【正文】 IPD MA of randomised trials of postoperative radiotherapy (PORT) in nonsmall cell lung cancer ? Trial ID (k=11) ? Patient ID (n=2343) ? Treatment arm ? Oute is censored time to overall survival (death from any cause) ? Time to event (from randomisation) ? Event type (death or censorship) ? Certain covariate measurements also available, not necessarily for all trials or patients ? Disease stage (factor, but treat as continuous) ? (+ others) ipdmetan syntax ipdmetan, study(trialid) eform : stcox arm, strata(sex) ipdmetan options after ma, before colon estimation_mand and options after colon Uses “prefix” mand syntax: ipdmetan [exp_list], study(study_ID) [ ipd_options ad(aggregate_data_options) forestplot(forest_plot_options)] : estimation_mand ... Example: default is to pool coeffs from first dep. var. (excluding baseline factor levels) Trials included: 11 Patients included: 2342 Metaanalysis pooling of main (treatment) effect estimate arm using Fixedeffects trial reference | number | Effect [95% Conf. Interval] % Weight + belgium | EORTC 08861 | LILLE | ... ... ... ... ... + Overall effect | Test of overall effect = 1: z = p = Heterogeneity Measures | value df pvalue + Cochrane Q | 10 I178。 weights Extra data columns “Stacking” of forest plots ? Imagine: ? dataset on previous slide is saved as ? we want IPD boxes to be red, and AD boxes to be green ? We proceed as follows: ? Run forestplot with two using(...) options, one for each part of the plot, with the same filename ? (Alternatively: run ipdmetan twice and save under different filenames) ? Specify our desired plot_options as suboptions to using() forestplot, using( if _by==1, boxopt(mcolor(red))) using( if _by==2, boxopt(mcolor(green))) lcols(evrate) rcols(u_1_1_ V_1_1_) nooverall nostats nowt ( I s q u a r e d = 0 . 0 %, p = 0 . 9 6 4 )S u b t o t a lG E T C B 0 5 C B 8 6L I L L EE O R T C 0 8 8 6 1b e l g i u mA g g r e g a t e( I s q u a r e d = 0 . 0 %, p = 0 . 7 1 0 )S u b t o t a lK O R E AI T A L YG E T C B 0 4 C B 8 6S L O V E N I AMR C L U 1 1C A MSL C S G 7 7 3I P Dr e f e r e n c e n u mb e rt r i a l0 . 5 00 . 6 40 . 4 30 . 8 30 . 6 90 . 8 10 . 5 10 . 6 80 . 8 50 . 7 80 . 5 80 . 7 2r a t eE v e n t3 . 2 43 . 0 6 4 . 5 04 . 9 5 2 . 5 6 2 . 4 81 . 0 74 . 7 7o E ( o )2 2 9 . 62 2 . 41 3 . 23 1 . 61 5 . 65 9 . 44 4 . 94 1 . 0V ( o )1 4. 2 5Summary and conclusion ? IPD is increasingly used, and its advantages widely accepted ? Large numbers of MA scientists use twostage models for analysing IPD ? Currently only AD MA (. metan) and onestage IPD (. xtmixed) mands exist in Stata ? ipdmetan is a universal mand for twostage IPD MA ? forestplot is a flexible forest plot mand ? does not carry out analysis itself, thus not restricted by it ? may be useful outside the MA context (. presenting trial subgroups) Further information ? Other related programs (all call forestplot by default): ? admetan: calls ipdmetan to analyse AD (direct alternative to metan) ? ipdover: fit model within series of subgroups ? petometan: perform metaanalysis of timetoeven