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Table 3 The revised QUADAS-2 tool for risk of bias assessment

From: Automation of literature screening using machine learning in medical evidence synthesis: a diagnostic test accuracy systematic review protocol

Domains

Signal questions

Answers

“Patient” (literature) Selection

Risk of bias

 

Was a consecutive or random sample of literatures enrolled

Yes/no/unclear

Was a case-control design avoided

Yes/no/unclear

Did the study avoid inappropriate exclusions

Yes/no/unclear

Could the selection of literatures have introduced bias

Low/high/unclear risk

Concerns regarding applicability

 

Is there concern that the included literatures do not match the review question

Low/high/unclear risk

Index test (AI algorithms in literature screening)

Risk of bias

 

Were the index test results interpreted without knowledge of the results of the reference standard

Yes/no/unclear

If a threshold was used, was it pre-specified

Yes/no/unclear

Could the conduct or interpretation of the index test have introduced bias

Low/high/unclear risk

Concerns regarding applicability

 

Is there concern that the index test, its conduct, or interpretation differ from the review question

Low/high/unclear risk

Reference standard (results of screening by human investigators)

Risk of bias

 

Is the reference standard likely to correctly classify the target condition

Yes/no/unclear

Were the reference standard results interpreted without knowledge of the results of the index test

Yes/no/unclear

Could the reference standard, its conduct, or its interpretation have introduced bias

Low/high/unclear risk

Concerns regarding applicability

 

Is there concern that the target condition as defined by the reference standard does not match the review question

Low/high/unclear risk

Flow and timing

Risk of bias

 

Did all literatures receive a reference standard

Yes/no/unclear

Did literatures receive the same reference standard

Yes/no/unclear

Were all literatures included in the analysis

Yes/no/unclear

Could the literature flow have introduced bias

Low/high/unclear risk