The effects of computerized cognitive training on cognitive function in patients with mild cognitive impairment: a systematic review and meta-analysis
Clinical Snapshot
PICO Framework
| P — Population | Patients with mild cognitive impairment (MCI) |
| I — Intervention | Computerized cognitive training (CCT) |
| C — Comparator | Control conditions (not specified in abstract) |
| O — Outcomes | Global cognition, specific cognitive domains, psychosocial functioning, and activities of daily living |
Bottom Line
This meta-analysis of 30 RCTs (2056 participants) demonstrates that computerized cognitive training produces moderate improvements in global cognitive function for patients with mild cognitive impairment (SMD 0.62, 95% CI 0.43-0.81). However, the high heterogeneity between studies (I² = 73%) and varying training protocols limit confidence in these findings. While the overall effect appears robust across different subgroups, the lack of standardized protocols and unclear long-term benefits mean CCT cannot yet be definitively recommended as standard care. Clinicians may consider CCT as an adjunctive non-pharmacological intervention for motivated MCI patients, but should counsel about uncertain durability of benefits and need for further research to establish optimal training parameters.
Key Findings
P Value: Not reported in abstract
Effect Size: SMD = 0.62 (moderate effect)
Primary Outcome: Global cognitive function improvement
Nnt Or Sensitivity: Moderate effect size suggests clinically meaningful improvement, though NNT not calculable from available data
Confidence Interval: 95% CI: 0.43-0.81
Clinical Application
Moderate - requires access to computerized training platforms and patient compliance with training protocols Relevant to Australian practice as non-pharmacological intervention; may complement RACGP guidelines for MCI management; cost-effectiveness considerations important for potential PBS listing Adults with mild cognitive impairment seeking non-pharmacological interventions
Abstract
BACKGROUND: We sought to quantify the effects of computerized cognitive training (CCT) on patients with mild cognitive impairment (MCI), to inform the development of clinical non-pharmacological intervention strategies. METHODS: We searched PubMed, Cochrane Library, Embase, and Web of Science databases from 2007 to February 2026 for randomized controlled trials (RCTs) of CCT in patients with MCI. Outcomes including global cognition, specific cognitive domains, psychosocial functioning, and activities of daily living were analyzed separately by stata 18 and Review Manager 5.4. RESULTS: We included 30 studies and 2056 participants. Our meta-analysis revealed that, compared with control conditions, CCT led to a significant moderate improvement in overall cognitive function, standardized mean difference (SMD) = 0.62, 95% confidence interval (CI) = 0.43-0.81; I2 = 73%. Subgroup analysis showed that intervention characteristics-including session duration, training device, total intervention length, weekly frequency, sample size, and assessment tools-yielded similar improvements in global cognition, with no statistically significant differences between subgroups. These findings indicate that the cognitive benefits of CCT are consistent and robust. CONCLUSION: This systematic review and meta-analysis shows CCT significantly improves global cognitive function in MCI patients, with stable benefits across subgroups. Despite clear overall effects, high heterogeneity, varying training protocols and assessment tools exist. Further large, long-term RCTs are needed to clarify CCT's long-term effects and support its standardized clinical application. TRIAL REGISTRATION: PROSPERO International prospective register of systematic reviews CRD420261328762; https://www.crd.york.ac.uk/PROSPERO/view/CRD420261328762 .
References
- 1.Guan, Y., Zhang, S., Jiang, Y., Zhang, Q., & Xiong, P. (2026). The effects of computerized cognitive training on cognitive function in patients with mild cognitive impairment: a systematic review and meta-analysis. Journal of Neurology. https://doi.org/10.1002/hsr2.2175
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