Search filters for finding prognostic and diagnostic prediction studies in medline to enhance systematic reviews

PLoS ONE

Volumn 7, Issue 2, 2012, Pages

  Geersing, Geert Jan ^a   Bouwmeester, Walter ^a   Zuithoff, Peter ^a   Spijker, Rene ^b   Leeflang, Mariska ^b   Moons, Karel ^a  

^a UNIVERSITY MEDICAL CENTER UTRECHT   (Netherlands)

^b UNIVERSITY OF AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SYNTHESIS; DIAGNOSTIC ACCURACY; INFORMATION PROCESSING; INFORMATION RETRIEVAL; INFORMATION SYSTEM; MEDICAL RESEARCH; MEDLINE; PREDICTION; PROCESS DEVELOPMENT; PROCESS MODEL; PROGNOSIS; REVIEW; SENSITIVITY AND SPECIFICITY; SYSTEMATIC REVIEW (TOPIC); ALGORITHM; ARTICLE; BIOLOGY; COMPUTER; COMPUTER PROGRAM; FACTUAL DATABASE; HUMAN; METHODOLOGY; MULTIVARIATE ANALYSIS; RECEIVER OPERATING CHARACTERISTIC; REPRODUCIBILITY;

ALGORITHMS; BIOMEDICAL RESEARCH; COMPUTATIONAL BIOLOGY; COMPUTERS; DATABASES, FACTUAL; HUMANS; MEDLINE; MULTIVARIATE ANALYSIS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; ROC CURVE; SOFTWARE;

EID: 84857667538     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0032844     Document Type: Review

References (37)

1. Braitman LE, Davidoff F, (1996) Predicting clinical states in individual patients. Ann Intern Med 125: 406-412.
2. Laupacis A, Wells G, Richardson WS, Tugwell P, (1994) Users' guides to the medical literature. V. How to use an article about prognosis. Evidence-Based Medicine Working Group. JAMA 272: 234-237.
3. Royston P, Moons KG, Altman DG, Vergouwe Y, (2009) Prognosis and prognostic research: Developing a prognostic model. BMJ 338: b604.
4. Bruins Slot MH, Rutten FH, van der Heijden GJ, Geersing GJ, Glatz JF, et al. (2011) Diagnosing acute coronary syndrome in primary care: comparison of the physicians' risk estimation and a clinical decision rule. Fam Pract.
5. Geersing GJ, Janssen K, Oudega R, van Weert H, Stoffers H, et al. (2010) Diagnostic classification in patients with suspected deep venous thrombosis: physicians' judgement or a decision rule? Br J Gen Pract 60: 742-748.
6. Herridge MS, (2003) Prognostication and intensive care unit outcome: the evolving role of scoring systems. Clin Chest Med 24: 751-762.
7. Moons KG, Altman DG, Vergouwe Y, Royston P, (2009) Prognosis and prognostic research: application and impact of prognostic models in clinical practice. BMJ 338: b606.
8. Stiell I, Wells G, Laupacis A, Brison R, Verbeek R, et al. (1995) Multicentre trial to introduce the Ottawa ankle rules for use of radiography in acute ankle injuries. Multicentre Ankle Rule Study Group. BMJ 311: 594-597.
9. Ten Cate-Hoek AJ, Toll DB, Buller HR, Hoes AW, Moons KG, et al. (2009) Cost-effectiveness of ruling out deep venous thrombosis in primary care versus care as usual. J Thromb Haemost 7: 2042-2049.
10. Williams 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. Health Technol Assess 10: iii-iv, ix-xi: 1-204.
11. Hemingway H, Riley RD, Altman DG, (2009) Ten steps towards improving prognosis research. BMJ 339: b4184.
12. Moons KG, Royston P, Vergouwe Y, Grobbee DE, Altman DG, (2009) Prognosis and prognostic research: what, why, and how? BMJ 338: b375.
13. Reilly BM, Evans AT, (2006) Translating clinical research into clinical practice: impact of using prediction rules to make decisions. Ann Intern Med 144: 201-209.
14. Andre F, McShane LM, Michiels S, Ransohoff DF, Altman DG, et al. (2011) Biomarker studies: a call for a comprehensive biomarker study registry. Nat Rev Clin Oncol 8: 171-176.
15. Hlatky 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. Circulation 119: 2408-2416.
16. Janssens AC, Ioannidis JP, Bedrosian S, Boffetta P, Dolan SM, et al. (2011) Strengthening the reporting of Genetic RIsk Prediction Studies (GRIPS): explanation and elaboration. J Clin Epidemiol.
17. Moons KG, (2010) Criteria for scientific evaluation of novel markers: a perspective. Clin Chem 56: 537-541.
18. Kyzas PA, Denaxa-Kyza D, Ioannidis JP, (2007) Almost all articles on cancer prognostic markers report statistically significant results. Eur J Cancer 43: 2559-2579.
19. Altman DG, (2001) Systematic reviews of evaluations of prognostic variables. BMJ 323: 224-228.
20. Hayden JA, Cote P, Bombardier C, (2006) Evaluation of the quality of prognosis studies in systematic reviews. Ann Intern Med 144: 427-437.
21. Riley RD, Sauerbrei W, Altman DG, (2009) Prognostic markers in cancer: the evolution of evidence from single studies to meta-analysis, and beyond. Br J Cancer 100: 1219-1229.
22. Haynes RB, McKibbon KA, Wilczynski NL, Walter SD, Werre SR, (2005) Optimal search strategies for retrieving scientifically strong studies of treatment from Medline: analytical survey. BMJ 330: 1179.
23. Ingui BJ, Rogers MA, (2001) Searching for clinical prediction rules in MEDLINE. J Am Med Inform Assoc 8: 391-397.
24. Wong SS, Wilczynski NL, Haynes RB, Ramkissoonsingh R, (2003) Developing optimal search strategies for detecting sound clinical prediction studies in MEDLINE. AMIA Annu Symp Proc pp. 728-732.
25. Counsell C, Dennis M, (2001) Systematic review of prognostic models in patients with acute stroke. Cerebrovasc Dis 12: 159-170.
26. Ceriani E, Combescure C, Le Gal G, Nendaz M, Perneger T, et al. (2010) Clinical prediction rules for pulmonary embolism: a systematic review and meta-analysis. J Thromb Haemost 8: 957-970.
27. Serrano LA, Hess EP, Bellolio MF, Murad MH, Montori VM, et al. (2010) Accuracy and quality of clinical decision rules for syncope in the emergency department: a systematic review and meta-analysis. Ann Emerg Med 56: 362-373 e361.
28. Reilly BM, Evans AT, (2009) Much ado about (doing) nothing. Ann Intern Med 150: 270-271.
29. Laupacis A, Sekar N, Stiell IG, (1997) Clinical prediction rules. A review and suggested modifications of methodological standards. JAMA 277: 488-494.
30. Steyerberg EW, (2008) Clinical prediction models; A practical approach to development, validation, and updating Springer-Verlag New York Inc.
31. Wilczynski NL, Haynes RB, (2003) Developing optimal search strategies for detecting clinically sound causation studies in MEDLINE. AMIA Annu Symp Proc pp. 719-723.
32. Geersing GJ, Janssen KJ, Oudega R, Bax L, Hoes AW, et al. (2009) Excluding venous thromboembolism using point of care D-dimer tests in outpatients: a diagnostic meta-analysis. BMJ 339: b2990.
33. McGinn TG, Guyatt GH, Wyer PC, Naylor CD, Stiell IG, et al. (2000) Users' guides to the medical literature: XXII: how to use articles about clinical decision rules. Evidence-Based Medicine Working Group. JAMA 284: 79-84.
34. Dickersin K, Scherer R, Lefebvre C, (1994) Identifying relevant studies for systematic reviews. BMJ 309: 1286-1291.
35. Bachmann LM, Coray R, Estermann P, Ter Riet G, (2002) Identifying diagnostic studies in MEDLINE: reducing the number needed to read. J Am Med Inform Assoc 9: 653-658.
36. Koster J, (2004) http://bioinfo.amc.uva.nl/human-genetics/pubreminer/. Department of human genetics, AMC, Amsterdam.
37. Frantzi K, Ananiadou S, Mima H, (2000) Automatic recognition of multi-word terms. International Journal of Digital Libraries 3 (2): 117-132.