ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026
Letter to the editor: "Chatbots for breast cancer education: a systematic review and meta-analysis".
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
purposeThis correspondence serves to critically evaluate the meta-analysis by Lin et al. regarding chatbot-led breast cancer education, focusing on specific methodological weaknesses that may undermine its core findings.
methodsWe performed a rigorous appraisal of the original study's methodology, specifically scrutinizing their data synthesis process, the inclusion criteria for trials, and the conceptual clarity of the outcome measures used to gauge chatbot performance.
resultsOur analysis revealed three primary concerns: (1) the reliance on a mere six studies raises concerns about the generalizability of the results; (2) a major unit-of-analysis error occurred where multiple intervention arms from a single study were incorrectly "double-counted" as independent data points; and (3) there was a clear conceptual conflation between "usability" and "educational efficacy, leading to ambiguous interpretations of the chatbots' actual impact.
conclusionGiven these identified flaws, the evidence presented in the meta-analysis remains inconclusive and should be approached with skepticism. To advance the field, we urge the development of larger-scale randomized controlled trials and the consistent application of validated instruments, such as the System Usability Scale (SUS), to ensure more reliable data in digital health research.
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