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AI evidence extraction

EmBodyMeta

Guillermo Pérez Algorta · OSF Preprints (OSF Preprints) · 2026

AI-generated evidence extraction, verified across multiple analytical personas. Not a substitute for the peer-reviewed original.

9/10
Relevance
0/4
Quality (LMQS)
E
Evidence
0
Citations

Methodology & findings

Study design

Systematic review and meta-analysis with reproducible, partly automated (LLM-assisted, human-checked) search, screening, and extraction pipeline synthesizing randomised controlled trials.

Primary method

LLM-assisted (partly automated) search, screening, and extraction pipeline with human verification. Specific statistical synthesis methods are not detailed in the abstract.

Main result

EmBodyMeta is a living systematic review and meta-analysis that "identifies and synthesises randomised controlled trials of psychosocial support delivered to patients, carers, or dyads, across conditions, using a reproducible, partly automated (LLM-assisted, human-checked) search, screening, and extraction pipeline." The review focuses on psychosocial interventions for neurodegenerative conditions including Parkinson's, dementias, Huntington's disease, multiple sclerosis, and motor neurone disease.

Reports effect sizes.

Research paradigm

Positivist/empiricist (systematic evidence synthesis)

Risk of bias

Study is a protocol/living review - appears to be pre-results or in-progress; LLM-assisted screening introduces potential automation bias; No completion status or results reported yet

Open questions raised

  • The review implicitly identifies gaps in the evidence base for psychosocial interventions in neurodegenerative conditions by synthesizing randomised controlled trials across multiple conditions (Parkinson's, dementias, Huntington's disease, multiple sclerosis, and motor neurone disease).
  • The review aims to identify and synthesize evidence on "psychosocial (non-pharmacological) interventions for people with neurodegenerative conditions" and "their carers," suggesting gaps in synthesized understanding of such interventions across these conditions.
Data: not_statedCode: not_statedExtracted from: pdfAgreement 74%

Explore related topics

Meta-Analysis AutomationKnowledge SynthesisMeta-Analysis

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