Table 2.

Summary of the available literature about algorithms for identification of commonly studied CNCP

Classic/Commonly Studied CNCP	Multiple Different Algorithms Were Tested	Quality of Reference Standards Used	Key Measures of Diagnostic Accuracy Were Calculated for Tested Algorithms	Diversity of Administrative Databases in Which Algorithms Were Tested	At Least 1 Algorithm Showed ≥60 Combination of SEN and SP	Same Algorithm Showed ≥60% Combination of SEN and SP in >1 Database	At Least 1 Algorithm Showed ≥80% Combination of SEN and SP
Back disorders in general	–	Pain-specific patient registry	Yes	–	Yes		No
	N = 2			N = 1
Complex regional pain syndrome	–	Pain-specific patient registry	Yes	–	No		No
	N = 4			N = 1
Fibromyalgia	++	Pain-specific patient registry and medical chart review	Yes (except for 2 algorithms)	+	Yes	No	Yes
	N = 34			N = 3
Headache/migraine studied together	+	Patient self-report	Yes	–	No		No
	N = 12			N = 1
Low back pain	–	Pain-specific patient registry	Yes	–	Yes		No
	N = 3			N = 1
Migraine	++	Patient self-report + medical chart review	Yes	±	Yes	No	No
	N = 38			N = 2
Neck/back problems studied together	–	Pain-specific patient registry	Yes	–	Yes		No
	N = 2			N = 1
Painful diabetic peripheral neuropathy	–	Medical chart review	Yes	–	No		No
	N = 2			N = 1
Painful neuropathic disorders in general	–	Pain-specific patient registry	Yes	–	No		No
	N = 2			N = 1
Other important CNCP conditions (e.g., chronic postsurgical pain, chronic post-traumatic pain, phantom limb pain)

In the table, shaded cells = not applicable.

SEN = sensitivity; SP = specificity.