Category: Public Health & Epidemiology
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CBC-derived ratios show limited diagnostic value in rheumatic disease tuberculosis
This research indicates that complete blood cell count-derived ratios may help identify active tuberculosis and estimate risk, but they are limited as standalone tests in people with rheumatic diseases.
AI-assisted summary
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Structured prioritization supports living guideline development
This research indicates that a structured, iterative topic prioritization process can help develop living evidence-informed guidelines and keep them responsive to emerging evidence.
AI-assisted summary
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Short-course anti-TB therapy preceded regression of a reactivated tuberculous focus
This research indicates that a short course of anti-tuberculosis therapy may reduce the bacterial burden in a tislelizumab-reactivated stable tuberculosis focus and allow continued immune checkpoint inhibitor treatment.
AI-assisted summary
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Most patients with trace Ultra results were advised to receive TB treatment
This research indicates that roughly half of adults and adolescents with trace sputum Ultra results were recommended tuberculosis treatment, while some with low-risk features and negative other tests may be able to defer treatment with follow-up.
AI-assisted summary
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COVID-19 and non-COVID respiratory infections showed similar long-term health effects
This research indicates that long-term self-rated physical health and work-related functioning after COVID-19 were comparable to outcomes after similar respiratory infections that tested negative for COVID-19.
AI-assisted summary
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States frame diasporas as security threats to reinforce national unity
This research indicates that states often construct diasporas, especially those from conflict regions, as security threats in ways that reaffirm national unity and safety.
AI-assisted summary
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TikTok refugees and RedNote natives formed a cosmopolitan discursive community
This research indicates that the U.S. TikTok ban prompted platform migration that, through everyday interaction on RedNote, turned into affective solidarity and a cosmopolitan discursive community.
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COVID-19 threat and efficacy shaped fear, compliance, and discrimination
This research indicates that perceived threat in COVID-19 news was linked to more fear, greater compliance with preventive measures, and more health discrimination, while perceived efficacy changed how fear affected those outcomes.
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tNGS showed high accuracy for non-sputum tuberculosis detection
This research indicates that nanopore-based targeted next-generation sequencing can diagnose tuberculosis and detect some drug resistance in non-sputum specimens with high accuracy.
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Machine learning improved smoking identification in health records
This research indicates that machine learning models using linked administrative health data identified current smokers more sensitively than rule-based algorithms, while rule-based algorithms were more specific.
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