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. 2021 Oct 20;26(1):13–39. doi: 10.1007/s00784-021-04192-0

Table 4.

Quality of direct, indirect, and network evidence for horizontal outcome

Outcomes Comparison Direct evidence Indirect evidence Network meta-analysis
Odds ratio (95% CI) Quality of evidence Odds ratio (95% CI) Quality of evidence Odds ratio (95% CI) Quality of evidence
Horizontal width change (HWch) Auto vs Con (2 vs 1) 1.47 (0.22, 2.71) Moderate 0.58 (− 0.81, 1.97) Moderate 0.88 (− 0.98, 2.75) Moderate
CM-NonCross vs Con (3 vs 1) 0.37 (0.14, 0.61) Low 1.46 (0.65, 2.27) Moderate  − 1.08 (− 1.93, − 0.24) Moderate
Resorb:Syn vs Con (5 vs 1) 0.08 (− 1.21, 1.39) Low  − 0.67 (− 2.53, 1.17) Moderate 0.76 (− 1.50, 3.03) Moderate
CM-NonCross vs Auto (3 vs 2) 0.01 (− 1.03, 1.05) Low  − 0.87 (− 2.42, 0.67) Moderate 0.88 (− 0.98, 2.75) Moderate
Resorb:Syn vs Auto (5 vs 2) - - - - - -
Resorb:Syn vs CM-NonCross (5 vs 3)  − 1.34 (− 2.92, 0.22) Moderate  − 0.58 (− 2.21, 1.04) Moderate -0.76(-3.03,1.50) Moderate

High quality (⊕ ⊕ ⊕)—we are very confident that the true effect lies close to that of the estimate of the effect. Moderate quality (⊕ ⊕  ⊕ O)—we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low quality (⊕ ⊕ OO)—our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low quality (⊕ OOO)—we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect