The occurrence of presupposition shifts is a considerable challenge to accurate cross-linguistic translation andcareful trigger provision is a crucial strategy for the management of semantic consistency with varying cultural backgroundsand a moderate to high risk of interpretive distortion. The aim of this study was to provide the first comparative analysisof a regression-based approach to an Analytical Hierarchy Process over a multi-phase evaluation period. A structuredmeta-analysis evaluated pooled outcomes and subgroup analyses tested for effective variable contributions. A systematicsearch of linguistic databases, translation corpora, multilingual datasets, conference proceedings, academic journals,grey literature, and expert reports identified 67 studies, of which 24 randomized controlled trials were eligible and includedin the final analysis. Based on a comprehensive multilingual dataset, six different presupposition types are consideredby category and the results compared to benchmark evaluations from similar cross-linguistic studies according to effectsize, statistical significance, and consistency with the target framework. The results showed that correlation values ofsemantic triggers increased by 15% and 22%, respectively, and the residual error value of model estimates decreased by11%. Our aggregated data material, however, distinguishes a mechanism that we have coined as the narrative retentionbias. In conclusion, using a hybrid AHP-regression method resulted in enhanced alignment within the dataset and higherpredictive accuracy values. Future studies should use longitudinal designs to explore cross-context applications to supporttrigger preservation as an adjunct to translation accuracy. Given some assumptions about the linguistic models we used,the analytical process adopted to produce the findings seems to have marginal impact on generalizability and validity.