Evidence map›Paper›PMID 41908345›Full record

ArticleJournal of clinical practice and research2026

Clinical and Anthropometric Correlates of Polysomnography-Defined Severity in Obstructive Sleep Apnea Syndrome.

Elvan Senturk Topaloglu, Neslihan Ozcelik, Songul Ozyurt, Aziz Gumus, Unal Sahin

Abstract read
In one paragraph

Article in Journal of clinical practice and research, 2026. 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.

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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

5 authors.

Elvan Senturk TopalogluDepartment of Pulmonology, Recep Tayyip Erdoğan University, Faculty of Medicine, Rize, Türkiye.
Neslihan OzcelikDepartment of Pulmonology, Recep Tayyip Erdoğan University, Faculty of Medicine, Rize, Türkiye.
Songul OzyurtDepartment of Pulmonology, Recep Tayyip Erdoğan University, Faculty of Medicine, Rize, Türkiye.
Aziz GumusDepartment of Pulmonology, Recep Tayyip Erdoğan University, Faculty of Medicine, Rize, Türkiye.
Unal SahinDepartment of Pulmonology, Recep Tayyip Erdoğan University, Faculty of Medicine, Rize, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Obstructive sleep apnea syndrome (OSAS) is a common sleep-related breathing disorder frequently associated with cardiometabolic morbidity. In this retrospective study of 339 adults who underwent polysomnography (PSG) between January 2020 and December 2024, we investigated the relationship between routinely obtained clinical and anthropometric measures-body mass index (BMI), neck circumference (NC), waist circumference (WC), and the Epworth Sleepiness Scale (ESS)-and PSG-defined OSAS severity. Materials and Methods: Adults (≥18 years) who underwent overnight PSG and had complete clinical and anthropometric data were included. OSAS severity was defined using the apnea-hypopnea index (AHI): no OSA (<5 events/h), mild (5-14.9), moderate (15-29.9), and severe (≥30). Associations between AHI and clinical or anthropometric measures were assessed using Spearman's correlation analysis. Results: A total of 339 patients were included (mean age 46.1±12.0 years; 73.2% male; mean BMI 33.2±6.2 kg/m Conclusion: NC, WC, and ESS were associated with PSG-defined OSAS severity. However, correlations with age, weight, NC, and WC were weak in magnitude despite statistical significance, while BMI showed limited association. These routinely obtained measures may aid clinical assessment in sleep laboratory populations.

Indexed as

Anthropometryapnea–hypopnea indexEpworth Sleepiness Scaleneck circumferenceObstructive sleep apnea syndromepolysomnographywaist circumference

Identifiers

PMID41908345
PMCPMC13022836

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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.