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Table 1 Agreement on important characteristics, at re-extraction of a 10% random sample of included studies

From: Mediation analysis with a time-to-event outcome: a review of use and reporting in healthcare research

Characteristic

Unweighted Cohen’s Kappa (95% CI)

Funding source

0.75 (0.5–1)

Study Design

0.65 (0.02–1)

Type of analysis (confirmatory/hypothesis-based versus exploratory)

0.14 (0–0.5)

Mediation analysis is primary aim of study

0.52 (0.12–0.92)

Causal diagram included

1 (1–1)

Sample size

0.75 (0.55–0.96)

Power/sample size calculation included

0 (unable to estimate, too infrequent)

Method of mediation analysis

0.84 (0.83–1)

Type of time-to-event model

0.91 (0.75–1)

Competing risks considered

0 (unable to estimate, too infrequent)

If clustering of data, was this addressed in the analysis?

0.61 (0.15–1.0)

Outcome frequency > =10%

0.79 (0.54–1)

Rare outcome limitation for Cox model mentioned

Unable to estimate, all false (100% agreement)

Temporal separation clearly defined

0.76 (0.47–1)

No unmeasured confounding of exposure/outcome

0.82 (0.49–1)

No unmeasured confounding of mediator/outcome

0.85 (0.57–1)

No unmeasured confounding of exposure/mediator

0.6 (0.13–1)

No exposure-dependent confounding of mediator-outcome

0.64 (0–1)

Accurate measurement of mediator

0.65 (0.32–0.99)

Interaction between exposure and mediator considered/tested

0.6 (0.19–1)

Was a method used to address confounding of exposure or mediator?

N/A (100% used regression for both exposure and mediator, 100% agreement)

Sensitivity analysis relating to mediation analysis

0.44 (0.05–0.75)

Measures reported-indirect effect

0.76 (0.46–1)

Measures reported- proportion mediated

0.86 (0.61–1)

Precision estimate for indirect effect

1.0 (N/A)

Precision estimate for proportion mediated

0.77 (0.34–1)