Literature DB >> 10583572

Predicting the future: a critical appraisal of cancer prognosis studies.

P A Hall1, J J Going.   

Abstract

Many studies have attempted to define useful prognostic and predictive factors in cancer but few have achieved acceptance in clinical practice because of methodological weaknesses. These include failure to test clearly formulated hypotheses, inadequate sample size, inappropriate multiple significance testing, arbitrary definition of patient groups, inadequately reproducible assays, and failure to verify prognostic factors with data independent of the data which suggested the original hypothesis. This unsatisfactory situation will persist until critical attention is routinely paid to study design and prospective validation of supposed prognostic and predictive factors, without which classical approaches will be suboptimally exploited and the flood of data from new molecular technologies will not be used effectively. We propose that prognostic factors should be evaluated in three phases: I, assay definition; II, retrospective testing; III, prospective testing, ideally as a designed part of clinical trials.

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Year:  1999        PMID: 10583572     DOI: 10.1046/j.1365-2559.1999.00862.x

Source DB:  PubMed          Journal:  Histopathology        ISSN: 0309-0167            Impact factor:   5.087


  12 in total

1.  Observer accuracy in estimating proportions in images: implications for the semiquantitative assessment of staining reactions and a proposal for a new system.

Authors:  S S Cross
Journal:  J Clin Pathol       Date:  2001-05       Impact factor: 3.411

2.  Reporting recommendations for tumor marker prognostic studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  BMC Med       Date:  2012-05-29       Impact factor: 8.775

3.  Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.

Authors:  Douglas G Altman; Lisa M McShane; Willi Sauerbrei; Sheila E Taube
Journal:  PLoS Med       Date:  2012-05-29       Impact factor: 11.069

4.  A new prognostic staging system for rectal cancer.

Authors:  Hideki Ueno; Ashley B Price; Kay H Wilkinson; Jeremy R Jass; Hidetaka Mochizuki; Ian C Talbot
Journal:  Ann Surg       Date:  2004-11       Impact factor: 12.969

Review 5.  Clinical relevance of molecular genetics to paediatric sarcomas.

Authors:  Olga Slater; Janet Shipley
Journal:  J Clin Pathol       Date:  2007-04-27       Impact factor: 3.411

6.  Expression of MUC1 in esophageal squamous-cell carcinoma and its relationship with prognosis of patients from Linzhou city, a high incidence area of northern China.

Authors:  Zi-Bo Song; Shan-Shan Gao; Xin-Na Yi; Yan-Jie Li; Qi-Ming Wang; Ze-Hao Zhuang; Li-Dong Wang
Journal:  World J Gastroenterol       Date:  2003-03       Impact factor: 5.742

Review 7.  Chapter 12: systematic review of prognostic tests.

Authors:  Thomas S Rector; Brent C Taylor; Timothy J Wilt
Journal:  J Gen Intern Med       Date:  2012-06       Impact factor: 5.128

8.  Individual participant data meta-analysis for a binary outcome: one-stage or two-stage?

Authors:  Thomas P A Debray; Karel G M Moons; Ghada Mohammed Abdallah Abo-Zaid; Hendrik Koffijberg; Richard David Riley
Journal:  PLoS One       Date:  2013-04-09       Impact factor: 3.240

9.  REporting recommendations for tumour MARKer prognostic studies (REMARK).

Authors:  L M McShane; D G Altman; W Sauerbrei; S E Taube; M Gion; G M Clark
Journal:  Br J Cancer       Date:  2005-08-22       Impact factor: 7.640

10.  The role of vascular endothelial growth factor (VEGF) and p53 status for angiogenesis in gastric cancer.

Authors:  Young Eun Joo; Young Hae Sohn; So Young Joo; Wan Sik Lee; Sang Woon Min; Chang Hwan Park; Jong Sun Rew; Sung Kyu Choi; Chang Soo Park; Young Jin Kim; Sei Jong Kim
Journal:  Korean J Intern Med       Date:  2002-12       Impact factor: 2.884

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