Publication Name	World Journal of Psychiatry
Manuscript ID	118177
Country	China

Category	Psychiatry
Manuscript Type	Letter to the Editor
Article Title	From prediction to intervention: Enhancing the clinical utility of family dysfunction models in breast cancer care
Manuscript Source	Invited Manuscript
All Author List	Yu Xiao, Yuan-Xin Guo, Xiao-Ru Shen, Yi-Wen Yuan and Zhong-Rui Ma
Funding Agency and Grant Number
Corresponding Author
Key Words	Anxiety; Breast cancer; Communication dysfunction; Depression; Family dysfunction; Intervention; Psychological morbidity; Risk prediction model
Core Tip	This letter expands on Li et al’s study linking family dysfunction, particularly communication deficits, to psychological distress in breast cancer. To transform their predictive model into clinically actionable tools, we propose a translational framework centered on three pillars: (1) Precision in prediction through cross-cultural validation and breaking down “communication dysfunction“ into specific patterns like hostility and disengagement; (2) Clarification of causality with longitudinal studies to guide intervention types and timing; and (3) Implementation by creating calibrated risk-assessment protocols with differentiated intervention pathways. This approach aims to move from identifying “who is at risk“ to understanding “why“ and determining “what to do“ for personalized care.
Citation	Xiao Y, Guo YX, Shen XR, Yuan YW, Ma ZR. From prediction to intervention: Enhancing the clinical utility of family dysfunction models in breast cancer care. World J Psychiatry 2026; In press

Received	2025-12-26 01:41
Peer-Review Started	2025-12-26 01:41
First Decision by Editorial Office Director	2026-01-21 06:58
Return for Revision	2026-01-21 06:58
Revised	2026-02-03 08:21
Publication Fee Transferred
Second Decision by Editor	2026-03-06 02:36
Second Decision by Editor-in-Chief
Final Decision by Editorial Office Director	2026-03-06 08:49
Articles in Press	2026-03-06 08:49
Edit the Manuscript by Language Editor
Typeset the Manuscript

ISSN	2220-3206 (online)
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