Meta-analysis services for complex healthcare evidence
Synthesa conducts frequentist and Bayesian meta-analyses for CROs, medcomms agencies, pharma, medical device, MedTech, and research teams, turning extracted study data into clear, interpretable evidence.
1,000,000+
abstracts screened
20,000+
outcomes meta-analysed
7 to 14 days
average project delivery
When narrative synthesis is not enough
A literature review can describe the evidence. A meta-analysis can quantify it.
For many healthcare and life sciences projects, decision-makers need to understand the size, direction, consistency, and uncertainty of effects across studies. That requires more than a summary table.
Meta-analysis can help answer questions such as:
- What is the pooled effect estimate?
- How consistent are results across studies?
- Do effects differ by population, intervention, comparator, endpoint, or follow-up time?
- Is there enough evidence to support a quantitative synthesis?
- How should uncertainty and heterogeneity be interpreted?
Synthesa helps teams move from extracted study data to structured statistical synthesis quickly, with expert review and clear interpretation.
Frequentist and Bayesian meta-analysis, delivered as a service
Synthesa can conduct the statistical synthesis stage of an existing review or deliver meta-analysis as part of a full systematic review project.
We can support
- Frequentist meta-analysis
- Bayesian meta-analysis
- Fixed-effect and random-effects models
- Bayesian random-effects models
- Meta-regression
- Subgroup analyses
- Sensitivity analyses
- Heterogeneity assessment
- Outcome-level synthesis across large datasets
- Publication-ready plots and tables
- Interpretation of findings for scientific, medical, or commercial audiences
Typical outputs include
- Pooled effect estimates
- Forest plots
- Heterogeneity statistics
- Model summaries
- Meta-regression outputs
- Subgroup analysis outputs
- Sensitivity analysis outputs
- Publication-ready figures
- Statistical methods text
- Structured interpretation of results
Meta-analysis support across evidence synthesis projects
Complete the quantitative synthesis stage of your review
Synthesa can support meta-analysis after screening and extraction are complete, or manage the full systematic review and meta-analysis workflow.
Useful when you need to
- Quantify outcomes across included studies
- Complete publication-focused evidence synthesis
- Move beyond narrative synthesis
- Prepare statistical figures and tables
- Interpret heterogeneity and uncertainty
Relevant services
Systematic Reviews, Meta-Analysis, Abstract Screening
Quantify evidence across fragmented device literature
Medical device evidence often varies by device generation, procedure, population, comparator, and outcome definition. Synthesa helps assess whether meta-analysis is feasible and, where appropriate, conducts statistical synthesis.
Useful when you need to
- Understand pooled clinical outcomes
- Compare evidence across device categories
- Support evidence-based differentiation
- Evaluate consistency across studies
- Assess outcome-level evidence strength
Relevant services
Meta-Analysis, Systematic Reviews, Rapid Evidence Synthesis
Add specialist meta-analysis capacity without hiring
Synthesa supports CROs and medcomms agencies that need statistical synthesis for client projects, publication programmes, or overflow evidence synthesis work.
Useful when you need to
- Analyse an extracted dataset
- Deliver publication-ready statistical outputs
- Add Bayesian or frequentist synthesis capability
- Support a client project under time pressure
- Handle many outcomes or complex datasets
Relevant services
Meta-Analysis, Network Meta-Analysis
Meta-analyse many outcomes efficiently
Some evidence synthesis projects involve dozens or hundreds of outcomes across included studies. Synthesa’s workflows are designed for high-volume outcome synthesis, with structured data handling and expert statistical review.
Useful when you need to
- Analyse a large number of outcomes
- Manage heterogeneous endpoint reporting
- Structure outcome-level datasets
- Generate multiple forest plots and model outputs
- Interpret patterns across many endpoints
Relevant services
Meta-Analysis, Data Extraction, Systematic Reviews
Choose the statistical approach that fits the evidence question
Different projects require different modelling choices. Synthesa supports both frequentist and Bayesian meta-analysis, with the approach selected based on the evidence base, project objective, and required interpretation.
Frequentist meta-analysis
A frequentist approach is often appropriate when teams need standard pooled estimates, heterogeneity assessment, subgroup analysis, and publication-ready statistical outputs.
Useful for:
- Conventional systematic review and meta-analysis projects
- Publication-focused analyses
- Outcome pooling across comparable studies
- Standard statistical reporting
Bayesian meta-analysis
A Bayesian approach may be useful when teams need flexible modelling, probabilistic interpretation, or synthesis across complex or limited evidence structures.
Useful for:
- Random-effects modelling
- Small or heterogeneous evidence bases
- Meta-regression
- Probabilistic interpretation
- Complex medical or device evidence questions
Already have extracted data? We can take it from there.
Many clients come to Synthesa with a dataset that is ready, or nearly ready, for meta-analysis.
We can review the dataset, assess analysis feasibility, advise on modelling choices, run the analysis, and deliver outputs suitable for manuscripts, reports, presentations, or internal decision-making.
We can work with
- Extracted outcome datasets
- Study characteristic tables
- Existing systematic review outputs
- Client extraction templates
- Prior analysis files
- Partially structured datasets
We can help with
- Data cleaning and structure review
- Outcome harmonisation
- Feasibility assessment
- Model selection
- Statistical analysis
- Figure and table generation
- Interpretation and methods text
Specialist synthesis without adding statistical programming burden
Meta-analysis requires more than running a model. It requires careful judgement about study comparability, outcome definitions, heterogeneity, sensitivity analyses, and interpretation.
Synthesa gives your team specialist support without requiring in-house statistical programming capacity or new software adoption.
Key advantages
- Frequentist and Bayesian capability
- Experience with complex outcome structures
- Ability to handle large numbers of outcomes
- Publication-ready figures and tables
- Statistical interpretation support
- No new software for your team to learn
- Flexible support for one dataset or a full project
Built for high-volume statistical synthesis
Synthesa has meta-analysed more than 20,000 outcomes across healthcare and medical research projects.
We support projects ranging from focused statistical synthesis of a single dataset to large evidence synthesis programmes with many endpoints, populations, and analysis layers.
20,000+
outcomes meta-analysed
Frequentist and Bayesian
methods
Meta-regression
capability
Publication-ready
statistical outputs
Experience
with large systematic reviews and complex datasets
Bayesian meta-analysis and meta-regression after screening 138,000 abstracts
A research consortium investigating cardiac remodelling in pre-eclampsia needed to synthesise a large and complex evidence base.
Synthesa screened 138,000 abstracts, extracted data from 75 relevant studies, and conducted a series of Bayesian random-effects meta-analyses and meta-regressions.
The project was completed in 3 weeks and published in a peer-reviewed journal.
Frenquently Asked Questions
Can Synthesa analyse a dataset we already extracted?
Yes. If you already have extracted data, Synthesa can assess feasibility, clean and structure the dataset where needed, run the meta-analysis, and deliver statistical outputs.
Do you support Bayesian meta-analysis?
Yes. Synthesa supports both frequentist and Bayesian meta-analysis, including random-effects models and meta-regression where appropriate.
Can you support publication-ready outputs?
Yes. Outputs can include forest plots, statistical tables, methods text, interpretation, and figures suitable for manuscripts or reports.
Can you analyse many outcomes?
Yes. Synthesa has meta-analysed more than 20,000 outcomes and can support projects with large outcome sets.
Can you help decide whether meta-analysis is appropriate?
Yes. Synthesa can assess whether the evidence base and extracted data are suitable for quantitative synthesis, and recommend the appropriate analysis approach.
Do we need to learn any software?
No. Synthesa delivers meta-analysis as a service. Your team receives the outputs without needing to use statistical software or manage AI tools.
Need expert meta-analysis support?
Send us your evidence question, included studies, extracted data, or project context. We can help assess feasibility, recommend the right approach, and deliver the analysis.