Evidence map›Paper›PMID 25325484›Full record

Trial reportSleep2014

Effectiveness of home single-channel nasal pressure for sleep apnea diagnosis.

Juan F Masa, Joaquin Duran-Cantolla, Francisco Capote, Marta Cabello, Jorge Abad, Francisco Garcia-Rio, Antoni Ferrer, Merche Mayos, Nicolas Gonzalez-Mangado, Monica de la Peña and 28 more

2 registry-linked trialsOpen access · bronzeAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Sleep, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
1 · What the graph read from it

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.

2 · The registry

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.

NCT01347398 naunknown statusnot on this map

Validity of a Supersimplified Device for Diagnosis of Patients With Suspected Obstructive Sleep Apnoea-hypopnoea (OSAH).

TypeinterventionalSponsorBasque Health ServiceRan2009 to 2014Enrolled815ConditionsObstructive Sleep ApneaArmsPSG, MicroMESAM system
NCT03449550 nacompletednot on this mapstarted 2015, after this paper: background citation

Validity and Cost-effectiveness Analysis of a Home Respiratory Polygraphy for the Diagnosis of Obstructive Sleep Apnea in Children (DINISAS)

TypeinterventionalSponsorHospital Universitario ArabaRan2015 to 2020Enrolled320ConditionsObstructive Sleep ApneaArmsHome Respiratory Polygraphy (HRP), Standard Polysomnography (PSG)
3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Primary care and sleep unit agreement in management decisions for sleep apnea: a prospective study in Spain.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2020
    Article
  5. Review
  6. Article
  7. Automatic Sleep Staging in Patients With Obstructive Sleep Apnea Using Single-Channel Frontal EEG.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2019
    Article
  8. New organisation for follow-up and assessment of treatment efficacy in sleep apnoea.European respiratory review : an official journal of the European Respiratory Society · 2019
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Predicting Obstructive Sleep Apnea with Periodic Snoring Sound Recorded at Home.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2016
    Article
  14. Review
  15. Article
  16. Article
  17. [Obstructive Sleep Apnea].Open respiratory archives
    Article
  18. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors at 10 institutions in 3 countries.

Juan F MasaSan Pedro de Alcantara Hospital, Caceres, Spain and CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Joaquin Duran-CantollaBio-Araba Research Institute; Alava University Hospital, Vitoria, Spain: Department of Medicine of Basque Country University, Vitoria, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Francisco CapoteVirgen del Rocio Hospital, Sevilla, Spain.
Marta CabelloValdecilla Hospital, Santander, Spain.
Jorge AbadGermans Trials i Pujol Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Francisco Garcia-RioLa Paz Hospital, IdiPAZ, Madrid, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Antoni FerrerSabadell Hospital, Corporació Sanitària Parc Taulí, Institut Universitari Parc Tauli-UAB, Sabadell, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Merche MayosSta Creu i Sant Pau Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Nicolas Gonzalez-MangadoIIS-Fundación Jimenez Diaz, Madrid, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Monica de la PeñaSon Espases University Hospital, Palma de Mallorca, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Felipe AizpuruBio-Araba Research Institute; Alava University Hospital, Vitoria, Spain.
Ferran BarbeIRBLleida, Lleida, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Jose M MontserratClinic Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Spanish Sleep Network
Luis D LarrateguyCentro de Medicina Respiratoria, Paraná, Argentina.
Jorge Rey de CastroClínica Angloamericana, Lima, Perú
Estefania Garcia-LedesmaSan Pedro de Alcantara Hospital, Caceres, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Isabel UtraboSan Pedro de Alcantara Hospital, Caceres, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Jaime CorralSan Pedro de Alcantara Hospital, Caceres, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Cristina Martinez-NullBio-Araba Research Institute; Alava University Hospital, Vitoria, Spain: Sleep Unit, Respiratory Department, Alava University Hospital, Vitoria, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Carlos EgeaBio-Araba Research Institute; Alava University Hospital, Vitoria, Spain: Sleep Unit, Respiratory Department, Alava University Hospital, Vitoria, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Laura CanceloBio-Araba Research Institute; Alava University Hospital, Vitoria, Spain: Sleep Unit, Respiratory Department, Alava University Hospital, Vitoria, Spain.
Emilio García-DíazVirgen del Rocio Hospital, Sevilla, Spain.
Carmen Carmona-BernalVirgen del Rocio Hospital, Sevilla, Spain.
Angeles Sánchez-ArmengolVirgen del Rocio Hospital, Sevilla, Spain.
Ana M FortunaSta Creu i Sant Pau Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Rosa M MiraldaSta Creu i Sant Pau Hospital, Barcelona, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Maria F TroncosoIIS-Fundación Jimenez Diaz, Madrid, Spain.
Gonzalez MonicaValdecilla Hospital, Santander, Spain.
Marian Martinez-MartinezValdecilla Hospital, Santander, Spain.
Olga CantalejoValdecilla Hospital, Santander, Spain.
Javier PiérolaSon Espases University Hospital, Palma de Mallorca, Spain: CIBER de enfermedades respiratorias (CIBERES), Madrid, Spain.
Laura VigilSabadell Hospital, Corporació Sanitària Parc Taulí, Institut Universitari Parc Tauli-UAB, Sabadell, Spain.
Cristina EmbidClinic Hospital, Barcelona, Spain.
Mireia Del Mar CentellesClinic Hospital, Barcelona, Spain.
Teresa Ramírez PrietoInfanta Sofía Hospital, San Sebastián de los Reyes, Madrid, Spain.
Blas RojoInfanta Sofía Hospital, San Sebastián de los Reyes, Madrid, Spain.
Lores VanesaInfanta Leonor Hospital, Madrid, Spain.
Centro de Investigación Biomédica en Red de Enfermedades Respiratorias · ESMarqués de Valdecilla University Hospital · ESHospital Clínic de Barcelona · ESHospital Universitario Virgen del Rocío · ESHospital Universitario Araba · ESHospital Universitario Infanta Sofía · ESAnglo American (United Kingdom) · GBCentro de Investigaciones Cardiovasculares · ARHospital Universitario Infanta Leonor · ESUniversity of the Basque Country · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHome single-channel nasal pressure (HNP) may be an alternative to polysomnography (PSG) for obstructive sleep apnea (OSA) diagnosis, but no cost studies have yet been carried out. Automatic scoring is simpler but generally less effective than manual scoring.

objectivesTo determine the diagnostic efficacy and cost of both scorings (automatic and manual) compared with PSG, taking as a polysomnographic OSA diagnosis several apnea-hypopnea index (AHI) cutoff points.

methodsWe included suspected OSA patients in a multicenter study. They were randomized to home and hospital protocols. We constructed receiver operating characteristic (ROC) curves for both scorings. Diagnostic efficacy was explored for several HNP AHI cutoff points, and costs were calculated for equally effective alternatives.

resultsOf 787 randomized patients, 752 underwent HNP. Manual scoring produced better ROC curves than automatic for AHI < 15; similar curves were obtained for AHI ≥ 15. A valid HNP with manual scoring would determine the presence of OSA (or otherwise) in 90% of patients with a polysomnographic AHI ≥ 5 cutoff point, in 74% of patients with a polysomnographic AHI ≥ 10 cutoff point, and in 61% of patients with a polysomnographic AHI ≥ 15 cutoff point. In the same way, a valid HNP with automatic scoring would determine the presence of OSA (or otherwise) in 73% of patients with a polysomnographic AHI ≥ 5 cutoff point, in 64% of patients with a polysomnographic AHI ≥ 10 cutoff point, and in 57% of patients with a polysomnographic AHI ≥ 15 cutoff point. The costs of either HNP approaches were 40% to 70% lower than those of PSG at the same level of diagnostic efficacy. Manual HNP had the lowest cost for low polysomnographic AHI levels (≥ 5 and ≥ 10), and manual and automatic scorings had similar costs for higher polysomnographic cutoff points (AHI ≥ 15) of diagnosis.

conclusionHome single-channel nasal pressure (HNP) is a cheaper alternative than polysomnography for obstructive sleep apnea diagnosis. HNP with manual scoring seems to have better diagnostic accuracy and a lower cost than automatic scoring for patients with low apnea-hypopnea index (AHI) levels, although automatic scoring has similar diagnostic accuracy and cost as manual scoring for intermediate and high AHI levels. Therefore, automatic scoring can be appropriately used, although diagnostic efficacy could improve if we carried out manual scoring on patients with AHI < 15. CLINICAL TRIALS INFORMATION: Clinicaltrials.gov identifier: NCT01347398.

Indexed as

Costs and Cost AnalysisPressureAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedNosePolysomnographyROC CurveSleep Apnea, ObstructiveYoung AdultApnealinkcost-effectivenessportable monitorsleep apnea

Identifiers

PMID25325484
PMCPMC4237536
OpenAlexW1964098756

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.