Clinical research II. Studying the process (the diagnosis test)

Main Article Content

Juan O Talavera
Niels H. Wacher-Rodarte
Rodolfo Rivas-Ruiz

Keywords

Research, Research design, Diagnostic techniques and procedures

Abstract

A diagnosis test is carried out to establish the presence of health or illness. In the latter it could grade the severity. Due to its importance in clinical decisions, the diagnosis test is evaluated by mathematical strategies. We estimate the sensitivity and specificity once we know the existence or not of the disease, but we act in the reverse direction; with the presence «X» test positive or negative we estimate the presence of the disease, therefore, we use the positive and negative predictive values. Mathematical strategy allow us to quantify the observation, but it requires judgment to determine the quality making use of a minimum of features: a) selection under the same criteria for cases and controls; b) the inclusion of the full spectrum of disease severity (from mild to the most serious, ensuring that all levels have an enough number of subjects); c) the interpretation of both, the gold standard and the new tool of diagnosis, it must be blind and conducted by experts; d) the interpretation of results should show us what is their application in everyday clinical practice; e) the reproducibility must be checked. Do not forget that usually, we treat only one patient at once, what enforce us to have full knowledge of the performance of the diagnostic test, and to consider all clinical aspects for its proper implementation.

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References

Altman DG, Bland JM. Diagnostic tests 1: sensitivity and specificity. BMJ 1994;308:1552.

 

Altman DG, Bland JM. Diagnostic tests 2: predictive values. BMJ 1994;309: 102.

 

Fagan TJ. Nomogram for Bayes’s theorem. N Engl J Med 1975;293:257.

 

Feinstein AR. Clinical epidemiology. The architecture of clinical research. Philadelphia: W. B. Saunders Company; 1985.

 

Grund B, Sabin C. Analysis of biomarker data: logs, odds ratios, and receiver operating characteristic curves. Curr Opin HIV AIDS 2010;5(6):473-479.

 

Jaeschke R, Guyatt G, Lijmer J. Diagnostic tests. En: Guyatt G, Rennie D, editors. Users’ guides to the medical literature. Chicago: AMA Press; 2002: p. 121-140.

 

Sackett DL, Straus S, Richardson WS, Rosenberg W, Haynes RB. Evidence-based medicine. How to practice and teach EBM. Second edition. Edinburgh: Churchill Living-stone; 2000. p. 67-93.

 

Sackett DL, Haynes RB. The architecture of diagnostic research. BMJ 2002:324;7336-56.

 

Sackett DL, Haynes RB, Guyatt GH, Tugwell P. Clinical epidemiology. A basic science for clinical medicine. Third edition. US: Little Brown; 2009.

 

Soreide K, Korner H, Soreide JA. Diagnostic accuracy and receiver-operating characteristics curve analysis in surgical research and decision making. Ann Surg 2011; 253(1):27-34.

 

Tripepi G, Jager KJ, Dekker FW, Zoccali C. Diagnostic methods 2: receiver operating characteristic (ROC) curves. Kidney Int 2009;76(3):252-256.