · Medicine - Programa de Formación Médica Continuada Acreditado · doi:10.1016/s0304-5412(14)70839-x
Respiratory Rehabilitation, Work Capacity, and Sleep-Related Disorders in Obesity
Salvadori, A., Fanari, P., & Braghiroli, A. (2013) · Springer eBooks · doi:10.1007/978-3-642-35972-9_8
Sleep-Disordered Breathing in Heart Failure Patients and its Impact on Cardiovascular Risk
Herrscher, T. E. (2015) · NORA - Norwegian Open Research Archives
Respiratory Considerations and Effect of Bariatric Surgery in the Obese Patient
Menon, M. K., & Bhowmik, A. (2015) · Springer eBooks · doi:10.1007/978-3-319-04343-2_67
Gulati, A. (2017) · University of Hertfordshire Research Archive (University of Hertfordshire) · doi:10.18745/th.17731
Zaffanello, M., Antoniazzi, F., Tenero, L., Piazza, M., Pietrobelli, A., Lippi, G., Gasperi, E., & PIACENTINI, G. L. (2018) · Medical Science and Discovery · doi:10.17546/msd.411431
Obstructive sleep apnoea – diagnosis is all very well, but treatment is necessary
Raine, R. (2019) · African Journal of Thoracic and Critical Care Medicine · doi:10.7196/sarj.2019.v25i2.013
Blanco, A. M. A. (2018) · UVaDOC UVaDOC University of Valladolid Documentary Repository (University of Valladolid) · doi:10.35376/10324/39242
Kamińska, M., Zielinski, D., Petrof, B. J., Westenberg, J. N., & Constantin, E. (2021) · Journal of Clinical Sleep Medicine · doi:10.5664/jcsm.9686
Diagnosis of obstructive sleep apnoea
Raine, R. (2019) · African Journal of Thoracic and Critical Care Medicine · doi:10.7196/sarj.2019.v25i4.037
Respiratory Considerations and Effect of Bariatric Surgery in the Obese Patient
Menon, M. K., & Bhowmik, A. (2021) · Springer eBooks · doi:10.1007/978-3-030-54064-7_67-1
Physiological changes associated to the use of N95 mask
Martínez, Y. G., Hernández, D. B., Corona, B. T., & Jiménez, L. I. G. (2023) · International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE) · doi:10.1109/cce60043.2023.10332873
Verbraecken, J. A. (2023) · Springer eBooks · doi:10.1007/978-3-031-34992-8_7
Naia, J. V., Pimenta, D. A. G., Serino, M., Clara, E. S., Carriço, F., van Zeller, M., Cruz, J. F., & Drummond, M. (2024) · Sleep And Breathing · doi:10.1007/s11325-024-03096-z
Groshaeny, L., Gomez, E., Valentin, S., Thoré, P., Fauny, M., Carpentier, N., Nominé-Criqui, C., Brunaud, L., Quilliot, D., Chabot, F., et al. (2025) · Obesity Surgery · doi:10.1007/s11695-025-07909-2
Severe obstructive sleep apnoea can be accurately diagnosed in primary care centres
Orriols, R., Calvera, E. R., Legarés, A. O., Comas‐Cufí, M., Ramos, R., Dagà, I. C., Capote, X. E., Sagué, M. S., Emili, M., & Bonnin-Vilaplana, M. (2026) · npj Primary Care Respiratory Medicine · doi:10.1038/s41533-026-00496-4
Wachinou, A. P., Diallo, B., Totah, T., Solelhac, G., Berger, M., Fosto, P., Amidou, S., Fiogbe, A., Marques-Vidal, P. M., Agodokpessi, G., et al. (2026) · Sleep Medicine X · doi:10.1016/j.sleepx.2026.100190
Gharib, C., Kim, C., Ling, J., & Varma, M. (2026) · Clocks & Sleep · doi:10.3390/clockssleep8020027
石, 伟. (2026) · Advances in Clinical Medicine · doi:10.12677/acm.2026.1662375
Park, S., Heo, C. M., Park, B. S., Ko, J. H., Park, K. M., Lee, J. G., & Kim, Y. W. (2026) · Medicine · doi:10.1097/md.0000000000050524
The Emerging Relevance of Telemedicine in Sleep Medicine
Lee‐Iannotti, J. K., & Parish, J. M. (2015) · Springer eBooks · doi:10.1007/978-1-4939-2349-6_13
Metadata
- Authors
- Masa, J. F., Corral, J., Pereira, R., Duran-Cantolla, J., Cabello, M., Hernandez-Blasco, L., Monasterio, C., Alonso, A., Chiner, E., Rubio, M., Garcia-Ledesma, E., Cacelo, L., Carpizo, R., Sacristan, L., Salord, N., Carrera, M., Sancho-Chust, J. N., Embid, C., Vazquez-Polo, F.-J., Negrin, M. A., & Montserrat, J. M.
- Affiliations
- Hospital San Pedro de Alcántara (ES)
- Centro de Investigación Biomédica en Red de Enfermedades Respiratorias (ES)
- Marqués de Valdecilla University Hospital (ES)
- Bellvitge University Hospital (ES)
- Hospital Universitari Sant Joan D'Alacant (ES)
- Hospital Txagorritxu (ES)
- Hospital Universitario Son Dureta (ES)
- Hospital Clínic de Barcelona (ES)
- Corresponding author
- Masa, J. F.
- ORCID
- Venue
- Thorax
- Publisher
- BMJ
- Published
- 2011-05-20
- Volume
- 66
- Issue
- 7
- Pages
- 567-573
- ISSN
- 0040-6376 (ISSN-L)
- OpenAlex
- W2127808446
- Semantic Scholar
- a9a0fbea5374d5120655df662e130d8afdb0ccbf
- Cited by
- 161
- References
- 49
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 6 · 2023: 14 · 2022: 11 · 2021: 13 · 2020: 7 · 2019: 10 · 2018: 11 · 2017: 18 · 2016: 12 · 2015: 13 · 2014: 11 · 2013: 15 · 2012: 8
- FWCI
- 7.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Thorax (publishedVersion)
- PubMed (publishedVersion)
- HighWire Press Open Archive (submittedVersion)
- Funders
- Ministerio de Ciencia e Innovación
- Sociedad Española de Neumología y Cirugía Torácica
- Instituto de Salud Carlos III
- Topics
- Health Sciences › Medicine › Physiology (medical) › Obstructive Sleep Apnea Research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
- Life Sciences › Neuroscience › Endocrine and Autonomic Systems › Neuroscience of respiration and sleep
- Keywords
- sleep apnea-hypopnea syndrome, polysomnography, diagnostic accuracy, apnea-hypopnea index, cost-effectiveness, telemetric data transmission, diagnostic thresholds
- MeSH terms
- Adolescent, Adult, Aged, Cost-Benefit Analysis, Epidemiologic Methods, Female, Humans, Male, Middle Aged, Sleep Apnea Syndromes, Telemetry, Transportation, Health Care Costs, Polysomnography, Home Care Services, Hospital-Based, Young Adult
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