The Journal of Bone and Joint Surgery (American) 83:916-926 (2001)
© 2001 The Journal of Bone and Joint Surgery, Inc.
Users Guide to the Orthopaedic Literature: How to Use an Article About a Surgical Therapy
Mohit Bhandari, MD, MSc,
Gordon H. Guyatt, MD, MSc and
Marc F. Swiontkowski, MD
Investigation performed at the Department of Clinical Epidemiology
and Biostatistics, McMaster University Health Sciences Center, Hamilton,
Ontario, Canada, and the Department of Orthopaedic Surgery, University
of Minnesota, Minneapolis, Minnesota
This article is the first in a series designed to help the orthopaedic
surgeon use the published literature in practice. We start with
the topic of the controlled trial, which is widely considered to
be the study design of greatest utility because of its systematic attempts
to limit bias. Controlled trials are difficult to perform in surgery
but are being conducted with increasing frequency.
M. Bhandari, MD, MSc
G.H. Guyatt, MD, MSc
Department of Clinical Epidemiology and Biostatistics, McMaster
University Health Sciences Center, Room 2C12, 1200 Main Street West,
Hamilton, ON L8N 3Z5, Canada. Please address requests for reprints
to G.H. Guyatt. E-mail address for M. Bhandari: bhandari{at}sympatico.ca
M.F. Swiontkowski, MD
Department of Orthopaedic Surgery, University of Minnesota, Box
492, Delaware Street N.E., Minneapolis, MN 55455
The authors did not receive grants or outside funding in support
of their research or preparation of this manuscript. They did not
receive payments or other benefits or a commitment or agreement
to provide such benefits from a commercial entity. No commercial
entity paid or directed, or agreed to pay or direct, any benefits
to any research fund, foundation, educational institution, or other
charitable or nonprofit organization with which the authors are affiliated
or associated.
Summary
We suggest a three-step approach when using an article from the
surgical literature to guide your patient care: (1) assess whether
the study can provide valid results, (2) review the results, and
(3) consider how the results might be applied to your patient.
Randomization, concealment, intention-to-treat analysis, similarity
of patients for known prognostic factors, blinding of patients and
outcome assessors, and completeness of follow-up are important guides
to study validity.
The 95% confidence interval around the treatment effect
is a measure of precision.
Consider whether all of the clinically important outcomes were
reported and whether the likely benefits of treatment outweigh the
potential harm and costs.

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