Literature DB >> 1988581

When is a prognostic factor useful? A guide for the perplexed.

M N Levine1, G P Browman, M Gent, R Roberts, M Goodyear.   

Abstract

Traditionally, a number of variables have been used to predict outcome in patients with early-stage breast cancer. These tests are simple to perform and relatively inexpensive. Recently, a number of new factors, eg, tumor proliferative index, nuclear DNA content, and amplification or overexpression of growth-promoting genes or oncogenes have been identified as potential predictors of outcome in patients with breast cancer. There is now increasing pressure to introduce such tests into routine clinical practice. How does a clinical practitioner identify which test, or group of tests, best predicts adverse outcome and whether any more clinically useful information is provided than with the use of more traditional factors alone? The aim of a prognostic test in breast cancer is to predict which patients are destined to develop a recurrence of cancer and those who are not. The prognostic usefulness of a test can be expressed in terms of relative risk (RR), which is the ratio of the risk of breast cancer recurrence in patients who test positive to the risk in those who test negative. Methodologic guidelines that should be satisfied by a study evaluating the predictive ability of a test include the following: (1) Was an inception cohort assembled? (2) Was the referral pattern described? (3) Were laboratory and clinical outcomes assessed in a blinded fashion? (4) Was complete follow-up achieved? (5) Was adjustment for extraneous prognostic factors carried out? (6) Were appropriate statistical methods used? An approach is suggested to help the clinician choose the test, or combination of tests, likely to discriminate between "high-" and "low-risk" patients in his/her own practice. The decision regarding what particular threshold value (risk) defined by a prognostic test (or series of tests) warrants adjuvant therapy for an individual patient is a complex one but should be based on a clear presentation of the risks and benefits to the patient.

Entities:  

Mesh:

Year:  1991        PMID: 1988581     DOI: 10.1200/JCO.1991.9.2.348

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  8 in total

1.  Systematic reviews of evaluations of prognostic variables.

Authors:  D G Altman
Journal:  BMJ       Date:  2001-07-28

2.  Prognostic factors and natural history in lymph node-negative breast cancer patients.

Authors:  R Arriagada; L E Rutqvist; L Skoog; H Johansson; A Kramar
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

3.  Biomarkers for breast cancer.

Authors:  C C Benz
Journal:  West J Med       Date:  1996-02

Review 4.  Statistical aspects of prognostic factor studies in oncology.

Authors:  R Simon; D G Altman
Journal:  Br J Cancer       Date:  1994-06       Impact factor: 7.640

5.  Utility of pre-treatment neutrophil-lymphocyte ratio and platelet-lymphocyte ratio as prognostic factors in breast cancer.

Authors:  C-H Koh; N Bhoo-Pathy; K-L Ng; R S Jabir; G-H Tan; M-H See; S Jamaris; N A Taib
Journal:  Br J Cancer       Date:  2015-05-28       Impact factor: 7.640

6.  Prognostic role of systemic immune-inflammation index in solid tumors: a systematic review and meta-analysis.

Authors:  Jie-Hui Zhong; Dan-Hui Huang; Zi-Yu Chen
Journal:  Oncotarget       Date:  2017-06-29

Review 7.  Tumor mutational burden in lung cancer: a systematic literature review.

Authors:  Connor Willis; Michelle Fiander; Dao Tran; Beata Korytowsky; John-Michael Thomas; Florencio Calderon; Teresa M Zyczynski; Diana Brixner; David D Stenehjem
Journal:  Oncotarget       Date:  2019-11-12

8.  The clinical epidemiology of superficial bladder cancer. Dutch South-East Cooperative Urological Group.

Authors:  L A Kiemeney; J A Witjes; A L Verbeek; R P Heijbroek; F M Debruyne
Journal:  Br J Cancer       Date:  1993-04       Impact factor: 7.640

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.