This page highlights published reviews such as living systematic reviews, use cases across evidence synthesis teams and lifecycle, reviews of HTA materials, and other notable publications that have used Nested Knowledge as their research platform. It focuses on real-world use cases rather than validation of AI tools (for tool validation, see the Validation Studies of AI Tools page).
1. Living Systematic Reviews #
- Data Linkage in Practice: A Living SLR of Clinical Trials (ISPOR Europe 2025) – A living SLR was conducted using Nested Knowledge to continuously identify and categorize U.S. clinical trials linking to real-world data, revealing increasing adoption of trial-RWD linkage and demonstrating NK’s ability to maintain an always-current evidence base.
- Genicular Artery Embolization for Knee Osteoarthritis: A Living Systematic Review (Bolsegui et al., 2024) – This interactive living systematic review used Nested Knowledge to extract and synthesize trial design, core outcomes and data elements across genicular artery embolization studies for knee osteoarthritis, providing a structured overview that highlights common reporting patterns and continuously identifies gaps for future research.
- Common data elements reported on middle meningeal artery embolization in chronic subdural hematoma: an interactive systematic review of recent trials (Adusumilli et al., 2022) – This interactive living systematic review used Nested Knowledge to classify and compare outcome and endpoint-data elements across prospective trials of MMAE for chronic subdural hematoma, revealing substantial heterogeneity in outcome definitions and underscoring the need for standardized common data elements to enable reliable meta-analysis.
2. Reviews including HTA, Regulatory and other Grey Literature #
- Integrating Health Equity into Health Technology Assessment: A Scoping Review (ISPOR EU 2025) – This scoping review used Nested Knowledge to systematically capture and classify both published studies and grey-literature HTA materials on health-equity considerations, demonstrating the tool’s flexibility for broad, exploratory review types and nontraditional evidence sources.
- Payer and HTA Evaluation Criteria for Patient Self-Monitoring Technologies (ISPOR EU 2025) – This review leveraged Nested Knowledge to synthesize peer-reviewed evidence alongside HTA agency documents and policy grey literature, showcasing the tool’s ability to accommodate diverse data types for coverage-and-reimbursement assessments in emerging digital-health technologies.
3. End-to-End Use Cases in Pharma Product Lifecycle #
- The Use of Artificial Intelligence in the Development of Economic Models (ISPOR USA 2025) – This systematic review used Nested Knowledge to conduct AI-assisted screening and extraction across 1,872 economic-modeling studies, demonstrating 98% human and AI screening agreement and showing how NK can accelerate evidence gathering for model parameterization.
- PICO Prediction for JCA: A Case Study in Soft Tissue Sarcoma (STS) (ISPOR EU 2025) – This study used Nested Knowledge to systematically map the evidence landscape for soft tissue sarcoma and evaluate automated PICO prediction for Joint Clinical Assessments (JCA), demonstrating how structured data extraction and comparator identification can streamline early HTA planning and reduce uncertainty in JCA-ready scope definition using Nested Knowledge.
- Association of neighborhood deprivation and hypertension: A systematic review and meta-analysis (Satapathy et al., 2024) – This large-scale public health meta-analysis used Nested Knowledge for end-to-end screening and data extraction across 62 million participants, demonstrating how NK supports upstream epidemiology and burden-of-disease assessments that inform early pipeline strategy, market sizing, and HTA-relevant population definitions.
- Experiences and needs of women from ethnic minorities in maternity healthcare: A qualitative systematic review and meta-aggregation (Toh et al., 2023) – This qualitative systematic review used Nested Knowledge to conduct JBI-aligned meta-aggregation across 22 studies, illustrating how NK supports structured synthesis of patient-experience and equity-focused evidence.
4. Publications Embedding NK Visualizations #
- Comparative Effectiveness of Coronary CT Angiography and Standard of Care for Evaluating Acute Chest Pain: A Living Systematic Review and Meta-Analysis (Barbosa et al., 2023) – Published in Radiology, this living systematic review used Nested Knowledge to embed interactive Nested Knowledge visualizations comparing coronary CT angiography versus standard care for acute chest pain, providing continuously updating, structured evidence in a high-impact journal (Radiology).
5. Emerging & High-Complexity Research Areas #
- Correction Rates and Clinical Outcomes in Hospitalized Adults With Severe Hyponatremia (Ayus et al., 2025) – This systematic review and meta-analysis used Nested Knowledge to extract and synthesize outcomes in hospitalized adults with severe hyponatremia, providing rigorous, structured evidence in a high-impact clinical journal (JAMA Internal Medicine).
- Advances in endovascular brain computer interface: Systematic review and future implications (Ognard et al., 2025) – This study leveraged Nested Knowledge to synthesize complex engineering, preclinical, and early human evidence on endovascular BCIs, highlighting NK’s strength in organizing cutting-edge, multidisciplinary data in rapidly developing therapeutic technologies.
- Multiple Stroke Publications #1 and #2 (Aziz et al., 2024) – These stroke-thrombectomy systematic reviews leveraged Nested Knowledge to manage highly heterogeneous imaging, procedural, and patient-level data, enabling rapid re-analysis and evidence structuring in an emerging therapeutic area where trial designs, devices, and endpoints evolve quickly.
- Efficacy of antiviral therapies for COVID-19: a systematic review of randomized controlled trials (Vegivinti et al., 2022) – This highly-cited 2022 meta-analysis (BMC Infectious Diseases, awarded highest-cited article of 2022) used Nested Knowledge to systematically screen, extract, and synthesize antiviral COVID-19 trial data, producing a robust evidence summary that rapidly informed clinical and policy discourse during the pandemic.
- Common Data Elements Analysis of Mechanical Thrombectomy Clinical Trials for Acute Ischemic Stroke with Large Core Infarct (Jabal et al., 2022) – This study, adopted by the COMET Initiative, used Nested Knowledge to systematically identify and organize outcomes for thrombectomy trials, enabling standardized core outcome sets and guiding clinical-trial design through interactive evidence visualization.
- Vitamin K antagonist versus novel oral anticoagulants for management of cervical artery dissection: Interactive systematic review and meta-analysis (Essibayi et al., 2022) – An NK-driven meta-analysis assessing NOACs vs. VKAs for cervical artery dissection, highlighting the platform’s strength in rapidly organizing and comparing treatments for rare neurovascular disorders.
- Mechanical Thrombectomy With and Without Intravenous Tissue Plasminogen Activator for Acute Ischemic Stroke: A Systematic Review and Meta-Analysis Using Nested Knowledge (Adusumilli et al., 2021) – One of the earliest academic uses of Nested Knowledge, this Stanford-led meta-analysis leveraged NK’s semi-automated workflow to efficiently synthesize RCT evidence comparing MT+tPA versus MT alone, highlighting the platform’s value for rapid, methodologically robust analyses in acute stroke care.
