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The Duval and Tweedie's Trim and Fill method was used to impute 5 missing studies and estimate RR as 1.47 (1.47–1.47).
This method estimates the number and outcomes of missing studies, and adjusts the meta-analysis to incorporate the imputed missing data [ 16].
3) Upon first glance at Figure 1 source data 1, 2 and 3, it appears that there are missing studies and inaccuracies in the studies listed which you used to conduct their analyses.
51 If the results were suggestive of publication bias, an adjusted ES was calculated using Duval and Tweedie's 52 trim and fill method, which imputes ES of missing studies and recalculates the ES accordingly.
When indicated, we recalculated the combined estimate after imputation from the asymmetry of the funnel plot of the number of "missing" studies and their effect sizes and SEMs, a method known as "trim and fill" (21).
A description of this is included in the Methods (in the subsection "Analysis") and in the legends for Figures 2 and 3. 3) Upon first glance at Figure 1 source data 1, 2 and 3, it appears that there are missing studies and inaccuracies in the studies listed which you used to conduct their analyses.
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23 67 90 Despite efforts to identify all available studies, we cannot exclude the possibility of having missed studies and nor did we assess publication bias.
If we set the mean effect size of missing studies at.001 and define the threshold for a "trivial" effect size to be.01, then the Orwin Fail-Safe N for our database is 544 studies.
If publication bias was suspected, results are shown without imputation and with "missing" studies imputed with Duval and Tweedie's trim and fill method.
Furthermore, when looked for missing studies using the trim-and-fill random effects model, no studies needed to be imputed.
Adding the missing studies via the trim-and-fill method reduced 3-year OS (82.4%; 95% CI, 75.1 87.9) and posttransplant ORR (63%; 95% CI, 54 71).
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