Evidence map›Paper›PMID 36028283›Full record

ArticleClinical medicine & research2022

Anthropometric Measures for the Prognosis of Obstructive Sleep Apnea in Obese.

Laura Souza Lagares, Ramon Souza Lino, Eric Simas Bomfim, Felipe Almeida Santos, Ciro Oliveira Queiroz, Lélia Lessa Pinto, Luiz Alberto Bastos Almeida, Clarcson Plácido Santos

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Clinical medicine & research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 2 institutions in 1 country.

Laura Souza LagaresPhysical Education, Research and Study Group on Health and Human Performance, Bahian School of Medicine and Public Health.
Ramon Souza LinoPhysical Education, Research and Study Group on Health and Human Performance, Bahian School of Medicine and Public Health.
Eric Simas BomfimBiomechanics and Strength Training Specialist, Obesity Treatment and Surgery Center.
Felipe Almeida SantosPhysical Education, Research and Study Group on Health and Human Performance, Bahian School of Medicine and Public Health.
Ciro Oliveira QueirozMedicine and Human Health, Research and Study Group on Health and Human Performance, Bahian School of Medicine and Public Health.
Lélia Lessa PintoNursing and Health, Research and Study Group on Health and Human Performance, Bahian School of Medicine and Public Health.
Luiz Alberto Bastos AlmeidaHuman Motricity Science, Feira de Santana State University.
Clarcson Plácido SantosMedicine and Human Health, Research and Study Group on Health and Human Performance, Bahian School of Medicine and Public Health.
Escola Bahiana de Medicina e Saúde Pública · BRUniversidade Estadual de Feira de Santana · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to identify, among the different anthropometric indicators, the one that shows higher discriminatory power for the prognosis of Obstructive Sleep Apnea Syndrome (OSAS).

designObservational cross-sectional study

participantsObese individuals elective to bariatric surgery

methodsA study based on data of 758 patients aged ≥ 21 years old, of both sexes, in the pre-operatory stage of the surgical procedure of gastric bypass. Obstructive sleep apnea and obstructive sleep hypopnea were evaluated and classified through the apnea-hypopnea index, which was obtained through the examination of polysomnography. Variables were divided into two groups: individuals with and without OSAS. As predictors, measures of body mass index (BMI), neck circumference (NC), and waist circumference (WC) were used.

resultsThe area under the ROC curve was used to check the sensitivity and specificity. All evaluated anthropometric indicators showed statistical significance. WC: area of 0.62 (CI 95%: 0.58 - 0.67), NC: area of 0,68 (CI 95%: 0.64 - 0.72) and BMI: area of 0.58 (CI 95%: 0.54 - 0.63).

conclusionThe investigated anthropometric indicators performed as good predictors of OSAS. However, NC seems to be the best anthropometric indicator for the prognosis of OSAS in obese individuals when compared to BMI and WC.

Indexed as

AnthropometryBody Mass IndexObesityObstructivePrognosisSleep ApneaWaist Circumference

Identifiers

PMID36028283
PMCPMC9544195
OpenAlexW4298285509

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.