diagnosis articles much thanks to: rob hayward & tanya voth, cche

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Diagnosis Articles Much Thanks to : Rob Hayward & Tanya Voth, CCHE

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Page 1: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Page 2: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Outline• Philosophy of Diagnosis:

– Probability of disease– Test and treatment thresholds

• ANALYZING STUDIES• Validity:

– Gold (reference) standard• Numbers:

– Sensitivity, Specificity, Likelihood ratio• Applicability:

– Observer agreement, Kappa

Page 3: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Philosophy of Diagnosis?

• Pre-test Probability– The probability that a disease is present

before doing a test. – A clinical best guess

• Post-test Probability– The probability that a disease is present after

doing a test – a combination of clinical best guess & test

result.

Page 4: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Philosophy of Diagnosis?

•When Tests are good:

Target Negative(Normal) Target Positive

(Severely ill)

Test results

Very Normal Very AbnormalAB

Page 5: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Philosophy of Diagnosis?

•When Tests aren’t so good:

Test result (LR = 4)

Target Positive

Target Negative

4

1

Very Normal Very Abnormal

Test result (LR = 1)

Page 6: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

EBM TP: Diagnostic Tests• How good are:

– Phalen’s Test, – Shifting Dullness, – Patient Report of Fever, – Interstitial Edema on C-Xray, – Ottawa Ankle Rules– Canadian C-Spine Rules vs NEXUS.

Page 7: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Users Guides: Diagnosis

Page 8: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Are the results valid?

•Did clinicians face diagnostic uncertainty?

– Were subjects drawn from a common group in which it is not known whether the condition of interest is present or absent?

– E.g First CEA studies used known bowel cancer patients1

1. Proc Natl Acad Sci USA 1969; 64: 161-7

Page 9: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Are the Results Valid

Was an acceptable gold standard used?• Imagine a study investigating WBC for Appendicitis

that use U/S for the gold standard?

Page 10: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Are the results valid?

• The test being studied and the gold standard should be completely separate.

Studied

Page 11: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Are the results valid?

• The test being studied and the gold standard should be completely separate?

1) Were the test and gold standard independent?• A study looking at Serum Amylase for Pancreatitis that

used a gold standard made of a combination of tests including serum amylase.1

2) Were the test & gold standard results assessed blindly?

• Imagine a study investigating Ottawa Ankle Rules, in which the radiologist was told the results of the Ankle rules before reading the films.

1. NEJM 1997; 336: 1788-93

Page 12: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Are the results valid?

• Did test being studied effect if gold standard was done?– Was a different gold standard applied to subjects

testing negative?

– E.g. When evaluating VQ scans for PE, those with normal scans often did not go on the gold standard (pulmonary angiography).1

– In these cases (frequent) we need to be assured of a reasonable back-up gold standard.

1 JAMA 1990; 263:2753-59.

Page 13: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Users Guides: Diagnosis

Page 14: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

EBM Tool for Diagnostic Tests Should:

• Tell if a symptom, sign or test is useful

• Useful in which way:– Screening (Ruling out)– Making a Diagnosis (Ruling in)

• Help us determine the probability of a disease

Page 15: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

EBM Diagnostic test Standards• Sensitivity• SNOUT

– Sensitive tests if Negative rule OUT disease.

• Specificity• SPIN

– Specific tests if Positive rule IN disease

• Helpful to sort out if a test is good for Screening (Ruling out) or Diagnosis (Ruling in)

Page 16: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

LR Advantage

• LR’s – Take into account all elements (false

positives/negatives and true positives/negatives)– Have Criteria for Usefulness of each Test.– Can be used over a Range of Test Results (e.g.

WBC)– Can calculate the actual Likelihood of a disease

Page 17: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Key Concept

• Likelihood Ratio: Determine the usefulness of tests.

• (Positive) Likelihood Ratios >1 : • ↑ Likelihood Ratio (1 - ∞) = ↑ likelihood of disease• Make the diagnosis (Rule in disease)

• (Negative) Likelihood Ratio <1: • ↓ Likelihood Ratio (1 – 0) = ↓ likelihood of disease• Exclude the diagnosis (Rule out disease)

Page 18: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

What does the LR mean?(Criteria for Usefulness)

LR Increase probability Decrease probability

Excellent > 10 < 0.1

Good 5-10 0.2-0.1

Moderate/Small 2-5 0.2-0.5

Poor 1-2 0.5 - 1

Page 19: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Nomogram

LR calculator

How do I use the LR?

Page 20: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

What are the results?

• What range of likelihood ratios were associated with the range of possible test results?– Ferritin to detect Fe deficiency (GS = bone marrow)

SerumFerritin

Iron Deficient Patients Not Iron Deficient

Positive (< 45) 70 15

Negative (>45) 15 135

Sensitivity = 82% Specificity = 90%

LR + = 8.2

LR - = 0.2

Page 21: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

What are the results?

• What range of likelihood ratios were associated with the range of possible test results?– Ferritin to detect Fe deficiency (GS = bone marrow)

SerumFerritin

Iron Deficient Patients Not Iron Deficient

< 18 47 2

19 – 45 23 13

46 – 100 7 27

> 100 8 108

Total patients 85 150

Page 22: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

What are the results?

• What range of likelihood ratios were associated with the range of possible test results?– Ferritin to detect Fe deficiency (GS = bone marrow)

SerumFerritin

Iron Deficient Patients L1 Not IronDeficient

L2 LR = L1/L2

< 18 47 47/85=0.553

2 2/150=0.013

42.5

19 – 45 23 23/85=0.271

13 13/150=0.086

3.15

46 – 100 7 7/85=0.082

27 27/150=0.180

0.46

> 100 8 8/85=0.094

108 108/150=0.720

0.13

Total patients 85 150

Page 23: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Applying LR: Examples

• A 30 y.o. woman complaining of fatigue and vague MDD Sx (Normal periods).– Guess 20% anemia before test.– Ferritin = 12, (LR = 42.5)

• Anemia = 90%

• Same woman, – Ferritin =108, (LR = 0.13)

• Anemia = 2%

Page 24: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

LR Examples

• Phalen Test (Carpal Tunnel):

• LR= 1.3 • Shifting Dullness

(Ascites): • LR= 2.3• Patient Reporting Fever

(>38 Temp): • LR = 4.9

• Interstitial Edema on Chest X-Ray (CHF):

• LR= 12.7• Ottawa Ankle Rules

(Ankle #): • -ve LR = 0.08• Canadian C-Spine Rules

(C-spine #): • -ve LR= 0.013. (vs

NEXUS –ve LR = 0.25)

JAMA 2000; 283: 3110-7. J Gen Intern Med 1988: 423-8. Ann Emerg Med 1996: 27: 693-5. Am J Med 2004; 116: 363-8. BMJ 2003; 326: 417. NEJM 2003; 349: 2510-8.

Page 25: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Math Diagnostic Tests: Summary

• Likelihood Ratios are the best we have

• Tell if a symptom, sign or test is useful

• Help us determine the probability of a diagnosis

Page 26: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Users Guides: Diagnosis

Page 27: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Apply to patient care?

• Is the test and its interpretation reproducible (Kappa)?

• Is the test result the same when reapplied by the same observer (intra-observer variability)?

• Do different observers agree about the test result (inter-observer variability)?

• Examples– Specialist doing JVP = 0.42, – Specialist assessing DM retinopathy from

photograph = 0.55– Interpreting mammogram = 0.67

Greenhalgh T. How to Read a Paper (The basics of evidence based medicine). 2001

Page 28: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Apply to patient care?

• Are the results applicable to the patient in my practice?-Are the patients in the study like mine.

Page 29: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Apply to patient care?

• Will the results change my management strategy?– Are the test LRs high or low enough to shift post-test

probability across a test or treatment threshold?

Page 30: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

Apply to patient care?

• Will patients be better off as a result of the test?– Will the anticipated changes do more good than

harm?– Effect of clinically insignificant disease

Page 31: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

• Key concepts:Reference Standard– You cannot decide if a test works unless you

have a “gold standard”.Likelihood Ratio– To determined the utility of a test, Find how

much a given result will shift the Likelihood of a Diagnosis.

Who cares?– Think about the “ignore” and “act” thresholds and

if the test moves you from uncertainty into either zone.

Summary

Page 32: Diagnosis Articles Much Thanks to: Rob Hayward & Tanya Voth, CCHE

The End Much Thanks to: Rob Hayward & Tanya Voth, CCHE