Checklist for Statistical Topics in Anesthesia & Analgesia Reviews : Anesthesia & Analgesia

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Checklist for Statistical Topics in Anesthesia & Analgesia Reviews

Dexter, Franklin MD, PhD

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Anesthesia & Analgesia 113(2):p 216-219, August 2011. | DOI: 10.1213/ANE.0b013e3182204e95
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In my role as Statistics Editor for Anesthesia & Analgesia, I have reviewed >200 papers each year for the past 3 years. This editorial summarizes the recurring statistical issues identified in papers submitted to the journal. Table 1 is an annotated version of my checklist.17 The checklist relies on some basic statistical definitions. Table 2 is an annotated glossary for words and phrases in Table 1.8 Many of these definitions are taken verbatim from Wikipedia. They are shown in quotes.

Table 1:
Recurring Statistical Issues in Manuscripts Submitted to Anesthesia & Analgesia, with Superscript Letters Indicating Words or Phrases Described in Table 2
Table 2:
Definitions of Some Words and Phrases Used in Table 1, with Locations Specified by Superscript Letters

Table 1 is not intended as a complete checklist. Anesthesia & Analgesia encourages authors to follow the CONSORT, STROBE, or PRISMA checklists, which cover basic topics. Table 1 includes topics not directly addressed in these checklists.

More than three-quarters of articles in general medical journals include relatively advanced topics such as those in Table 1.9,10Anesthesia & Analgesia has more mathematics and statistics than many clinical journals because of the nature of our research and practice. Performing the work in teams including analysts, statisticians, engineers, etc., helps assure that quantitative topics including those listed in Table 1 are addressed adequately.


Name: Franklin Dexter, MD, PhD.

Role: This author helped write the manuscript.

Conflicts: Franklin Dexter reported no conflicts of interest.

Attestation: Franklin Dexter approved the final manuscript.


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2. Austin PC, Grootendorst P, Norman SL, Anderson GM. Conditioning on the propensity score can result in biased estimation of common measures of treatment effect: a Monte Carlo study. Stat Med 2007;26:754–68
3. Strum DP, Sampson AR, May JH, Vargas LG. Surgeon and type of anesthesia predict variability in surgical procedure times. Anesthesiology 2000;92:1454–67
4. Dexter F, Epstein RH, Lee JD, Ledolter J. Automatic updating of times remaining in surgical cases using Bayesian analysis of historical case duration data and instant messaging updates from anesthesia providers. Anesth Analg 2009;108:929–40
5. Smallman B, Dexter F. Optimizing the arrival, waiting, and NPO times of children on the day of pediatric endoscopy procedures. Anesth Analg 2010;110:879–87
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8. Silber JH, Rosenbaum PR, Zhang X, Even-Shoshan O. Influence of patient and hospital characteristics on anesthesia time in medicare patients undergoing general and orthopedic surgery. Anesthesiology 2007;106:356–64
9. Strasak AM, Zaman Q, Marinell G, Pfeiffer KP, Ulmer H. The use of statistics in medical research: a comparison of The New England Journal of Medicine and Nature Medicine. Am Stat 2007;61:45–55
10. Windish DM, Huot SJ, Green ML. Medicine residents' understanding of the biostatistics and results in the medical literature. JAMA 2007;298:1010–22
© 2011 International Anesthesia Research Society