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  Vol. 277 No. 6, February 12, 1997 TABLE OF CONTENTS
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Clinical prediction rules. A review and suggested modifications of methodological standards

A. Laupacis, N. Sekar and I. G. Stiell
Department of Medicine, University of Ottawa, Ontario.

BACKGROUND: Clinical prediction rules are decision-making tools for clinicians, containing variables from the history, physical examination, or simple diagnostic tests. OBJECTIVE: To review the quality of recently published clinical prediction rules and to suggest methodological standards for their development and evaluation. DATA SOURCES: Four general medical journals were manually searched for clinical prediction rules published from 1991 through 1994. STUDY SELECTION: Four hundred sixty potentially eligible reports were identified, of which 30 were clinical prediction rules eligible for study. Most methodological standards could only be evaluated in 29 studies. DATA ABSTRACTION: Two investigators independently evaluated the quality of each report using a standard data sheet. Disagreements were resolved by consensus. DATA SYNTHESIS: The mathematical technique was used to develop the rule, and the results of the rule were described in 100% (29/29) of the reports. All the rules but 1 (97% [28/29]) were felt to be clinically sensible. The outcomes and predictive variables were clearly defined in 83% (24/29) and 59% (17/29) of the reports, respectively. Blind assessment of outcomes and predictive variables occurred in 41% (12/29) and 79% (23/29) of the reports, respectively, and the rules were prospectively validated in 79% (11/14). Reproducibility of predictive variables was assessed in only 3% (1/29) of the reports, and the effect of the rule on clinical use was prospectively measured in only 3% (1/30). Forty-one percent (12/29) of the rules were felt to be easy to use. CONCLUSIONS: Although clinical prediction rules comply with some methodological criteria, for other criteria, better compliance is needed.

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