Prognosis and prognostic research validating a prognostic model

(1994) The Nottingham Prognostic Index applied to 9,149 patients from the studies of the Danish Breast Cancer Cooperative Group (DBCG). doi: 10.1007/bf00666005Williams C, Brunskill S, Altman D, Briggs A, Campbell H, et al.

(2006) Cost-effectiveness of using prognostic information to select women with breast cancer for adjuvant systemic therapy. Hockings RL, Mc Auley JH, Maher CG (2008) A systematic review of the predictive ability of the ?rebro Musculoskeletal Pain Questionnaire. doi: 10.1097/brs.0b013e31817ba3bb Melloh M, Elfering A, Egli Presland C, Roeder C, Barz T, et al.

(2009) Patient outcome after traumatic brain injury in high-, middle- and low-income countries: analysis of data on 8927 patients in 46 countries. doi: 10.1093/ije/dyn189Steyerberg EW, Borsboom GJ, van Houwelingen HC, Eijkemans MJ, Habbema JD (2004) Validation and updating of predictive logistic regression models: a study on sample size and shrinkage. doi: 10.1002/sim.1844Janssen KJ, Moons KG, Kalkman CJ, Grobbee DE, Vergouwe Y (2008) Updating methods improved the performance of a clinical prediction model in new patients. doi: 10.1016/j.jclinepi.20Hlatky MA, Greenland P, Arnett DK, Ballantyne CM, Criqui MH, et al.

(2009) Criteria for evaluation of novel markers of cardiovascular risk: a scientific statement from the American Heart Association. doi: 10.1161/circulationaha.109.192278Melander O, Newton-Cheh C, Almgren P, Hedblad B, Berglund G, et al.

In relation to the development of your systematic review methods, the methodological issues include:a. PROBAST: The PROBAST initiative has developed a formal risk of bias tool for risk prediction modeling studies.

prognosis and prognostic research validating a prognostic model-50

The Prognosis Methods Group has developed a Research Framework that has been used to set research priorities. To date, the following methodological tools have been developed to support your review: QUIPS: The QUIPS tool can be used to assess risk of bias in prognostic factor studies.

(2009) Identification of prognostic factors for chronicity in patients with low back pain: a review of screening instruments. doi: 10.1007/s00264-008-0707-8Kendall NAS, Linton SJ, Main CJ (1997) Guide to assessing psychosocial yellow flags in acute low back pain: risk factors for long-term disability and work loss.

Rehabilitation & Compensation Insurance Corporation of New Zealand, National Health Committee.

A growing number of prognostic indices for chronic obstructive pulmonary disease (COPD) is developed for clinical use.

Our aim is to identify, summarize and compare all published prognostic COPD indices, and to discuss their performance, usefulness and implementation in daily practice.

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