Evidence map›Paper›PMID 28744805›Full record

Trial reportSleep & breathing = Schlaf & Atmung2018

Combination mode of physiological signals for diagnosis of OSAS using portable monitor.

Peng Jiang, Rong Zhu, Xiaosong Dong, Yuan Chang

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Sleep & breathing = Schlaf & Atmung, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Peng JiangState Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Haidian District, Beijing, 100084, China.
Rong ZhuState Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Haidian District, Beijing, 100084, China. zr_gloria@mail.tsinghua.edu.cn.
Xiaosong DongSleep Center, Department of Pulmonary and Critical Care Medicine, Peking University People's Hospital, No. 11 South Street, Xizhimen, Beijing, 100044, China.
Yuan ChangSleep Center, Department of Pulmonary and Critical Care Medicine, Peking University People's Hospital, No. 11 South Street, Xizhimen, Beijing, 100044, China.

Funding

Ministry of Science and Technology of the People's Republic of China 2012AA02A604
6 · The paper itself

Abstract

purposePortable respiratory monitor (PRM) has been proposed for pre-diagnosis of obstructive sleep apnea syndrome (OSAS). However, discrepant physiological signal combinations were rarely studied for diagnostic assessment of OSAS. This study was designed to evaluate combination modes of key physiological signals collected by portable sensor modules for OSAS screening in comparison with polysomnography (PSG).

methodsPeople with suspected OSAS were submitted to PRM at a sleep laboratory monitoring concurrently with PSG. The diagnostic accuracy was assessed by sensitivity, specificity, Pearson correlation coefficients, kappa statistic, and Bland-Altman plot. Four combination modes of PRM, including mode 1 with single nasal airflow, mode 2 with airflow plus body activity, mode 3 with airflow plus SpO2, tri-combination mode 4 with airflow plus SpO2 plus activity were studied.

resultsThirty-five subjects (69% men, mean age ± SD, 49 ± 12 years) with averaged apnea-hypopnea index (AHI) of 36 ± 29 events/h were tested. Excluding incomplete recordings, 33 valid samples were analyzed. All PRM modes demonstrated good concordances with PSG in diagnostic outcomes. Tri-combination mode had optimum with sensitivity of 96.5%, specificity of 100%, +LR of 4, -LR of 0.03, and kappa coefficient of 0.85 for screening OSAS holding AHI ≥5. Its Bland-Altman plots also showed the smallest dispersion.

conclusionsThis study used clinical comparison to demonstrate diagnostic accuracy of PRM with different physiological signal combination. The combination of respiratory airflow, oxygen saturation, and body activity provided sufficiently high accuracy for diagnosing OSAS. Single respiratory airflow sensor as the simplest PRM was also feasible for pre-screening OSAS.

Indexed as

Monitoring, AmbulatoryAdultAgedFemaleHumansMaleMiddle AgedPolysomnographyPulmonary VentilationSensitivity and SpecificitySleepSleep Apnea, ObstructiveYoung AdultMedical diagnosisObstructive sleep apnea syndromePhysiological signalsPortable respiratory monitor

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.