Articles: sensitivity-specificity.
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Critical care medicine · Jul 2018
Meta AnalysisDiagnostic Accuracy of Chest Radiograph, and When Concomitantly Studied Lung Ultrasound, in Critically Ill Patients With Respiratory Symptoms: A Systematic Review and Meta-Analysis.
Chest radiograph is considered the first-line diagnostic imaging modality for patients presenting with pulmonary symptoms in the ICU. In this meta-analysis, we aim to evaluate the diagnostic accuracy of chest radiograph, and when concomitantly studied lung ultrasound, in comparison with the gold-standard CT for adult critically ill patients with respiratory symptoms. ⋯ This meta-analysis demonstrates that chest radiograph has a low sensitivity and reasonable specificity compared with CT for detecting lung pathology in critically ill patients. The studies also investigating lung ultrasound, showed lung ultrasound to be clearly superior to chest radiograph in terms of sensitivity with similar specificity, thereby opting to be the first-line diagnostic tool in these patients.
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Cardiac troponin (cTn) is a highly specific biomarker of myocardial injury and is central to the diagnosis of acute myocardial infarction (AMI). By itself, however, cTn cannot identify the cause of myocardial injury. 'Troponinitis' is the condition that leads clinicians to falsely assign a diagnosis of AMI based only on the fact that a patient has an elevated cTn concentration. There are many causes of myocardial injury other than AMI. ⋯ Second, clinicians must consider the patient's baseline condition in order to determine the presence or absence of factors that may predict a chronic cTn elevation. Third, clinicians should routinely use serial sampling to detect a change of cTn that is expected in patients with acute (rather than chronic) myocardial injury. Using these simple principles, clinicians can avoid underdiagnosis and overdiagnosis of AMI.
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Within systematic reviews, when searching for relevant references, it is advisable to use multiple databases. However, searching databases is laborious and time-consuming, as syntax of search strategies are database specific. We aimed to determine the optimal combination of databases needed to conduct efficient searches in systematic reviews and whether the current practice in published reviews is appropriate. While previous studies determined the coverage of databases, we analyzed the actual retrieval from the original searches for systematic reviews. ⋯ Optimal searches in systematic reviews should search at least Embase, MEDLINE, Web of Science, and Google Scholar as a minimum requirement to guarantee adequate and efficient coverage.
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The lancet oncology · Dec 2017
Review Meta AnalysisIncomplete excision of cervical precancer as a predictor of treatment failure: a systematic review and meta-analysis.
Incomplete excision of cervical precancer is associated with therapeutic failure and is therefore considered as a quality indicator of clinical practice. Conversely, the risk of preterm birth is reported to correlate with size of cervical excision and therefore balancing the risk of adequate treatment with iatrogenic harm is challenging. We reviewed the literature with an aim to reveal whether incomplete excision, reflected by presence of precancerous tissue at the section margins, or post-treatment HPV testing are accurate predictors of treatment failure. ⋯ European Federation for Colposcopy and Institut national du Cancer (INCA).
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Sleep medicine reviews · Dec 2017
Review Meta AnalysisDiagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis.
Obstructive sleep apnea (OSA) is a highly prevalent sleep disorder; however, it remains underdiagnosed and undertreated. Although screening tools such as the Berlin questionnaire (BQ), STOP-BANG questionnaire (SBQ), STOP questionnaire (STOP), and Epworth sleepiness scale (ESS) are widely used for OSA, the findings regarding their diagnostic accuracy are controversial. Therefore, this meta-analysis investigated and compared the summary sensitivity, specificity, and diagnostic odds ratio (DOR) among the BQ, SBQ, STOP, and ESS according to the severity of OSA. ⋯ Moreover, age, sex, body mass index, study sample size, study populations, presence of comorbidities, PSG or portable monitoring performance, and risk of bias in the domains of the index test and reference standard were significant moderators of sensitivity and specificity (P < .05). Compared with the BQ, STOP, and ESS, the SBQ is a more accurate tool for detecting mild, moderate, and severe OSA. Sleep specialists should use the SBQ to conduct patient interviews for the early diagnosis of OSA in clinical settings, particularly in resource-poor countries and sleep clinics where PSG is unavailable.