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Category 02•Research & Technical Support

Meta-Analysis & Evidence Synthesis

PRISMA-compliant systematic reviews, forest plots, funnel plots, and pooled effect sizing.

Service Overview

Meta-analyses represent the pinnacle of the evidence hierarchy and garner the highest citation rates. We execute complete quantitative evidence syntheses adhering to PRISMA 2020 guidelines—from systematic search strategies and risk-of-bias assessment to fixed/random-effects modeling, forest plots, and meta-regression.

Core Capabilities & Scope

Our specialized workflow incorporates rigorous academic standards and domain-specific benchmarks:

Systematic Search & Data Extraction

Comprehensive multi-database search strings (PubMed, Embase, Cochrane, Web of Science) and standardized double-extraction matrices.

Pooled Effect Size Computation & Forest Plots

Calculation of pooled odds ratios, relative risks, standardized mean differences (Hedges' g), and high-resolution forest plots.

Heterogeneity & Publication Bias Analysis

Evaluation of I-squared heterogeneity, subgroup meta-regression, funnel plots, and Egger's regression test.

Key Deliverables

  • ✓PRISMA 2020 Flow Diagram and Compliance Checklist
  • ✓Cochrane Risk-of-Bias (RoB 2 / ROBINS-I) assessment tables
  • ✓High-resolution Forest and Funnel Plots
  • ✓Complete Meta-Analysis Results section drafted for publication

Impact & Benefits

  • ★Publish in high-impact medical and scientific journals
  • ★Ensure airtight methodology meeting Cochrane and PRISMA standards
  • ★Identify real statistical significance across fragmented literature
  • ★Significantly accelerate publication timeline with specialized meta-analytic tools (RevMan, R metafor)

How It Works: Our Process

A disciplined, peer-review tested methodology ensuring transparent turnaround and high scientific caliber.

Step 01

Protocol & PICO Formulation

Define Population, Intervention, Comparator, and Outcome criteria.

Step 02

Systematic Search & Screening

Execute multi-database queries and screen studies against inclusion criteria.

Step 03

Data Extraction & Risk of Bias

Extract quantitative data and assess study methodological quality.

Step 04

Statistical Synthesis

Run meta-analytic models, generate forest plots, and author the narrative.

Frequently Asked Questions

We utilize R (meta, metafor packages), RevMan (Cochrane), and Comprehensive Meta-Analysis (CMA).

Ready to Accelerate Your Publication?

Our multidisciplinary team of doctoral editors, biostatisticians, and publishing strategists are ready to collaborate on your manuscript.

Submit Your Manuscript / Inquire