Search PubMed, extract associations, and export a thematic Word review with PMIDs for grants and scoping studies.
The pipeline
Search, extract, and synthesize in three stages within one conversation. Comparing automation approaches? Read our blog on literature review automation to learn more about workflows and when teams adopt them.
Plain-language input
Motif renders MeSH-aware boolean queries from your research objective, searches PubMed, PubMed Central, and Europe PMC, and runs a relevance gate on title and abstract before fetching full text. Upload PDFs directly to your article library. Evaluating AI tools for daily research? Read our blog on AI research tools to learn more.
Hi Alex, what would you like to explore?
1. α-synuclein seed amplification assay positivity is associated with Parkinson's disease diagnosis vs healthy controls (sensitivity 87.7%, specificity 96.3%, cohort n=1,123)
↓ Supporting Evidence (3)
2. Neurofilament light chain (NfL) in CSF is associated with faster motor progression in early Parkinson's disease (β=0.31 per SD, 95% CI: 0.18-0.44, prospective n=388)
↓ Supporting Evidence (2)
3. DAT-SPECT striatal binding ratio is associated with differentiation of MSA from idiopathic Parkinson's disease (AUC 0.84, case-control n=156)
↓ Supporting Evidence (2)
Association library
Motif reads full text including main body, figures, tables, and supplementary files, and emits structured association sentences linking biomarkers to diseases, drugs, and phenotypes, each with a PMID and GRADE-adapted evidence score.
Cited literature review
After extraction, Motif writes a thematic narrative survey from your knowledge graph covering background, key biomarker findings, and where evidence is thin, with highlighted terms and every claim traceable to a source paper.
Literature review
Predictive biomarkers for PD-1/PD-L1 blockade in NSCLC
Background
Across 47 screened papers, tumor PD-L1 expression (TPS ≥50%) remains the most cited enrichment criterion for first-line pembrolizumab, though TMB-high and STK11/KEAP1 co-mutations modify response in ways PD-L1 alone does not capture.
Predictive biomarkers
KEYNOTE-042 and CheckMate 227 support PD-L1 TPS stratification, while blood-based ctDNA clearance at week 6 shows emerging predictive utility. Evidence is strongest for tissue PD-L1; liquid biopsy markers remain inconsistently validated across cohorts.
Gaps in the literature
Few studies report discovery and validation cohorts in the same biomarker paper. Prospective trials linking composite signatures to OS beyond single-analyte cutoffs are still sparse.
Papers cited in this review
Choose a format to export your research results
Grant-ready outputs
Export per pipeline: pick articles, associations, cross-references, your report, and search provenance, or download the full literature review as a cited Word manuscript with references.
How Motif's literature review pipeline works in practice
You ask a research question in plain English. Motif searches PubMed, PubMed Central, and Europe PMC, screens candidates against your objective, extracts structured biomarker associations from full text, and synthesizes a cited thematic narrative you can export as Word, Excel, CSV, or JSON.
Before full-text retrieval, Motif runs a relevance gate on each paper's title and abstract against your research objective. Papers without enough abstract text are excluded; borderline cases are recorded in search provenance so you can audit what was screened out. For formal systematic reviews, a separate dual-pass eligibility tool is available.
Not by default. A Motif literature review is a thematic narrative survey from papers in your knowledge graph, with no PRISMA flow diagram, dual screening counts, or risk-of-bias tables. For a formal PRISMA systematic review, you run search provenance, eligibility screening, and risk-of-bias assessment first, then synthesize as a systematic review. For grant backgrounds and scoping reviews, the literature review is the right starting point.
Literature search queries PubMed, PubMed Central (PMC), and Europe PMC. Preprints can be included via Europe PMC when enabled. Motif does not search Embase, Web of Science, or Cochrane as literature sources.
Each extracted association gets a GRADE-adapted evidence certainty score based on study design, sample size, and reporting quality, surfaced as High, Moderate, Low, or Very Low in the UI. Association sentences link to source PMIDs with supporting quotes or figure interpretations, so you can verify every claim against the original paper.
Motif screens on title and abstract before reading full text, so relevance judgments are only as good as the abstract. Paywalled PDFs without open access may not be retrievable. Scope depends on your plan: Starter searches up to 5 papers per query, Pro up to 40. Meta-analysis requires at least three studies with comparable effect sizes. Researchers should verify key findings in the source papers.
Join researchers searching PubMed, extracting associations, and exporting cited evidence from the literature.