Bibliometric analysis reveals rising trends and key prognostic predictors in disorders of consciousness, highlighting their significance.
Background Given that patients suffering from disorders of consciousness (DOCs) have the potential to recover consciousness and function, the prognostication is crucial for directing rehabilitation programs.Objectives We employed a bibliometric approach to systematically review the trends in prognostic studies of DOCs, focusing on the hotspots and trends of predictors of prognosis in DOCs.Methods We searched the publications from the Web of Science Core Collection database between 1991 and 2024. VOSviewer, Citespace software, and the “Bibliometrix” package in the R platform were used to generate co-occurrence network maps of predictors of prognosis in DOCs.Results A total of 357 articles met our inclusion criteria. Linear regression analysis indicates a significant rise in the annual publication rate concerning prognostic research of DOCs over time (p < 0.001). Moreover, four primary prognostic predictors have been identified: 1) demographic and clinical data, 2) chemical biomarkers, 3) electrophysiology, and 4) imaging.Conclusion In recent decades, research focus on prognostic markers for individuals with disorders of consciousness has shifted from relying on clinical indicators to developing objective measures of brain function, including magnetic resonance imaging and electroencephalogram. Moreover, multimodal prognosis prediction is the trend.
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Zhou et al. (2026) studied this question.
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