Knowledge Graphs for Systematic Reviews & Research Synthesis

A systematic review is the most rigorous form of evidence synthesis in modern research, and also one of the most labour-intensive — a Cochrane review averages 18 months and consumes thousands of researcher-hours across screening, full-text review, data extraction, risk-of-bias assessment, and meta-analysis. KnodeGraph reads the included-studies corpus and builds a graph of populations, interventions, comparators, outcomes, study designs, effect sizes, and risk-of-bias judgements. Synthesis teams use it to run citation-chasing, GRADE assessments, and PRISMA-conformant reporting from a structured artefact rather than a stack of spreadsheets.

Why Research Synthesis teams use KnodeGraph

  • PRISMA 2020 (Page et al., BMJ) is the reporting standard for systematic reviews; the 27-item checklist plus PRISMA flow diagram has been the de facto requirement at top journals since 2009 — KnodeGraph templates align directly with the PRISMA item structure.
  • Cochrane's Handbook for Systematic Reviews of Interventions (v6.4, 2023) defines the canonical PICO framework (Population, Intervention, Comparator, Outcome) — the same four entity types that anchor KnodeGraph's research-synthesis template.
  • GRADE (Grading of Recommendations Assessment, Development, and Evaluation) is the dominant evidence-quality framework, used by WHO, NICE, BMJ, and most clinical guideline bodies; its five domains (risk of bias, inconsistency, indirectness, imprecision, publication bias) map cleanly onto typed graph edges per outcome.
  • Citation-chasing (snowballing) — both backward (references of included studies) and forward (citations to included studies, via Web of Science or Scopus) — is the recommended supplement to database searching per Cochrane Handbook 4.3; the graph view makes the snowball traversable rather than spreadsheet-only.
  • The evidence pyramid (systematic reviews > RCTs > cohort > case-control > case series > expert opinion) classifies study designs by internal validity; a graph lets a synthesis team filter by tier and re-run the meta-analysis at multiple evidence-quality cutoffs.
  • Pro tier's 50K-node ceiling fits a typical Cochrane-scale systematic review (50–300 included studies × ~100 entities each → 5–30K post-curation nodes). For umbrella reviews of reviews, partition by sub-question.
  • Covidence, Rayyan, and DistillerSR are the dominant SR-screening tools; KnodeGraph is complementary — it picks up where they finish, on the included-studies set, building the data-extraction-and-synthesis graph.

How the workflow runs

1.Start from the included-studies set

After title/abstract and full-text screening in Covidence or Rayyan, you have a set of N included studies (typically 30–300). Export their PDFs and metadata. KnodeGraph ingests the full text directly.

2.Pick the synthesis template

Templates: 'Systematic Review' (study, population, intervention, comparator, outcome, effect size, risk of bias), 'Scoping Review' (study, concept, context, evidence type), 'Meta-Analysis' (study, effect size, variance, subgroup, heterogeneity statistic), 'Realist Review' (study, context, mechanism, outcome).

3.Extract PICO structure across studies

Claude reads each included study and proposes the PICO entities. A second reviewer confirms or corrects in the staging UI — the standard 'two reviewers, third for disagreement' Cochrane workflow maps to a single graph with reviewer-attribution metadata on each accepted edge.

4.Run the GRADE assessment

For each outcome, Claude proposes risk-of-bias, inconsistency, indirectness, imprecision, and publication-bias judgements with rationales drawn from the source text. A senior reviewer adjudicates. The resulting GRADE table exports cleanly as a Summary of Findings (SoF) for the published review.

5.Run citation-chasing on the graph

Filter to 'cited_by' edges (forward) and 'cites' edges (backward) from the included-studies subgraph. Studies with high incoming-edge density that did not surface in the database search are exactly the ones snowballing is supposed to catch — the graph view automates the visual scan.

6.Hand off for meta-analysis and reporting

Export the structured PICO + effect-size + GRADE data as JSON or CSV. Drop into RevMan, R (metafor), or Stata for the quantitative meta-analysis. The graph itself becomes a supplementary artefact published alongside the review for reproducibility.

Why KnodeGraph fits Research Synthesis workflows

  • •Templates encode the PRISMA 2020, PICO, and GRADE frameworks directly — extractions are typed against the same vocabulary the published review will use.
  • •Provenance to source page and section makes every extracted data point auditable for peer review and for the inevitable readers who replicate the review against your data.
  • •Two-reviewer workflows are first-class: each accepted edge carries reviewer attribution and disagreement-resolution metadata.
  • •100+ language support is a real gain for regional evidence syntheses — Cochrane reviews that include non-English RCTs (e.g., Mandarin TCM trials, German pharmacology RCTs) often miss them when the team is English-only; KnodeGraph levels the field.
  • •Cheaper than DistillerSR or a Cochrane Information Specialist's time — Pro at $14.99/mo lets a doctoral student or HEOR analyst pilot the workflow on a single review.
  • •Open exports (JSON, CSV, PRISMA-conformant flow data) feed downstream tools without lock-in; the synthesis is portable.

Frequently Asked Questions

Does it replace Covidence, Rayyan, or DistillerSR?

No — those tools are screening-and-management platforms optimised for the title/abstract and full-text screening stages. KnodeGraph is the next stage: data extraction, GRADE assessment, and synthesis on the included-studies set. Most pilot synthesis teams export their Covidence or Rayyan included-studies set and ingest it into KnodeGraph for the extraction-and-synthesis phase. The two tools chain together cleanly.

How does it support the PRISMA 2020 reporting checklist?

The PRISMA 2020 27-item checklist defines what must be reported — KnodeGraph templates align entity types and edges to those items (search dates, databases, eligibility criteria, risk-of-bias tool, certainty of evidence). Generating a PRISMA flow diagram still happens in your reporting tool of choice; KnodeGraph supplies the structured numerator and denominator at each flow stage for direct insertion. Several pilot teams report PRISMA reporting time has dropped materially because the graph already holds the audit trail.

Can it run the meta-analysis itself?

No — KnodeGraph is the structured-extraction layer. For the actual statistical meta-analysis (random-effects models, heterogeneity, subgroup analysis, meta-regression), export the structured PICO and effect-size data as CSV and load it into R (metafor or meta), Stata, RevMan, or Comprehensive Meta-Analysis. The graph and the statistical software complement each other; KnodeGraph holds the structured evidence, the stat package runs the math.

How does it handle GRADE certainty-of-evidence assessment?

The 'Systematic Review' template includes typed edges for each of the five GRADE domains (risk of bias, inconsistency, indirectness, imprecision, publication bias). Claude proposes a draft judgement per outcome with rationale drawn from the source text; a senior reviewer adjudicates. The resulting Summary of Findings table exports cleanly. For clinical guideline-level rigour (e.g., GIN-McMaster GIN-PrePARE process), pair KnodeGraph with GRADEpro GDT for the formal evidence-to-decision frameworks.

Is it appropriate for Cochrane-quality reviews?

It can be — and several pilot teams are running it on Cochrane-style reviews — but Cochrane has its own information specialists, methodology editors, and tooling expectations (RevMan, Cochrane Library). Talk to your editorial group before assuming KnodeGraph fits the workflow. For non-Cochrane systematic reviews (HEOR, payer evidence dossiers, NICE technology appraisals, doctoral theses), it slots in cleanly.

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