Estimed™
Connected Evidence Synthesis & Analysis
Move From Fragmented Evidence Workflows to Connected Intelligence
Life sciences teams face growing volumes of scientific and clinical evidence, increasing methodological complexity, and pressure to deliver decision-ready insights faster. Yet evidence generation often remains fragmented across disconnected tools, datasets, and workflows. Literature searches, screening, data extraction, synthesis, quantitative analysis, and reporting may happen separately, creating repeated work and making it harder to carry evidence forward.
Estimed changes that.
Estimed is Cytel’s connected evidence synthesis platform, combining AI-assisted workflows, advanced quantitative analysis, and Cytel expertise to accelerate evidence generation and help teams build on evidence rather than start from scratch.
Request a demoAI with Expert Oversight
Accelerate repetitive evidence-generation activities with purpose-built AI while keeping experts in control.
Build on Existing Evidence
Build structured evidence to support future reviews, updates, and analyses within your organization’s evidence program, reducing the need to start from scratch.
Go Beyond the Software
Use Estimed independently or extend your team with Cytel’s evidence synthesis, health economics and outcomes research (HEOR), market access, and strategic expertise.
Connect Evidence to Analysis
Keep records, data, and outputs connected across literature review stages, from evidence identification and screening through extraction and analysis, within one platform.
One Connected Platform for Evidence Synthesis
Discover and Screen
Translate research questions into structured search strategies, retrieve relevant literature, and streamline study screening with AI-assisted workflows that preserve human validation, traceability, and auditability.
Extract and Structure
Extract relevant study data into structured, reusable evidence datasets, reducing repetitive manual work while creating a stronger foundation for downstream synthesis and analysis.
Interrogate and Synthesize
Explore and compare evidence across studies to identify patterns, evidence gaps, and insights, with structured data that can be carried forward into additional analyses and evolving research questions.
Analyze and Compare
Generate validated, analysis-ready datasets for NMA. Compare treatments across studies and visualize results through forest plots, league tables, and network diagrams.
Report and Communicate
Generate evidence tables, PRISMA flow diagrams, and HTA-ready and stakeholder-ready outputs, with flexible export options across multiple formats.
Update and Reuse
Build on structured evidence to support future reviews, updates, and analyses within your organization’s evidence program, reducing the need to start from scratch as new research emerges or strategic questions evolve.
AI-Assisted Screening: Internal Performance Evaluation
Internal testing evaluated the performance of AI-assisted title and abstract screening and full-text screening using Estimed.
Title and abstract screening
92.7%
Accuracy
82.5% recall · 2,443 records
Full-text screening
85.0%
Accuracy
93.5% recall · 100 records
Source: Cytel internal testing. Title and abstract results reflect the Initial AI Performance against the reference labels and SME review; full-text results reflect an independent test set. Results are specific to the evaluated datasets and testing conditions.
Estimed supports human review and verification throughout AI-assisted screening, keeping scientific and methodological decisions under expert oversight.
Evidence Expertise, Enabled by Estimed
Cytel’s Evidence, Value, and Access (EVA) team combines evidence synthesis and market access expertise with connected evidence technology available through Estimed to support evidence needs from early strategic decision-making through HTA/JCA and ongoing evidence updates.
Landscape Assessment
Combine strategic evidence expertise with Estimed-supported evidence identification, interrogation, and visualization to rapidly assess the evidence landscape. Inform product lifecycle planning and BD acquisition due diligence, PICO refinement and integrated evidence generation plan, disease and unmet-need assessment, competitive and payer landscapes, evidence gaps, HEOR research priorities, and value-story development.
Targeted Literature Review
Address defined research questions through streamlined literature reviews, using AI-assisted evidence discovery, screening, and data extraction capabilities within Estimed. Organize evidence within a connected environment for interrogation, visualization, and reporting.
Systematic Literature Review
Conduct comprehensive systematic literature reviews to inform HTA/JCA and support publication, including HTA/JCA-compliant data-extraction tables. Estimed supports appropriate stages of the review workflow, while our EVA team provides methodological and scientific expertise.
Network Meta-Analysis
Combine Cytel’s evidence synthesis and methodological expertise with the advanced NMA capabilities of Estimed to support comparative effectiveness questions, HTA requirements, and strategic evidence decisions.
Choose the Estimed Model That Works for You
Every organization has different evidence capabilities, resources, and priorities. Estimed gives you flexibility in how you build and scale your evidence function.
Build your own evidence capability with Estimed, have Cytel experts deliver Estimed-enabled evidence work, or combine the two. Estimed offers flexible engagement models that let you choose the right balance of technology and expert support for your evidence needs.
Built for Evidence Teams Across the Product Lifecycle
Estimed supports cross-functional teams that need to find, synthesize, analyze, and apply evidence to inform decisions throughout development and commercialization.
Built for teams across:
- Health Economics and Outcomes Research
- Market Access
- Evidence Generation and Strategy
- Medical Affairs
- Epidemiology
- Real-World Evidence
- Biostatistics and Quantitative Evidence Synthesis
FAQs
How can AI support systematic literature reviews and evidence synthesis?
Cytel’s Estimed™ platform uses purpose-built AI to accelerate evidence-generation activities, including developing structured search strategies, retrieving relevant literature, screening studies, and extracting evidence. Human validation, traceability, and auditability remain integral to the workflow, helping experts automate repetitive work without automating scientific judgment.
Can Estimed support systematic and targeted literature reviews?
Yes. Estimed supports targeted literature reviews and appropriate stages of systematic literature review workflows, including evidence identification, screening, extraction, and structuring. Organizations can use Estimed with internal teams or engage Cytel’s evidence synthesis experts for Estimed-enabled evidence services.
Can Estimed support network meta-analysis?
Yes. Estimed connects structured evidence with advanced quantitative synthesis, including network meta-analysis. It supports validated, analysis-ready datasets for NMA and enables treatment comparisons to be visualized through outputs including forest plots, league tables, and network diagrams.
Can evidence from literature reviews be reused for future research questions?
Yes. Cytel helps teams structure evidence to support subsequent reviews, updates, and analyses within their organization’s evidence program, reducing the need to start from scratch as research questions evolve.
How is Estimed different from traditional literature review tools?
Estimed goes beyond evidence discovery and screening by connecting literature review workflows with structured evidence and advanced quantitative synthesis, including pairwise MA and NMA. Organizations can use the platform independently or combine its capabilities with Cytel’s evidence synthesis, HEOR, market access, and strategic expertise to support evidence needs across the product lifecycle.
Book Your Free Estimed™ Demo
Find out how Cytel can help you take the pain out of SLR for surer, more streamlined and successful HTA submissions. Book a demo with our Evidence Generation team today.