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. 2018 Nov 21;13(11):e0207686. doi: 10.1371/journal.pone.0207686

Table 5. Clinical case analysis using prior risk assessment and Bayesian incorporation of clinical symptoms to determine posterior risk.

Case Sex Age Smoking status Age started Age stopped Smoking duration Smoking
intensity
(cigarettes/day)
Symptoms LR+ Calculated prior risk % PPV
Calculated on the basis of individual posterior risk %
PPV based on presenting symptoms in the published cohort[17]*
A M 68 Smoker 20 NA 48 10 cough +
fatigue
3.45 1.86 6.14%
Moderate risk
0.63%
Low risk
Case A represents a low risk patient based on symptoms alone and therefore would not require further investigation or referral. When we take into account prior risk defined by age, sex, smoking status and intensity, this patient is at greater risk then the moderate risk patient in Case B below and does require further investigation (chest X-ray).
B F 61 Never NA NA NA NA dyspnoea + haemoptysis 27.98 0.124 3.36%
Moderate risk
4.90%
Moderate risk
Case B represents a patient with moderate risk when considering symptoms alone. Here consideration of prior risk has little effect on the risk status.
C M 58 Ex 17 47 30 10 loss of
appetite + haemoptysis
449.74 0.2697 54.88%
High risk
45.28%
High risk
Case C represents a high risk patient based on symptoms and even with a negative chest X-ray this patient would require further investigation to exclude lung cancer[17], as 20% of all chest X-ray requests from primary care in confirmed lung cancer patients are negative[33, 34]. The current cut-off of urgent cancer referrals in the UK is PPV>3% so this patient would be considered at high risk and should be investigated further, regardless of the chest X-ray findings.

* from raw data provided by one of the referenced authors

Likelihood ratio = LR+ Positive predictive value = PPV