ID | 31310 |
JaLCDOI | |
フルテキストURL | |
著者 |
Tamura, Makoto
Okayama University
Ueoka, Hiroshi
Okayama University
Shibayama, Takuo
Okayama University
Miyatake, Kazuyo
Okayama University
Genba, Kenichi
Okayama University
Hiraki, Shunkichi
Okayama Cross Hospital
harada, Mine
Okayama University
|
抄録 | In order to elucidate factors influencing the prognosis of small-cell lung cancer (SCLC), we reviewed the records of 253 patients with SCLC and evaluated 20 pretreatment prognostic factors by univariate analysis and Cox's multiple regression analysis. Recursive partitioning and amalgamation (RPA) was employed to identify subgroups with similar survival rates. Cox's multiple regression analysis identified five significant factors: extent of disease, number of metastatic sites, serum albumin, serum lactate dehydrogenase, and presence of weight loss. Among these, extent of disease was the most influential factor. RPA analysis revealed three subgroups predicting significantly different prognoses. The median survival time and 3-year survival rate were 18.4 months and 20.6%, respectively for the good-risk group (limited disease without weight loss), 13.5 months and 9.1%, respectively for the intermediate-risk group (limited disease with weight loss or extensive disease with less than two metastatic sites), and 9.2 months and 0%, respectively for the poor-risk group (extensive disease with two or more metastatic sites). These results will be useful for development of new staging system or subsequent stratification for randomized trials. |
キーワード | prognostic factors
Cox's multiple regression analysis
recursive partitioning and amalgamayion method
small-sell lung canser
|
Amo Type | Article
|
発行日 | 1998-04
|
出版物タイトル |
Acta Medica Okayama
|
巻 | 52巻
|
号 | 2号
|
出版者 | Okayama University Medical School
|
開始ページ | 105
|
終了ページ | 111
|
ISSN | 0386-300X
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NCID | AA00508441
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資料タイプ |
学術雑誌論文
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言語 |
English
|
論文のバージョン | publisher
|
査読 |
有り
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PubMed ID | |
Web of Science KeyUT |