Saliva in the diagnosis of COVID-19

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Saliva has been suggested as having potential diagnostic value in COVID-19 patients. In this blog Manas Dave looks at a recent review of the subject which included 28 studies.

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Autism and eating disorders: is it time to give the PEACE pathway a chance?

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Rachel Symons explores a new paper about the PEACE pathway (Pathway for Eating disorders and Autism developed from Clinical Experience), which hopes to increase understanding and improve care for patients with a dual diagnosis of autism and eating disorders.

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Interproximal caries detection: near-infrared light transillumination (NILT) compared to bitewing radiograph

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This review of the accuracy of the near-infrared light transillumination (NILT) for the detection of interproximal dental caries in permanent dentition included 13 studies with 6 contributing to a meta-analasis. Findings suggest that NILT is reasonably comparable to bitewings.

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Coronavirus SARS-CoV-2 screening: Could it accidentally cause local lockdowns?

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Mark-Steven Howe takes a look coronavirus SARS-CoV-2 screening and the implications of false positive tests in this blog

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Dentistry, Diagnostic Test Accuracy (DTA) and the Covid-19 Antibody Test

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Mark-Steven Howe looks at the diagnostic test accuracy of Covid-19 antibody tests in this opinion piece.

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Dental pulp testing methods: which is best?

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This review of dental pulp test accuracy included 28 studies. While the findings suggest that laser doppler flowmetry and pulse oximitery are the most accurate the quality of the available studies is low.

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Panoramic radiography for predicting inferior alveolar nerve injury after third molar surgery

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This review of panoramic radiography for IAN injury prediction after third molar surgery included 8 studies calculating key diagnostic data fro the 7 classical used signs. Values were to low to rule out post-operative damage before surgery but some siigns could rule in risk of injury.

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Cognitive tests for dementia: MMSE, Mini-Cog and ACE-R

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Akshay Nair explores the results of a systematic review of cognitive tests for dementia and mild cognitive impairment, which focuses on the MMSE, Mini-Cog, ACE-R and MoCA instruments. Along the way he explains how diagnostic tests work and how sensitivity and specificity are useful measures to get your head around.

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Rise of the machine learning algorithm: the future of diagnosing schizophrenia?

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Samei Huda reviews a meta-analysis of multivariate pattern recognition studies, which aims to detect neuroimaging biomarkers for schizophrenia.

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Can early improvement be used to predict later response to antipsychotics in schizophrenia?

The increased risk of mood and anxiety problems found in people taking varenicline with pre-existing mental health conditions, needs to be investigated further.

Tracey Roberts summarises a recent diagnostic test review, which suggests that early improvement can act as a predictor of later response to antipsychotics in schizophrenia.

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