25.517 papers · continuously updated · last export: 29 Mar 2026livingmeta.ai

LivingMeta Research Synthesis Methods

automatically monitors, classifies, and analyzes every new publication on evidence synthesis methodology — from systematic review conduct and AI-assisted screening to living review infrastructure and evidence gap mapping.

Continuously monitoring 25.517 papers from 10.486 journals and preprint servers (1901–2050). A living meta-analysis platform that continuously monitors, classifies, and analyzes research on evidence synthesis methodology — systematic reviews, meta-analyses, living reviews, evidence gap maps, AI-assisted screening and extraction, and research synthesis infrastructure.

25.517
Papers
501
Research gaps
10.486
Sources

How It Works

📡

Monitor

Continuously monitoring 10.486 journals, preprint servers, and thesis repositories.

🔬

Extract

Six AI personas independently extract methodology, findings, and gaps — then reach consensus.

🧭

Investigate

The Lab coaches you through your research question with AI-backed evidence and structured phases.

Priority Research Agenda

AI-identified research priorities ranked by frequency, impact, and feasibility. How does this work?

1

Health Equity Assessment in Systematic Reviews

There is a critical lack of systematic reviews adequately addressing health equity questions, despite growing recognition that interventions may have differential effects across populations. This gap limits the field's ability to inform equitable policy and practice decisions.

2

Risk of Bias Assessment Integration and Reliability

Current risk of bias assessments suffer from poor reliability and inconsistent integration into review conclusions. This fundamental methodological weakness undermines the credibility and utility of systematic review findings across all domains.

3

PRISMA Guideline Implementation and Adherence

Poor adherence to reporting guidelines undermines systematic review quality and reproducibility. Understanding barriers to PRISMA implementation is essential for improving review standards across the field.

Frequently Asked Questions

Every paper is independently analyzed by six AI personas, each with a different cognitive focus (methodologist, skeptic, synthesizer, etc.). They extract the same 75 fields, and a consensus algorithm resolves disagreements field-by-field. Every factual claim must include a verbatim quote from the source paper — extractions without textual evidence are automatically flagged. Agreement scores are visible on each paper card.
The agenda is built automatically from the evidence in this instance. First, AI extractions identify research gaps across all papers (only highly relevant papers, scored 7+ out of 10, contribute). These gaps are clustered into themes using TF-IDF text analysis. Each theme is then scored on five weighted dimensions: how frequently the gap appears, the quality of the source papers, feasibility of addressing it, recency of the evidence, and how broadly across the field the gap surfaces. An AI then reviews the top-ranked themes and filters out anything too narrow or niche — only priorities relevant to the broader field survive. The result is a ranked list that updates with every new paper added to the platform.
Yes — The Lab provides AI-coached research guidance through 8 phases, from exploring the literature to writing your manuscript. Select the 'Junior Researcher' role when starting a thread, and the system will scaffold your process with Socratic questions. You can export papers to CSV or BibTeX at any time.
Those tools address individual stages — Elicit does per-paper extraction, Consensus searches abstracts, Cochrane produces static reviews. LivingMeta integrates extraction, gap analysis, coached investigation, and resource discovery into a single continuously updated workflow. The platform is the methodology.
Start a thread in The Lab describing what you found. The instance owner reviews submissions and can trigger corrections or additions. Papers flow through the same classification and extraction pipeline as all other content.

Built on the LivingMeta platform. Read the foundation paper for methodology and architecture details.