Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2007 May;120(5):461.e1-9.
doi: 10.1016/j.amjmed.2006.08.032.

Agreement of decision analyses and subsequent clinical studies in infectious diseases

Affiliations

Agreement of decision analyses and subsequent clinical studies in infectious diseases

Joshua N Bress et al. Am J Med. 2007 May.

Abstract

Purpose: Decision analysis techniques can compare management strategies when there are insufficient data from clinical studies to guide decision making. We compared the outcomes of decision analyses and subsequent clinical studies in the infectious disease literature to assess the validity of the conclusions of the decision analyses.

Methods: A search strategy to identify decision analyses in infectious disease topics published from 1990 to 2005 was developed and performed using PubMed. Abstracts of all identified articles were reviewed, and infectious disease-related decision analyses were retained. Subsequent clinical trials and observational studies that corresponded to these decision analyses were identified using prespecified search strategies. Clinical studies were considered a match for the decision analysis if they assessed the same patient population, intervention, and outcome. Agreement or disagreement between the conclusions of the decision analysis and clinical study were determined by author review.

Results: The initial PubMed search yielded 318 references. Forty decision analyses pertaining to 29 infectious disease topics were identified. Of the 40, 16 (40%) from 13 infectious disease topics had matching clinical studies. In 12 of 16 (75%), conclusions of at least 1 clinical study agreed with those of the decision analysis. Three of the 4 decision analyses in which conclusions disagreed were from the same topic (management of febrile children).

Conclusions: There was substantial agreement between the conclusions of decision analyses and clinical studies in infectious diseases, supporting the validity of decision analysis and its utility in guiding management decisions.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Sample decision tree.
Figure 2
Figure 2
Flow chart of search results and articles reviewed for the study.

Similar articles

Cited by

References

    1. Inadomi JM. Decision analysis and economic modelling: a primer. Eur J Gastroenterol Hepatol. 2004;16(6):535–42. - PubMed
    1. Pauker SG, Kassirer JP. Decision analysis. N Engl J Med. 1987;316(5):250–8. - PubMed
    1. Richardson WS, Detsky AS. Users' guides to the medical literature. VII. How to use a clinical decision analysis. B. What are the results and will they help me in caring for my patients? Evidence Based Medicine Working Group. JAMA. 1995;273(20):1610–3. - PubMed
    1. Richardson WS, Detsky AS. Users' guides to the medical literature. VII. How to use a clinical decision analysis. A. Are the results of the study valid? Evidence-Based Medicine Working Group. JAMA. 1995;273(16):1292–5. - PubMed
    1. Fagon JY, Chastre J, Wolff M, et al. Invasive and noninvasive strategies for management of suspected ventilator-associated pneumonia. A randomized trial. Ann Intern Med. 2000;132(8):621–30. - PubMed

Publication types