Literature DB >> 6671182

Interpretation of diagnostic data: 5. How to do it with simple maths.

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Abstract

The use of simple maths with the likelihood ratio strategy fits in nicely with our clinical views. By making the most out of the entire range of diagnostic test results (i.e., several levels, each with its own likelihood ratio, rather than a single cut-off point and a single ratio) and by permitting us to keep track of the likelihood that a patient has the target disorder at each point along the diagnostic sequence, this strategy allows us to place patients at an extremely high or an extremely low likelihood of disease. Thus, the numbers of patients with ultimately false-positive results (who suffer the slings of labelling and the arrows of needless therapy) and of those with ultimately false-negative results (who therefore miss their chance for diagnosis and, possibly, efficacious therapy) will be dramatically reduced. The following guidelines will be useful in interpreting signs, symptoms and laboratory tests with the likelihood ratio strategy: Seek out, and demand from the clinical or laboratory experts who ought to know, the likelihood ratios for key symptoms and signs, and several levels (rather than just the positive and negative results) of diagnostic test results. Identify, when feasible, the logical sequence of diagnostic tests. Estimate the pretest probability of disease for the patient, and, using either the nomogram or the conversion formulas, apply the likelihood ratio that corresponds to the first diagnostic test result. While remembering that the resulting post-test probability or odds from the first test becomes the pretest probability or odds for the next diagnostic test, repeat the process for all the pertinent symptoms, signs and laboratory studies that pertain to the target disorder. However, these combinations may not be independent, and convergent diagnostic tests, if treated as independent, will combine to overestimate the final post-test probability of disease. You are now far more sophisticated in interpreting diagnostic tests than most of your teachers. In the last part of our series we will show you some rather complex strategies that combine diagnosis and therapy, quantify our as yet nonquantified ideas about use, and require the use of at least a hand calculator.

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Year:  1983        PMID: 6671182      PMCID: PMC1875848     

Source DB:  PubMed          Journal:  Can Med Assoc J        ISSN: 0008-4409            Impact factor:   8.262


  10 in total

1.  Letter: Nomogram for Bayes theorem.

Authors:  T J Fagan
Journal:  N Engl J Med       Date:  1975-07-31       Impact factor: 91.245

2.  Identification of site of urinary-tract infections by antibody-coated bacteria assay.

Authors:  K A Mundt; B F Polk
Journal:  Lancet       Date:  1979-12-01       Impact factor: 79.321

3.  Diagnostic value of serum-creatine-kinase in coronary-care unit.

Authors:  A F Smith
Journal:  Lancet       Date:  1967-07-22       Impact factor: 79.321

4.  Analysis of probability as an aid in the clinical diagnosis of coronary-artery disease.

Authors:  G A Diamond; J S Forrester
Journal:  N Engl J Med       Date:  1979-06-14       Impact factor: 91.245

5.  Value of clinical signs in diagnosis of deep venous thrombosis.

Authors:  J Singer
Journal:  Lancet       Date:  1980-05-31       Impact factor: 79.321

6.  Decreasing reliability of acid-fast smear techniques for detection of tuberculosis.

Authors:  J C Boyd; J J Marr
Journal:  Ann Intern Med       Date:  1975-04       Impact factor: 25.391

7.  Pathology and probabilities: a new approach to interpreting and reporting biopsies.

Authors:  W B Schwartz; H J Wolfe; S G Pauker
Journal:  N Engl J Med       Date:  1981-10-15       Impact factor: 91.245

8.  Use of the B27 test in the diagnosis of ankylosing spondylitis: a statistical evaluation.

Authors:  B R Hawkins; R L Dawkins; F T Christiansen; P J Zilko
Journal:  Arthritis Rheum       Date:  1981-05

9.  Comparison of electrocardiographic and left ventricular functional changes during exercise.

Authors:  G E Newman; S K Rerych; M T Upton; D C Sabiston; R H Jones
Journal:  Circulation       Date:  1980-12       Impact factor: 29.690

10.  A prospective evaluation of computed tomography and ultrasound of the pancreas.

Authors:  S J Hessel; S S Siegelman; B J McNeil; R Sanders; D F Adams; P O Alderson; H J Finberg; H L Abrams
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

  10 in total
  10 in total

1.  Rapid exclusion or confirmation of heparin-induced thrombocytopenia: a single-center experience with 1,291 patients.

Authors:  Vanessa Nellen; Irmela Sulzer; Gabriela Barizzi; Bernhard Lämmle; Lorenzo Alberio
Journal:  Haematologica       Date:  2011-09-20       Impact factor: 9.941

2.  Predicting cardiac complications in patients undergoing non-cardiac surgery.

Authors:  A S Detsky; H B Abrams; J R McLaughlin; D J Drucker; Z Sasson; N Johnston; J G Scott; N Forbath; J R Hilliard
Journal:  J Gen Intern Med       Date:  1986 Jul-Aug       Impact factor: 5.128

3.  The value of serum iron studies as a test for iron-deficiency anemia in a county hospital.

Authors:  B M Psaty; W M Tierney; D K Martin; C J McDonald
Journal:  J Gen Intern Med       Date:  1987 May-Jun       Impact factor: 5.128

4.  Adverse cardiac events after surgery: assessing risk in a veteran population.

Authors:  R Kumar; W P McKinney; G Raj; G R Heudebert; H J Heller; M Koetting; D D McIntire
Journal:  J Gen Intern Med       Date:  2001-08       Impact factor: 5.128

5.  The relation of conjunctival pallor to the presence of anemia.

Authors:  T N Sheth; N K Choudhry; M Bowes; A S Detsky
Journal:  J Gen Intern Med       Date:  1997-02       Impact factor: 5.128

Review 6.  Laboratory diagnosis of iron-deficiency anemia: an overview.

Authors:  G H Guyatt; A D Oxman; M Ali; A Willan; W McIlroy; C Patterson
Journal:  J Gen Intern Med       Date:  1992 Mar-Apr       Impact factor: 5.128

7.  The Center for Epidemiologic Studies Depression Scale is an adequate screening instrument for depression and anxiety disorder in adults with congential heart disease.

Authors:  Ju Ryoung Moon; June Huh; Jinyoung Song; I-Seok Kang; Seung Woo Park; Sung-A Chang; Ji-Hyuk Yang; Tae-Gook Jun
Journal:  Health Qual Life Outcomes       Date:  2017-09-05       Impact factor: 3.186

8.  Validation of the International Classification of Disease 10th Revision Codes for Kidney Transplant Rejection and Failure.

Authors:  David Massicotte-Azarniouch; Manish M Sood; Dean A Fergusson; Greg A Knoll
Journal:  Can J Kidney Health Dis       Date:  2020-12-16

Review 9.  Screening for Depression in the General Population with the Center for Epidemiologic Studies Depression (CES-D): A Systematic Review with Meta-Analysis.

Authors:  Gemma Vilagut; Carlos G Forero; Gabriela Barbaglia; Jordi Alonso
Journal:  PLoS One       Date:  2016-05-16       Impact factor: 3.240

10.  The use of pre-test and post-test probability values as criteria before selecting patients to undergo coronary angiography in patients who have ischemic findings on myocardial perfusion scintigraphy.

Authors:  Nazlı Pınar Karahan Şen; Recep Bekiş; Ali Ceylan; Erkan Derebek
Journal:  Anatol J Cardiol       Date:  2015-11-30       Impact factor: 1.596

  10 in total

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