A logistic regression model for predicting malignant pheochromocytomas

Journal of Cancer Research and Clinical Oncology

Volumn 134, Issue 6, 2008, Pages 631-634

  Gao, Baohua ^a   Sun, Yanxia ^a   Liu, Zhongguo ^b   Meng, Fanwei ^c   Shi, Benkang ^c   Liu, Yuqiang ^c   Xu, Zhishun ^c  

^a Fourth Hospital of Jinan City   (China)

^b Binzhou Medical Colleage ^*  (China)

^c SHANDONG UNIVERSITY   (China)

Author keywords

Benign; Logistic model; Malignant; Pheochromocytoma; Receiver operating characteristic curve

Indexed keywords

ADULT; ARTICLE; CLINICAL FEATURE; CONFIDENCE INTERVAL; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MALIGNANT NEOPLASTIC DISEASE; MITOSIS RATE; PHEOCHROMOCYTOMA; PREDICTOR VARIABLE; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; RISK; SPINDLE CELL; TISSUE CHARACTERIZATION; TUMOR VOLUME;

ADRENAL GLAND NEOPLASMS; ADULT; AGED; FEMALE; HUMANS; LOGISTIC MODELS; MALE; MIDDLE AGED; PHEOCHROMOCYTOMA; REPRODUCIBILITY OF RESULTS; ROC CURVE;

EID: 41849124567     PISSN: 01715216     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00432-007-0261-6     Document Type: Article

References (18)

1. Allibhai Z et al (2004) Malignant pheochromocytoma associated with germline mutation of the SDHB gene. J Urol 172(4 Pt 1):1409-1410
2. Anouar Y et al (2006) Development of novel tools for the diagnosis and prognosis of pheochromocytoma using peptide marker immunoassay and gene expression profiling approaches. Ann N Y Acad Sci 1073:533-540
3. Arnaldi G et al (2000) Adrenal incidentaloma. Braz J Med Biol Res 33(10):1177-1189
4. Aslam N et al (2000) Prospective evaluation of logistic regression models for the diagnosis of ovarian cancer. Obstet Gynecol 96(1):75-80
5. Bautista CV et al (2007) Telomerase activity is a prognostic factor for recurrence and survival in rectal cancer. Dis Colon Rectum 50:611-620
6. Brouwers FM et al (2006) Gene expression profiling of benign and malignant pheochromocytoma. Ann N Y Acad Sci 1073:541-556
7. Cassidy LD (2005) Basic concepts of statistical analysis for surgical research. J Surg Res 128:199-206
8. Favier J et al (2002) Angiogenesis and vascular architecture in pheochromocytomas: distinctive traits in malignant tumors. Am J Pathol 161(4):1235-1246
9. Melicow MM (1977) One hundred cases of pheochromocytoma (107 tumors) at the Columbia-Presbyterian Medical Center, 1926-1976: a clinicopathological analysis. Cancer 40(5):1987-2004
10. Modlin IM et al (1979) Phaeochromocytomas in 72 patients: clinical and diagnostic features, treatment and long term results. Br J Surg 66(7):456-465
11. Obuchowski NA (2005) ROC analysis. AJR Am J Roentgenol 184(2):364-372
12. Salmenkivi K et al (2001) Inhibin/activin betaB-subunit expression in pheochromocytomas favors benign diagnosis. J Clin Endocrinol Metab 86(5):2231-2235
13. Salmenkivi K et al (2001) Increased expression of cyclooxygenase-2 in malignant pheochromocytomas. J Clin Endocrinol Metab 86(11):5615-5619
14. Scott HW Jr et al (1982) Clinical experience with malignant pheochromocytomas. Surg Gynecol Obstet 154(6):801-818
15. Segawa N, Osafune T (2005) Malignant pheochromocytoma of the urinary bladder. Hinyokika Kiyo 51(4):291-296
16. Steyerberg EW et al (2004) Validation and updating of predictive logistic regression models: a study on sample size and shrinkage. Stat Med 23(16):2567-2586
17. Vergouwe Y et al (2005) Substantial effective sample sizes were required for external validation studies of predictive logistic regression models. J Clin Epidemiol 58(5):475-483
18. Wada K et al (2005) Chromosomal and genetic abnormalities in benign and malignant meningiomas using DNA microarray. Neurol Res 27(7):747-754