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Slack R

Researcher at Royal United Hospital

Publications -  19
Citations -  2510

Slack R is an academic researcher from Royal United Hospital. The author has contributed to research in topics: Sinusitis & Prospective cohort study. The author has an hindex of 13, co-authored 19 publications receiving 2131 citations. Previous affiliations of Slack R include Royal College of Surgeons of England.

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Psychometric validity of the 22-item Sinonasal Outcome Test.

TL;DR: The psychometric validation of a disease‐specific health related quality of life instrument for use in chronic rhinosinusitis is determined, the 22 item Sinonasal Outcome Test (SNOT‐22), a modification of a pre‐existing instrument, the SNOT‐20.
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The Lund-Mackay staging system for chronic rhinosinusitis: how is it used and what does it predict?

TL;DR: The Lund-Mackay score correlates well with other markers of disease severity, the nature of surgery offered, and its outcome, and demonstrates the strengths and limitations of a commonly used staging system.
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Long-term outcomes from the English national comparative audit of surgery for nasal polyposis and chronic rhinosinusitis.

TL;DR: A large, prospective cohort study following patients who underwent surgery for chronic rhinosinusitis (CRS), with or without nasal polyps, in hospitals in England and Wales, finds five‐year outcomes will be reported and a previous analysis of the effectiveness of extensive surgery in the treatment of nasal polyposis is revisited.
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The national comparative audit of surgery for nasal polyposis and chronic rhinosinusitis

TL;DR: The results of a National Audit of sino‐nasal surgery carried out in England and Wales are summarized and patient and operative characteristics as well as patient outcomes up to 36 months after surgery are described.
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The Sino-Nasal Outcome Test (SNOT): can we make it more clinically meaningful?

TL;DR: The SNOT is not unidimensional and a SNOT total score will mask variation in the true underlying constructs, so evidence is found for the existence of four unique constructs within the SNOT.