Populations
Methods
Results
100

Patients from which clinical trial were included in this study?

ARCTIC Trial

100
Which of the 5 missing data methods excluded drop-outs?

Complete case analysis

100

What proportion of real-world (i.e., non-trial) patients did not have complete follow-up data for the main outcome?

61.0%

200

Trial and real-world patients in this study came from which country?

Norway

200

How was "time-zero" defined for this study?

Time of initiating anti-rheumatic drug therapy

200

At which follow-up visit (i.e., month) did the authors observe the highest drop-out rate in the observational study?

Month 24

300

What was the follow-up period in the ARCTIC trial?

2010-2013

300

Name 1 of the 5 missing data methods that used censoring (set as drop-out) to account for intermittent missing visits.

(1) String censoring + IPCW

(2) MI + censoring + IPCW

300

Which of the 5 missing data approaches yielded the highest odds of achieving disease remission at month 6 and 12 of the follow-up period?

Complete case analysis (CC)

400

What type of study design was used to create the real-world patient cohort (i.e., non-trial patients)? Be specific!

Prospective observational study

400

In the strict censoring + IPCW approach, the IPCW methods assigns weights to individuals with complete follow-up data corresponding to the inverse of what?

Inverse of their estimated probability of having complete data.

400

Which of the 5 missing data methods gave the most conservative estimate for achievement of remission at 6, 12, and 24 months?

MI for all missing data

500

How many total patients were included between the trial and real-world studies?

230 (trial) + 429 (real-world)=659 patients!

500

When do intermittent missing visits arise in the data?

When patients do not meet for one or more visits, but reenter the study at a later time point.

500

Describe the missing data pattern and main reasons for missing data for both the trial and observational study populations. 

Obs study: Non-monotone missing data pattern; 

cause = intermittent missing visits & missing outcome data

Trial: Monotone missing data pattern; 

cause = drop-out

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