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. 2022 Nov 3;15:6055–6064. doi: 10.2147/JIR.S377644

Table 4.

Risk of Bias, Cohort Studies

1 2 3 4 5 6 7 8 9 10 11
Moreno-García et al5 Yes Yes Cannot tell Yes Yes Yes Cannot tell Yes Yes Yes Yes
Richards et al3 Yes Yes Yes Yes Yes Yes Cannot tell Yes Yes Yes Yes
Basnet et al12 Yes Yes Yes Yes Cannot tell Yes Cannot tell Cannot tell Yes Yes Yes
Vanhomwegen et al1 Yes Yes Yes Yes Yes Yes Cannot tell Yes Yes Yes No
Ming et al7 Yes Yes Yes Yes No Yes Cannot tell Yes Yes Yes No
Heesom et al21 Yes Yes Yes Cannot tell No Yes Cannot tell Yes Yes Yes Yes
Waris et al14 Yes Yes Yes Yes Cannot tell No Cannot tell Cannot tell Yes Yes Yes
Hughes et al15 Yes Yes Yes Cannot tell Yes Yes Cannot tell Cannot tell Yes Yes Yes
Pink et al8 Yes Yes Yes No Yes Yes Cannot tell Yes Yes Yes Yes
Peters et al16 Yes Yes Yes Cannot tell Yes Yes Cannot tell Yes Yes Cannot tell Yes
May et al4 Yes Yes Yes Cannot tell Cannot tell No Cannot tell Cannot tell Cannot tell Cannot tell No
Heer et al17 Yes Yes Yes Yes Yes Yes Cannot tell Yes Yes Yes No
Tang et al19 Yes Yes Cannot tell Yes Yes Yes Cannot tell Yes Yes Yes Yes
Garrido et al20 Yes Yes Yes Yes Yes Yes Cannot tell Yes Yes Yes Yes
Roy et al18 Yes Yes Cannot tell Yes Yes No Cannot tell Yes Yes Yes Yes
Notes:
  1. Did the study address a clearly focused issue?
  2. Was the cohort recruited in an acceptable way?
  3. Was the exposure accurately measured to minimize bias?
  4. Was the outcome accurately measured to minimize bias?
  5. Have the authors identified all important confounding factors?
  6. Have they taken account of the confounding factors in the design and/or analysis?
  7. Was the follow up of subjects complete enough?
  8. Was the follow up of subjects long enough?
  9. Do you believe the results?
  10. Can the results be applied to the local population?
  11. Do the results of this study fit with other available evidence?