Table · dataset · 2026
Data Sheet 1_Comparative efficacy of non-pharmacological interventions for amnestic mild cognitive impairment: a network meta-analysis.pdf
Listed in figshare and Loughborough Research Repository and GRANTS Data and UP Research Data Repository — shown once because both records carry DOI 10.3389/fnagi.2026.1878590.s001
Background<p>Amnestic mild cognitive impairment (aMCI) represents a critical prodromal stage of Alzheimer's disease, with a prevalence of approximately 10.03% and an annual conversion rate to dementia of 5%–10%.
Description
Non-pharmacological interventions, including acupuncture, moxibustion, cognitive therapies, repetitive transcranial magnetic stimulation, and Tai Chi, are considered potentially effective therapeutic approaches.
However, comparative efficacy among these interventions remains elusive.</p>Methods<p>PubMed, Embase, Cochrane Library, Web of Science, CNKI, Wanfang, and VIP databases were systematically searched from inception to March 2026. Randomized controlled trials comparing two or more non-pharmacological interventions for aMCI were included. The RoB2 was used to assess methodological quality.
Read the rest (4 more)
A frequentist network meta-analysis was conducted with changes in cognitive function scores as the primary outcome, measured by the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA). Statistical analyses were performed using R software (version 4.4.3) with the netmeta package. Mean differences (MD) and 95% confidence intervals (CI) were calculated.
The surface under the cumulative ranking curve (SUCRA) was used to rank interventions. Consistency was evaluated using the node-splitting method, publication bias was assessed with funnel plots, and robustness was examined through sensitivity analysis.</p>Results<p>A total of 32 randomized controlled trials were included, of which 22 reported MMSE scores and 21 reported MoCA scores. Network meta-analysis demonstrated that manual acupuncture combined with moxibustion ranked first for improving MMSE scores (SUCRA = 87.9%), showing significant superiority over usual care (MD = 1.65, 95% CI: 0.01 to 3.29), followed by Tai Chi (SUCRA = 76.7%) and electroacupuncture (SUCRA = 71.7%).
For MoCA score improvement, manual acupuncture combined with moxibustion also ranked first (SUCRA = 95.3%), with manual acupuncture (SUCRA = 71.5%) and moxibustion (SUCRA = 65.9%) ranking second and third, respectively. Both outcome measures yielded consistent results, indicating that traditional Chinese medicine-based non-pharmacological interventions demonstrated favorable efficacy with higher rankings. However, absolute effect sizes were modest, and the top ranking of the combined intervention was tentative given local inconsistency and the small number of informing trials.</p>Conclusions<p>Non-pharmacological interventions confer modest beneficial effects on cognitive function in patients with amnestic mild cognitive impairment, and traditional Chinese medicine-based modalities consistently occupied the top ranks for both outcomes.
Manual acupuncture combined with moxibustion ranked highest; however, this ranking is tentative given local inconsistency and the small number of informing trials, and the certainty of evidence was limited by the methodological quality of the included studies. Given their favorable safety profiles, these interventions are best positioned as adjunctive therapies. Large-scale, rigorously designed randomized controlled trials, including head-to-head comparisons of combined vs. single-modality interventions, are warranted to substantiate these findings.</p>Systematic review registration<p>PROSPERO: crd.york.ac.uk/prospero/display_record.php?ID=CRD420251007806, identifier: CRD420251007806.</p>
Links
Where it is published
- DOI doi.org/10.3389/fnagi.2026.1878590.s001 ↗
DOI / persistent id · from figshare com
Catalogue records · 1
- OAI-PMH record api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3Af… ↗
metadata API · from figshare com
Topics
- From keywords
- Astronomy & Astrophysics · Chemistry · Chemistry · Computer Science & AI · Computer Science & AI · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Earth & Environmental Science · Economics & Finance · Economics & Finance · Engineering · Engineering · Engineering · Humanities · Humanities · Humanities · Life Sciences · Life Sciences · Life Sciences · Life Sciences · Materials Science · Mathematics & Statistics · Medicine & Health · Medicine & Health · Medicine & Health · Medicine & Health · Ocean & Atmospheric Science · Psychology & Behavioral Science · Psychology & Behavioral Science · Psychology & Behavioral Science · Psychology & Behavioral Science · Social Science · Social Science · Social Science
- Inferred from text
- Disease 75%
Provenance · 4 source records, 41 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| figshare | oai:figshare.com:article/34054611 | 7 d ago | JSON v1 |
| Loughborough Research Repository | oai:figshare.com:article/34054611 | 7 d ago | JSON v1 |
| GRANTS Data | oai:figshare.com:article/34054611 | 7 d ago | JSON v1 |
| UP Research Data Repository | oai:figshare.com:article/34054611 | 7 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · figshare com | connector:figshare_com@1.0.0 | |
| concepts[disease].local:disease:disease | enrichment · figshare com | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[field].local:field:astronomy | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:chemistry | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:computer-science-ai | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:economics-finance | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:engineering | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:engineering | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:humanities | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:humanities | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:materials-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:mathematics-statistics | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:ocean-atmospheric | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · grantsdata jst go jp | connector:grantsdata_jst_go_jp@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · figshare com | connector:figshare_com@1.0.0 | |
| concepts[field].local:field:social-science | mapping · repository lboro ac uk | connector:repository_lboro_ac_uk@1.0.0 | |
| concepts[field].local:field:social-science | mapping · researchdata up ac za | connector:researchdata_up_ac_za@1.0.0 | |
| description | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/description |
| license | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/rights |
| publication_date | source · figshare com | connector:figshare_com@1.0.0 | |
| title | source · figshare com | connector:figshare_com@1.0.0 | /metadata/dc/title |