ArticleTurkish thoracic journal2018
Rationale and Design of the Turkish Sleep Apnea Database - TURKAPNE: A National, Multicenter, Observational, Prospective Cohort Study.
Article in Turkish thoracic journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02784977 (TURKAPNE - The Turkish Sleep Apnea Database), which is not on this map. Cited by 6 papers.
What it found
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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.
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.
TURKAPNE - The Turkish Sleep Apnea Database: A National, Multicenter, Observational, Prospective Cohort Study
Who cites it
6 citing papers in PubMed, 4 citations in OpenAlex.
- Diabetes mellitus is associated with increased prevalence and severity of COMISA: evidence from the nationwide TURKAPNE cohort.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2026Observational
- Association of obstructive airway disease with COMISA: findings from the Turkish sleep apnea database (TURKAPNE) cohort.Sleep & breathing = Schlaf & Atmung · 2026Observational
- Clinical Characteristics of Moderate-to-Severe Obstructive Sleep Apnea: A Cross-sectional Analysis of 12,715 Adults from the TURKAPNE Cohort.Thoracic research and practice · 2026Article
- Association between COMISA and cardiovascular disease: Evidence from the TURKAPNE registry.PloS one · 2026Article
- Obstructive Sleep Apnea and Cardiovascular Disease: Where Do We Stand?Anatolian journal of cardiology · 2023Review
- The association of OSAS and uvula: the role of MRI in this egg-chicken problem in OSAS.Sleep & breathing = Schlaf & Atmung · 2020Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThe primary aim of The Turkish Sleep Apnea Database (TURKAPNE) study is to generate a cross-sectional nationwide database for defining the clinical and polysomnographic characteristics of the patients with obstructive sleep apnea (OSA) in Turkey. MATERIALS AND
methodsIn this ongoing project, all consecutive adults with suspected OSA are recruited from the sleep centers of the university and research hospitals in Turkey. Information on anthropometric data, educational status, driving license, smoking habits, alcohol use, comorbidities, drug use, questionnaires, polysomnographic, and/or cardiorespiratory polygraphic findings are recorded in a systematized Web-based report form. Blood glucose, lipids and other biochemical markers, lung function, and echocardiography measurements are optionally included. Follow-up data regarding treatment modality and compliance is assessed. Cross-sectional and longitudinal associations between OSA phenotypes and metabolic, pulmonary, and cardiovascular comorbidities as well as traffic accidents, and the impact of treatment will be further explored. We target a total sample of 10,000 participants.
resultsThe study was registered with ClinicalTrials.gov (NCT02784977) in May 2016 and the first patient was recruited in October 2017. A total of 1911 participants from 19 centers have been enrolled in the study by May 31, 2018.
conclusionThe TURKAPNE study will contribute to a better understanding of the health-related burden of OSA phenotypes and its association with the comorbidities and adverse outcomes, including traffic accidents in Turkey. The results may also contribute to a more personalized approach and better management of varying OSA phenotypes with concomitant disorders.
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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.