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Gordon H. Guyatt

Researcher at McMaster University

Publications -  1749
Citations -  262329

Gordon H. Guyatt is an academic researcher from McMaster University. The author has contributed to research in topics: Randomized controlled trial & Medicine. The author has an hindex of 231, co-authored 1620 publications receiving 228631 citations. Previous affiliations of Gordon H. Guyatt include Memorial Sloan Kettering Cancer Center & Cayetano Heredia University.

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Pilot study to determine the impact of a multidisciplinary educational intervention in patients hospitalized with heart failure.

TL;DR: An inhospital educational intervention improved knowledge and, possibly, quality of life and may be useful as part of a comprehensive compliance enhancing strategy in patients with HF.
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Transthoracic needle aspiration biopsy for the diagnosis of localised pulmonary lesions: a meta-analysis.

TL;DR: Given the intermediate pre-test probabilities that would probably lead to performing TNAB, findings of "malignant" or of a specific diagnosis of a benign condition provide definitive results.
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Evidence-based guidelines for supportive care of patients with Ebola virus disease

TL;DR: Key recommendations include administration of oral and, as necessary, intravenous hydration; systematic monitoring of vital signs and volume status; availability of key biochemical testing; adequate staffing ratios; and availability of analgesics, including opioids, for pain relief.
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A randomised trial to evaluate the self-administered standardised chronic respiratory questionnaire

TL;DR: Self-administration and standardisation of the Chronic respiratory questionnaire maintains validity and responsiveness relative to the interviewer-administered chronic respiratory questionnaire, and challenges the assumption that interviewer- administered questionnaires are superior to self- Administered questionnaires in older patients with chronic respiratory disease.
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Should study subjects see their previous responses

TL;DR: Large improvements in dyspnea, fatigue, and emotional function seen in patients undergoing treatment optimization were comparable using blind and informed methods, suggesting that by letting patients see their previous responses the authors can decrease the sample size needed to detect changes in quality of life in clinical trials.