Evidence map›Paper›PMID 35244842›Full record

ArticleSleep & breathing = Schlaf & Atmung2023

Polysomnographic evaluation of obstructive sleep apnea treatment with fixed pressure CPAP determined by formula.

Danilo M Sá, Elcio O Vianna

Abstract read
In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Steam-assisted respiratory muscle training may improve sleep quality in mild-to-moderate obstructive sleep apnea: a pilot polysomnography study.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026
    Article
  3. Article
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

2 authors.

Danilo M SáDepartment of Medicine, Medical School of Ribeirão Preto, University of São Paulo, Av. Bandeirantes, 3900 - Ribeirão Preto, São Paulo, 14048-900, Brazil. danilosa@usp.br.ORCID 0000-0001-8123-106X
Elcio O ViannaDepartment of Medicine, Medical School of Ribeirão Preto, University of São Paulo, Av. Bandeirantes, 3900 - Ribeirão Preto, São Paulo, 14048-900, Brazil.ORCID 0000-0003-1902-6326

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe use of continuous positive airway pressure (CPAP) is one of the therapeutic modalities for obstructive sleep apnea (OSA). Manual titration polysomnography and the 90th or 95th percentiles of pressure titrated by automatic CPAP (APAP) are the current standard for determining fixed pressure. Pressures programmed at an arbitrary fixed value, or at preset values based on body mass index (BMI) or by predictive formulas, are presented as alternative forms. This study aimed to evaluate the residual apnea-hypopnea index (r-AHI) in polysomnography with CPAP therapy using pressure determined by formula and assess its feasibility to start treatment.

methodsPatients referred for CPAP therapy were followed up in three outpatient assessments and underwent polysomnography study with pressure CPAP obtained by formula.

resultsThe study sample consisted of 80 patients, 41 women; age 58.6 ± 11.3 years, BMI 34.1 ± 7.5 kg/m

conclusionResults suggest that a formula provides an effective initial pressure in the majority of patients (73%). This simplified approach appears to be a viable alternative, with reductions in waiting lists and time from diagnosis to initiation of therapy.

Indexed as

Continuous Positive Airway PressureSleep Apnea, ObstructiveAgedBody Mass IndexCognitionFemaleHumansMiddle AgedNeckCPAPObstructive sleep apneaPredictive formulaResidual apnea–hypopnea index

Identifiers

PMID35244842
PMCPMC8895082

What OpenQuestion holds

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Registered trials

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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.