Filters to Identify Studies about Prognosis or Prediction


Inclusion of a search filter on this site is not an endorsement of its validity or a recommendation for its use by the editors of this site, by the InterTASC Information Specialists SubGroup or by the (UK) National Institute for Health and Care Excellence (NICE). For suggestions on the appraisal of filters see the ISSG Search Filter Appraisal Checklist.


This page shows publications that have reviewed search filter performance and individual search filters.

Publications that review search filter performance

Corp N.,Jordan J.L., Hayden J.A., Irvin E., Parker R., Smith A., van der Windt, D.A. Protocol: A systematic review of studies developing and/or evaluating search strategies to identify prognosis studies. Systematic Reviews. 6 (1), 2017. Article Number: 88. 

Kok R, Verbeek JAHM, Faber B,  van Dijk, Frank JH,  Hoving, Jan L A search strategy to identify studies on the prognosis of work disability: a diagnostic test framework. BMJ Open.  2015;5:e006315. doi:10.1136/bmjopen-2014-006315

Geersing GJ, Bouwmeester W, Zuithoff P, Spijker R, Leeflang M, Moons K. Search filters for finding prognostic and diagnostic prediction studies in Medline to enhance systematic reviews. PLoS One. 2012;7(2):e32844

Chatterley T, Dennett L. Utilisation of search filters in systematic reviews of prognosis questions. Health Info Libr J. 2012;29(4):309-22


Individual search filters

Database Filter
EMBASE

Holland JL, Wilczynski NL, Haynes RB. Optimal search strategies for identifying sound clinical prediction studies in EMBASE. BMC Med Inform Dec Mak. 2005;5:11. 

And also at http://hiru.mcmaster.ca/hiru/HIRU_Hedges_EMBASE_Strategies.aspx


Wilczynski NL, Haynes RB. Optimal search strategies for detecting clinically sound prognostic studies in EMBASE: an analytic survey. J Am Med Inform Assoc 2005;12(4):481-5. Also at http://hiru.mcmaster.ca/hiru/HIRU_Hedges_EMBASE_Strategies.aspx

MEDLINE

Frazier JJ, Stein CD, Tseytlin E, and Bekhuis T. Building a gold standard to construct search filters: a case study with biomarkers for oral cancer. J Med Libr Assoc. 2015; 103(1): 22–30.

Parker R, Tougas M, Hayden JA. When the RCT filter is not enough: best practices for finding prognosis studies.  J Can Health Libr Assoc.2014.

Parker R, Tougas M, Hayden JA. Validating prognosis search filters using relative recall based on prognosis systematic reviews. 21st Cochrane Colloquium, Quebec 19th - 23rd September 2013

Keogh C; Wallace E; O'Brien KK; Murphy PJ; Teljeur C; McGrath B; Smith SM; Doherty N; Dimitrov BD; Fahey T.  Optimized retrieval of primary care clinical prediction rules from MEDLINE to establish aWeb-based register. Journal of Clinical Epidemiology. 64(8):848-60, 2011 Aug. 

Wilczynski NL, Haynes RB. Developing optimal search strategies for detecting clinically sound prognostic studies in MEDLINE: an analytic survey. BMC Med. 2004;2:23. [PubMed]. Also at http://hiru.mcmaster.ca/hiru/HIRU_Hedges_MEDLINE_Strategies.aspx

The performance of the strategies have been reassessed in 2012/2013 in MEDLINE clinical queries are robust when searching in recent publishing years.


Wong SS, Wilczynski NL, Haynes RB, Ramkissoonsingh R, Hedges Team. Developing optimal search strategies for detecting sound clinical prediction studies in MEDLINE. AMIA Annual Symposium Proceedings 2003;728-32. [PubMed].

And also at http://hiru.mcmaster.ca/hiru/HIRU_Hedges_MEDLINE_Strategies.aspx

The performance of the strategies have been reassessed in 2012/2013 in

MEDLINE clinical queries are robust when searching in recent publishing years.


Ingui BJ, Rogers MA. Searching for clinical prediction rules in MEDLINE. J Am Med Inform Assoc. 2001;8(4):391-7. [PubMed]