Safety and efficacy of active and passive immunotherapy in mild-to-moderate Alzheimer’s disease: A systematic review and network meta-analysis
Bibliographic record
Abstract
OBJECTIVE: The objective of this study was to systematically review and conduct a direct and network meta-analysis of randomized controlled trials that have examined the clinical safety and efficacy of using passive and active immunotherapies in Alzheimer's disease (AD). RESEARCH QUESTIONS: (1) Is amyloid-based immunotherapy in patients with mild-to-moderate AD associated with more efficacy benefits compared to placebo? (2) Which immunotherapy agent is associated with more comparative benefit? (3) Is passive or active immunotherapy associated with more benefits? DATA SOURCES: A systematic review of published randomized controlled trials was performed in MEDLINE, EMBASE, PubMed and Cochrane library. Review methods and meta-analysis: Two reviewers independently selected the studies, extracted the data and assessed risk of bias. Important AD cognitive scales as clinical efficacy outcomes were ADAS-cog, CDR and MMSE whereas edema, neoplasms and mortality were included as safety outcomes. A direct comparison meta-analysis using a random effect model and a network (direct and indirect) comparison was conducted to calculate mean differences in treatment effects, SUCRA and ranking probabilities for each medicine per safety and efficacy outcome. Quality of network results were assessed using GRADE methodology. PRINCIPLE FINDINGS: Thirteen RCT-assessed patients with mild-to-moderate AD were included in the final analysis. The results showed that immunotherapies compared with placebo produced a statistically, but not clinically significant, improvement in ADAS-cog (MD=-0.39; 95% CI -0.42, -0.35, P=0.00) and MMSE. In terms of safety, the rate of ARIA-E was significantly higher with monoclonal antibodies. Solanezumab and AN1792 (vaccine) were the drugs of choice both from efficacy and safety perspectives. CONCLUSION: In terms of efficacy, the review showed a statistically, but not clinically significant, improvement in favor of immunotherapy versus placebo. Further clinical trials are required to demonstrate any cognitive benefits of immunotherapies in mild-to-moderate AD.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.033 | 0.067 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.044 |
| Bibliometrics | 0.011 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".