Literature Screening and Data Extraction Services
Comprehensive Evidence Synthesis for Real-World Evidence (RWE) and HEOR Research
In the rapidly evolving landscape of healthcare, pharmaceuticals, and medical technology, decision-making requires high-quality, evidence-based research. Systematic literature screening and data extraction form the foundation of Real-World Evidence (RWE) and Health Economics and Outcomes Research (HEOR), ensuring the integration of accurate, relevant, and up-to-date data into clinical and economic evaluations.
At Clievi, we provide specialized literature screening and data extraction services to support systematic reviews, meta-analyses, health technology assessments (HTAs), and real-world evidence generation. Our structured and methodologically rigorous approach ensures the highest level of transparency, reproducibility, and compliance with international standards, including PRISMA, Cochrane Handbook, NICE, ISPOR, and FDA/EMA guidelines.
Our Literature Screening and Data Extraction Services
1. Systematic Literature Screening and Identification
A robust literature screening process is essential for identifying high-quality and relevant evidence. We provide:
- Development of Search Strategies – Crafting comprehensive and reproducible search strategies tailored to specific research questions using Boolean operators, MeSH terms, and Emtree terms.
- Database Selection and Search Execution – Conducting systematic searches across major biomedical and regulatory databases, including PubMed, Embase, Cochrane Library, Scopus, Web of Science, ClinicalTrials.gov, and HTA repositories.
- Grey Literature and Unpublished Data Screening – Identifying conference abstracts, regulatory reports, and non-indexed sources to minimize publication bias.
- Title and Abstract Screening (Level 1 Screening) – Using predefined inclusion/exclusion criteria to filter relevant studies efficiently.
- Full-Text Review (Level 2 Screening) – Conducting in-depth evaluation of selected studies based on eligibility criteria.
- Dual Screening with Conflict Resolution – Utilizing a two-independent-reviewer approach to ensure accuracy, with conflict resolution by a third expert.
- PRISMA Flowchart and Documentation – Providing transparent study selection documentation for regulatory and publication compliance.
2. Data Extraction and Evidence Synthesis
High-quality data extraction is crucial for conducting meta-analyses, comparative effectiveness research, and economic modeling. Our services include:
- Structured Data Extraction Forms (DEFs) – Designing standardized extraction templates tailored to study objectives and regulatory requirements.
- Extraction of Study Characteristics – Collecting essential study details, including population, interventions, comparators, outcomes (PICO framework), study design, and setting.
- Quantitative Data Extraction – Extracting clinical efficacy, safety outcomes, health economics metrics, and patient-reported outcomes (PROs).
- Risk of Bias (RoB) and Quality Assessment – Conducting Cochrane RoB, Newcastle-Ottawa Scale (NOS), GRADE assessment, and AMSTAR evaluation for study reliability.
- Real-World Data (RWD) Integration – Extracting data from electronic health records (EHRs), insurance claims, and registries for real-world evidence generation.
- Text Mining and AI-Enhanced Extraction – Employing machine learning and natural language processing (NLP) for high-throughput data extraction and automation.
- Verification and Data Harmonization – Ensuring accuracy, consistency, and alignment with research objectives through rigorous data validation.
3. Data Synthesis for RWE and HEOR Applications
We transform extracted data into meaningful insights that support:
- Meta-Analysis and Systematic Reviews – Conducting quantitative synthesis to evaluate treatment efficacy and comparative effectiveness.
- Health Technology Assessments (HTAs) – Supporting cost-effectiveness, budget impact modeling, and payer decision-making.
- Comparative Effectiveness Research (CER) – Identifying the most effective healthcare interventions based on real-world evidence.
- Network Meta-Analysis (NMA) – Applying Bayesian and frequentist methodologies to compare multiple treatment options.
- Economic Modeling Inputs – Extracting parameters for cost-effectiveness and budget impact analyses.
- Regulatory and Reimbursement Submissions – Providing evidence synthesis for dossier preparation for FDA, EMA, NICE, CADTH, and PBAC.
Databases and Sources We Utilize
We extract and synthesize data from a wide range of sources, including:
- Biomedical Literature – PubMed, Embase, Cochrane Library, Web of Science
- Clinical Trials – ClinicalTrials.gov, EU Clinical Trials Register, WHO ICTRP
- Health Economics and Outcomes Research (HEOR) Data – ISPOR, Tufts CEA Registry, NICE evidence base
- Regulatory and Health Technology Assessment (HTA) Reports – FDA, EMA, CADTH, PBAC, ICER, HAS
- Real-World Data (RWD) Sources – Electronic Health Records (EHRs), Insurance Claims, Patient Registries
- Conference Abstracts and Grey Literature – Unpublished studies from major medical and scientific conferences
Industries and Clients We Serve
We provide literature screening and data extraction services to:
- Pharmaceutical and Biotechnology Companies – Supporting drug development, market access, and regulatory submissions.
- Medical Device and Diagnostic Companies – Enhancing evidence generation for technology assessments and reimbursement.
- Health Technology Assessment (HTA) Agencies – Conducting systematic reviews and evidence synthesis for policy decisions.
- Government and Public Health Organizations – Supporting epidemiological research and healthcare interventions.
- Academic and Research Institutions – Facilitating systematic reviews and meta-analyses for high-impact publications.
Why Choose Clievi for Literature Screening and Data Extraction?
- Expertise in RWE and HEOR Research – Our team comprises epidemiologists, health economists, and clinical researchers experienced in evidence synthesis.
- Compliance with Global Standards – We follow PRISMA, Cochrane, ISPOR, and GRADE guidelines for transparency and reliability.
- AI-Driven and Manual Hybrid Approach – Leveraging machine learning alongside expert human review for accuracy and efficiency.
- End-to-End Evidence Generation Support – From search strategy development to full-scale data synthesis and reporting.
- Regulatory and Market Access-Focused – Ensuring compliance with FDA, EMA, NICE, and payer requirements for decision-making.
- Customized Solutions for Diverse Research Needs – Tailored screening and extraction frameworks for pharma, medical devices, public health, and academia.
Get in Touch
Partner with Clievi for high-quality literature screening and data extraction to drive real-world evidence (RWE) and health economics and outcomes research (HEOR).
Email:
Website: www.clievi.com