Novel scoring system and algorithm for classifying chronic rhinosinusitis: the JESREC Study
Allergy2015Vol. 70(8), pp. 995–1003
Citations Over TimeTop 1% of 2015 papers
T Tokunaga, Masafumi Sakashita, Haruna Takeda, Daiya Asaka, Sachio Takeno, Hiroki Ikeda, T. Nakayama, Narihito Seki, Shin Ito, Junichi Murata, Yasunori Sakuma, Naohiro Yoshida, Tetsuya Terada, Ichiro Morikura, Hiroshi Sakaida, Kenji Kondo, KYOKO TERAGUCHI, Mitsuhiro Okano, Nobuyoshi Otori, Mamoru Yoshikawa, K. Hirakawa, S. Haruna, T. Himi, Katsuhisa Ikeda, J. Ishitoya, Y. Iino, Ryo Kawata, Hideyuki Kawauchi, Masayoshi Kobayashi, Tatsuya Yamasoba, Takaki Miwa, Mitsuyoshi Urashima, Mayumi Tamari, Emiko Noguchi, Takahiro Ninomiya, Yoshimasa Imoto, Taiyo Morikawa, Kaori Tomita, Tetsuji Takabayashi, Shigeharu Fujieda
Abstract
We subdivided CRSwNP in non-ECRS, mild, moderate, and severe ECRS according to our algorithm. This classification was significantly correlated with prognosis. It is notable that this algorithm may give useful information to clinicians in the refractoriness of CRS before ESS or biopsy.
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