This response to the letter expands the discussion on the evolving demands of peer review for systematic reviews and meta-analyses. We emphasize that the main concern surrounding artificial intelligence is not its limited and disclosed use for language support, but undisclosed application and insufficient human verification, which may compromise citation accuracy, interpretation, and overall trustworthiness. We also argue that similarity reports should be interpreted contextually, particularly in evidence syntheses where standardized methodological language is unavoidable, and that low similarity does not necessarily exclude manuscript manipulation. Finally, we highlight reference verification as a central research-integrity challenge that should not rest on peer reviewers alone. Preserving the credibility of evidence synthesis requires shared responsibility across authors, reviewers, editors, and publishers.
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Emir Begagić
University of Zenica
Faruk Skenderi
Sarajevo School of Science and Technology
Semir Vranić
Qatar University
Biomolecules and Biomedicine
Qatar University
University of Zenica
Verlab (Bosnia and Herzegovina)
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Begagić et al. (Mon,) studied this question.
synapsesocial.com/papers/69e07c1e2f7e8953b7cbd840 — DOI: https://doi.org/10.17305/bb.2026.14271