Literature DB >> 6548543

CRITLEVEL: an exploratory procedure for the evaluation of quantitative prognostic factors.

U Abel, J Berger, H Wiebelt.   

Abstract

Mesh:

Year:  1984        PMID: 6548543

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


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  18 in total

1.  Why do so many prognostic factors fail to pan out?

Authors:  S G Hilsenbeck; G M Clark; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

2.  Placental isoferritin associated p43 antigen correlates with features of high differentiation in breast cancer.

Authors:  H R Rosen; C Moroz; A Reiner; M Reinerova; M Stierer; J Svec; M Schemper; R Jakesz
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

3.  DNA analysis, chemoresistance testing and hormone receptor levels as prognostic factors in advanced ovarian carcinoma.

Authors:  J Schneider; L Edler; W Kleine; M Volm
Journal:  Arch Gynecol Obstet       Date:  1990       Impact factor: 2.344

4.  The Expression of Lysosomal Proteinases and Their Inhibitors in Breast Cancer: Possible Relationship to Prognosis of the Disease.

Authors:  Tamara T Lah; Janko Kos; Andrej Blejec; Snezana Frkovic-Georgio; Rastko Golouh
Journal:  Pathol Oncol Res       Date:  1997       Impact factor: 3.201

5.  Claudin-6 is a single prognostic marker and functions as a tumor-promoting gene in a subgroup of intestinal type gastric cancer.

Authors:  Tomohiro Kohmoto; Kiyoshi Masuda; Katsutoshi Shoda; Rizu Takahashi; Sae Ujiro; Shoichiro Tange; Daisuke Ichikawa; Eigo Otsuji; Issei Imoto
Journal:  Gastric Cancer       Date:  2019-10-25       Impact factor: 7.370

6.  Cathepsin B fraction active at physiological pH of 7.5 is of prognostic significance in squamous cell carcinoma of human lung.

Authors:  B Werle; B Jülke; T Lah; E Spiess; W Ebert
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

7.  Cyclin A is associated with an unfavourable outcome in patients with non-small-cell lung carcinomas.

Authors:  M Volm; R Koomägi; J Mattern; G Stammler
Journal:  Br J Cancer       Date:  1997       Impact factor: 7.640

8.  Flow cytometry in primary breast cancer: improving the prognostic value of the fraction of cells in the S-phase by optimal categorisation of cut-off levels.

Authors:  H Sigurdsson; B Baldetorp; A Borg; M Dalberg; M Fernö; D Killander; H Olsson; J Ranstam
Journal:  Br J Cancer       Date:  1990-11       Impact factor: 7.640

9.  PrognoScan: a new database for meta-analysis of the prognostic value of genes.

Authors:  Hideaki Mizuno; Kunio Kitada; Kenta Nakai; Akinori Sarai
Journal:  BMC Med Genomics       Date:  2009-04-24       Impact factor: 3.063

10.  Predicting recurrence using the clinical factors of patients with non-small cell lung cancer after curative resection.

Authors:  Hyun Joo Lee; Jisuk Jo; Dae-Soon Son; Jinseon Lee; Yong Soo Choi; Kwhanmien Kim; Young Mog Shim; Jhingook Kim
Journal:  J Korean Med Sci       Date:  2009-09-23       Impact factor: 2.153

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