“…Data extracted included study and patient characteristics, selection criteria, length of follow-up, and outcome measurements ( Table 1 ). 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 We used 6 quality criteria based on the National Institutes of Health Quality Assessment Tool for Observational and Cohort Studies 53 to assess study design or features most likely to bias frequency estimates. Criteria comprised (1) prospective cohort (score range of 0-1, with 0 indicating no and 1 indicating yes), (2) representativeness (score range of 0-1, with 0 indicating sampling strategy unclear or nonconsecutive enrollees and 1 indicating patients were randomly selected or all eligible patients were included), (3) baseline severity of illness reported (score range of 0-1, with 0 indicating not reported and 1 indicating reported), (4) attrition (score range of 0-3, with 0 indicating not reported or attrition ≥30%, 1 indicating attrition of 20%-29%, 2 indicating attrition of 10%-19%, and 3 indicating attrition <10%), (5) repeated outcome measureme...…”