For evaluations of diagnostic technologies (including prognostic and predictive tests and models), there may be some direct benefits from the knowledge gained and some direct harm from the testing. But most of the outcomes typically come after testing because of treatment or preventive measures being started, modified or stopped. Tests can sometimes be evaluated using clinical trials, but this is unusual. If direct data on the impact of a diagnostic technology on final outcomes is not available, it may be necessary to combine evidence from different sources. A linked evidence modelling approach should be used, which links data from different studies together to estimate impact. The links used, such as between test results, decisions about care or treatment based on this result and final outcomes should be specified and justified, for example with relevant data or justification of assumptions.