Meta-analysis, done right.

Pool every relevant study into one defensible answer, and make it strong enough to reach a good journal and survive a tough reviewer. Pairwise and individual-patient-data, by a team that does this every week.

What it is

One question, all the evidence, one statistical answer.

A systematic review finds every study that has asked your question. A meta-analysis then combines their results statistically, so instead of ten small, conflicting trials you have a single pooled estimate, with a confidence interval, a measure of how much the studies disagree, and an honest read on how much to trust it.

Two types we run here

Pairwise, compares two options (A vs B) by pooling head-to-head studies.

Network, compares many treatments at once, even those never tested directly against each other, and ranks them.

Individual-patient-data (IPD), pools the raw patient-level data (or reconstructs it from published survival curves) for the most powerful, flexible analysis.

Comparing many treatments, or pooling a diagnostic test? See network meta-analyses and diagnostic accuracy meta-analyses.

Forest plot of a pairwise meta-analysis: seven studies with risk ratios and confidence intervals, and a pooled random-effects estimate
Pairwise: a forest plot pools every eligible trial into one estimate with its confidence interval.
Network meta-analysis evidence network: six treatments as nodes, connected by lines weighted by the number of trials
Network: when there are more than two options, the review becomes a network meta-analysis.

How it works

The method, in plain terms.

01

Protocol

PROSPERO, before results

02

Search

PubMed, Embase, Scopus

03

Screen & extract

Two reviewers

04

Risk of bias

RoB 2, ROBINS-I

05

Pool

Random effects, I²

06

Certainty

Subgroups, GRADE

How you benefit

Why authors start here.

The project, step by step

How a meta-analysis runs with Cohira.

Start your meta-analysis →

1

Scope the question

We refine your idea into a focused PICO question and check the literature is neither empty nor already saturated.

2

Protocol & PROSPERO

We write and register the protocol, locking the method before results are seen.

3

Search, screen, extract

We run the search and manage dual screening and data extraction, keeping a full audit trail.

4

Analysis

We pool the data in R or Stata, assess heterogeneity and bias, and run the sensitivity and subgroup analyses.

5

Manuscript

We draft a PRISMA-compliant paper with you, figures, forest plots, and an honest discussion.

6

Submit & revise

We pick the target journal, submit, and answer reviewers with you through to a decision.

Published examples

Our meta-analyses, in the literature.

A selection of peer-reviewed meta-analyses co-authored by our founder, pairwise and individual-patient-data, in indexed journals.

Cardiovasc Interv TherOur work

Cerebral embolic protection in TAVI: a pooled analysis of 4091 patients

Balata M, Gbreel MI, Elkasaby MH, et al. · 2025

Patient-level pooled analysis across studies of stroke protection during transcatheter aortic valve implantation.

View in journal →
Catheter Cardiovasc IntervOur work

Drug-coated balloon vs drug-eluting stent for de novo lesions of large coronary arteries: a meta-analysis of 9,745 patients

Hassan A, Mansour A, Elkasaby MH, et al. · 2025

Sixteen studies, randomised and observational, pooled with subgroups by design.

View in journal →
World J Surg OncolOur work

Gastric partitioning vs gastrojejunostomy for gastric outlet obstruction: a pairwise and IPD meta-analysis

Hassan AA, Elkasaby MH, et al. · 2026

Individual-patient-data meta-analysis combining raw patient-level outcomes across studies.

View in journal →
BMC Cardiovasc DisordOur work

TAVI vs surgical replacement for pure aortic regurgitation: a meta-analysis of 33,484 patients

Elkasaby MH, Khalefa BB, Yassin MNA, et al. · 2024

Large pairwise meta-analysis comparing transcatheter and surgical valve replacement.

View in journal →

These are peer-reviewed papers co-authored by our founder. A fuller list is available on request.

Pricing

One fee, from idea to publication.

Systematic review with meta-analysis, idea to publication
Protocol, analysis with reproducible code, manuscript, journal shortlist, submission, and reviewer responses.
$1,500per study

Per project, never per author. Journal fees and database access are billed at cost. Network and diagnostic accuracy meta-analyses have their own pages: $1,600. Your week-by-week timeline is written into the free feasibility note before you pay. Booking more than one study? 10% off the second, 15% off from the third. Acceptance Guarantee & group pricing →

Start a conversation

Have a question worth pooling?

Tell us the comparison you care about. We will tell you honestly whether the literature can support a strong meta-analysis, and how we would build it.