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Träfflista för sökning "WFRF:(Hagen B) srt2:(2000-2004)"

Sökning: WFRF:(Hagen B) > (2000-2004)

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1.
  • Moller, P., et al. (författare)
  • Genetic epidemiology of BRCA1 mutations in Norway
  • 2001
  • Ingår i: European Journal of Cancer. - 1879-0852. ; 37:18, s. 2428-2434
  • Tidskriftsartikel (refereegranskat)abstract
    • Familial breast-ovarian cancer has been demonstrated to be frequent but unevenly distributed in Norway. This was assumed to be caused by the reduced population size created by the medieval Bubonic plague, 25 generations ago, and by the following rapid expansion. We have previously reported that four mutations account for 68% of the BRCA1 mutation carriers. Subsequent analysis has resulted in a total of 100 separate families carrying one of these founder mutations. The four mutations occurred on one specific BRCA1 haplotype each. The 1675delA, 816delGT and 3347detAG families originated from the South-West coast of Norway with a few Families in the north, while the traceable ancestors of the 1135insA families clustered along the historical inland road from the South-East to mid-Norway. The carriers of each of the four mutations today are descendants of one or a few individuals surviving the plagues. We may identify the majority of BRCA1 mutation carriers in Norway by screening for local founder mutations.
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3.
  • Tropé, C, et al. (författare)
  • Randomized study on adjuvant chemotherapy in stage I high-risk ovarian cancer with evaluation of DNA-ploidy as prognostic instrument
  • 2000
  • Ingår i: Annals of oncology : official journal of the European Society for Medical Oncology. - : Elsevier BV. - 0923-7534. ; 11:3, s. 8-281
  • Tidskriftsartikel (refereegranskat)abstract
    • PURPOSE: Adjuvant chemotherapy versus observation and chemotherapy at progression was evaluated in 162 patients in a prospective randomized multicenter study. We also evaluated DNA-measurements as an additional prognostic factor.PATIENTS AND METHODS: Patients received adjuvant carboplatin AUC 7 every 28 days for six courses (n = 81) or no adjuvant treatment (n = 81). Eligibility included surgically staged and treated patients with FIGO stage I disease, grade 1 aneuploid or grade 2 or 3 non-clear cell carcinomas or clear cell carcinomas. Disease-free (DFS) and disease-specific (DSS) survival were end-points.RESULTS: Median follow-up time was 46 months and progression was observed in 20 patients in the treatment group and 19 in the control group. Estimated five-year DFS and DSS were 70% and 86% in the treatment group and 71% and 85% in the control group. The hazard ratio was 0.98 (95% confidence interval (95% CI): 0.52-1.83) regarding DFS and 0.94 (95% CI: 0.37-2.36) regarding DSS. No significant differences in DFS or DSS could be seen when the log-rank test was stratified for prognostic variables. Therefore, data from both groups were pooled for the analysis of prognostic factors. DNA-ploidy (P = 0.003), extracapsular growth (P = 0.005), tumor rupture (P = 0.04), and WHO histologic grade (P = 0.04) were significant independent prognostic factors for DFS with P < 0.0001 for the model in the multivariate Cox analysis. FIGO substage (P = 0.01), DNA ploidy (P < 0.05), and histologic grade (P = 0.05) were prognostic for DSS with a P-value for the model < 0.0001.CONCLUSIONS: Due to the small number of patients the study was inconclusive as regards the question of adjuvant chemotherapy. The survival curves were superimposable, but with wide confidence intervals. DNA-ploidy adds objective independent prognostic information regarding both DFS and DSS in early ovarian cancer.
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4.
  • Valentin, Lil, et al. (författare)
  • Comparison of 'pattern recognition' and logistic regression models for discrimination between benign and malignant pelvic masses: a prospective cross validation
  • 2001
  • Ingår i: Ultrasound in Obstetrics & Gynecology. - : Wiley. - 1469-0705 .- 0960-7692. ; 18:4, s. 357-365
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVES: To test prospectively the diagnostic performance of two logistic regression models for calculation of individual risk of malignancy in adnexal tumors (the 'Tailor model' and the 'Timmerman model'), and to compare them to that of 'pattern recognition' (subjective evaluation of the gray-scale ultrasound image and color Doppler ultrasound examination). DESIGN: Consecutive women with a pelvic mass judged clinically to be of adnexal origin underwent preoperative ultrasound examination including color and spectral Doppler examination. The same examination techniques and definitions as those used in the studies in which the logistic regression models had been created were used. The Tailor model was tested in 133 women (35 of whom hada malignancy) and the Timmerman model in 82 women (29 of whom had a malignancy). A subset of 79 women (28 of whom had a malignancy) was used to compare the performance of the Tailor model and the Timmerman model by calculating and comparing the areas under the receiver operating characteristics curves of the two models. Sensitivity and specificity with regard to malignancy were calculated for all three methods. RESULTS: Pattern recognition performed better than the two logistic regression models (sensitivity around 85%, specificity around 90%). Using a risk of malignancy of > 50% to indicate malignancy (as suggested in the original publications), the sensitivity of the Tailor model was 69% and the specificity 88% (n = 133). The corresponding values for the Timmerman model were 62% and 79% (n = 82). The receiver operating characteristics curves showed the two logistic regression models to have similar diagnostic properties (area under the curve, 0.87 vs. 0.84; P = 0.25; n = 79). The diagnostic performance of the mathematical models was much poorer in this study than in those in which the models had been created. CONCLUSION: The poor diagnostic performance of the mathematical models can probably be explained by subtle differences in definitions and examination technique and by differences between the original tumor populations and the study population. For mathematical models to be generally useful, they probably need to be created on the basis of a very large number of tumors, and the variables in the model must be unequivocally defined and the examination technique meticulously standardized.
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