Evidence map›Paper›PMID 37656346›Full record

ArticleSleep & breathing = Schlaf & Atmung2024

Is the time below 90% of SpO

Mario Henríquez-Beltrán, Jorge Dreyse, Jorge Jorquera, Bunio Weissglas, Javiera Del Rio, Montserrat Cendoya, Jorge Jorquera-Diaz, Constanza Salas, Isabel Fernandez-Bussy, Gonzalo Labarca

Abstract read
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In one paragraph

Article in Sleep & breathing = Schlaf & Atmung, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 21% 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.

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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

10 authors at 5 institutions in 3 countries.

Mario Henríquez-BeltránNucleo de Investigacion en Ciencias de la Salud, Universidad Adventista de Chile, Chillan, Chile.
Jorge DreyseCentro de Enfermedades Respiratorias, Clínica Las Condes, Universidad Finis Terrae, Santiago, Chile.
Jorge JorqueraCentro de Enfermedades Respiratorias, Clínica Las Condes, Universidad Finis Terrae, Santiago, Chile.
Bunio WeissglasFacultad de Medicina, Universidad de Concepción, Concepción, Chile.
Javiera Del RioFacultad de Medicina, Universidad de Concepción, Concepción, Chile.
Montserrat CendoyaFacultad de Medicina, Universidad de Concepción, Concepción, Chile.
Jorge Jorquera-DiazUniversidad Favarolo, Buenos Aires, Argentina.
Constanza SalasCentro de Enfermedades Respiratorias, Clínica Las Condes, Universidad Finis Terrae, Santiago, Chile.
Isabel Fernandez-BussyUniversidad Catolica Argentina, Buenos Aires, Argentina.
Gonzalo LabarcaFacultad de Medicina, Universidad de Concepción, Concepción, Chile. glabarca@bwh.harvard.edu.ORCID 0000-0002-0069-3420
Clínica Las Condes · CLUniversity of Concepción · CLBrigham and Women's Hospital · USPontificia Universidad Católica Argentina · ARUniversidad Adventista de Chile · CL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNovel wireless-based technologies can easily record pulse oximetry at home. One of the main parameters that are recorded in sleep studies is the time under 90% of SpO

methodsWe included all individuals from the Sleep Heart Health Study (SHHS, community-based cohort) and Santiago Obstructive Sleep Apnea (SantOSA, clinical cohort) with complete data at baseline and follow-up. Two measures of hypoxemia (T90% and ODI-3%) were our primary exposures. The adjusted hazard ratios (HRs) per standard deviation (pSD) between T90% and incident all-cause mortality (primary outcome) were determined by adjusted Cox regression models. In the secondary analysis, to assess whether T90% varies across clinical factors, anthropometrics, abdominal obesity, metabolic rate, and SpO

resultsA total of 4323 (56% male, median 64 years old, follow-up: 12 years, 23% events) and 1345 (77% male, median 55 years old, follow-up: 6 years, 11.6% events) patients were included in SHHS and SantOSA, respectively. Every 1 SD increase in T90% was associated with an adjusted HR of 1.18 [95% CI: 1.10-1.26] (p value < 0.001) in SHHS and HR 1.34 [95% CI: 1.04-1.71] (p value = 0.021) for all-cause mortality in SantOSA. Conversely, ODI-3% was not associated with worse outcomes. R

conclusionThe findings suggest that T90% may be an important marker of wellness in clinical and community-based scenarios. Although this nonspecific metric varies across the populations, ventilatory changes during sleep rather than other physiological or comorbidity variables explain their variability.

Indexed as

SleepSleep Apnea, ObstructiveFemaleHumansHypoxiaMaleMiddle AgedOximetryOxygenOxygenMortalityNocturnal hypoxemiaObstructive sleep apneaSleep apnea

Identifiers

PMID37656346
OpenAlexW4386346569

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.