ArticleSleep medicine: X2023
BASET scoring: A novel simple biometric score for screening and grading obstructive sleep apnea.
Article in Sleep medicine: X, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05511974 (BASET Scoring), which is not on this map. Cited by 1 paper.
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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
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BASET Scoring: A Novel Simple Biometric Score and Potential Tool for Diagnosis and Grading of Obstructive Sleep Apnea Syndrome Patients
Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Polysomnography (PSG) is the gold-standard diagnostic tool for Obstructive Sleep Apnea (OSA). However, the availability of PSG is limited, and OSA is widely underdiagnosed; more than 80% of most developed nations undiagnosed. There is no diagnostic validated simple tool with clear cutoff point for predicting and roll out patient with OSA in primary care clinics significantly alters clinical outcomes. Objectives: Our study aimed to assess the validity of BASET scoring as a new potential tool for screening and grading the severity of OSA patients. Methods: After institution review board approval and formal patient consent, 144 subjects for suspected OSA and their relatives were enrolled. All subjects were subjected to a full night PSG study after history taking, sleep questionnaires, and physical examination, including BASET score components: Results: This study included 63 OSAS patients, 33 (52.38%) males and 30 (47.62%) females, and 81 controls; 22 (27.16%) males and 50 (72.84%) females. The Cronbach's alpha for the 5 BASET score components was 0.846, indicating the internal consistency reliability of the scale. Moreover, BASET score has a moderately strong positive significant correlation (r = 0.778, p<0.001) with AHI. By ROC analysis, the accuracy of the three measures was generally high, with BASET score predicting OSA most accurately (AUC=0.984, 95%CI: 0.956-0.999), followed by STOP-Bang (AUC=0.939, 95%CI: (0.887-0.972) and Berlin (AUC=0.901, 95%CI: 0.841-0.945). The AUC of BASET score was significantly higher compared to the Berlin score (difference= 0.0825, 95%CI: 0.039-0.125) and STOP-Bang score (difference= 0.0447, 95%CI: 0.011-0.078). On the other hand, there was no difference between the AUC of Berlin and STOP-Bang scores (difference=0.0378, 95%CI: 0.006 - 0.081 4). BASET score was significantly (p<0.001) associated with OSA grades. Conclusion: BASET score is a convenient, reliable, and valid tool for diagnosing OSA. BASET score is more accurate for predicting OSA than Berlin and STOP-Bang scores, while there is no difference between Berlin and STOP-Bang scores. BASET score indicates OSA grades. Registration of clinical trials by number: NCT05511974. Name of the registry: ClinicalTrials.gov URL: https://clinicaltrials.gov/.
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