Where trusted evidence gets made.

A purpose-built platform for systematically reviewing research.

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By QS and THE use Covidence

Trusted by the world's leading institutions

Every stage of your review, handled

Covidence brings the whole review into one place,
so your team can focus on the studies, not the admin.
Review setup

Agree the question before the work begins

Set out your question, inclusion criteria and team roles in one place, so everyone is working to the same protocol from day one.

Effectiveness of Vitamin C on the Common Cold

Include
  • Adults over 18
  • Vitamin C
  • Placebo
Exclude
  • Children
  • Zinc

Importing

Set the review up to succeed

Define your question and context, then import references from any database or reference manager. Duplicates are removed automatically, before anyone screens a single title.

EndNoteZoteroMendeleyRefWorksRIS / CSV / PubMed XML
Importing 164 of 500 references...
Checking references for duplicates...
Auto-marking ineligible references...

Screening

Screen faster without compromise

Independent dual screening, blinding and structured conflict resolution come as standard. Surfaces likely includes earlier, and every decision stays yours and stays recorded.

At full text, exclusion reasons are captured as you work, so your PRISMA numbers and your audit trail build themselves. Reviewers see progress at a glance, and supervisors can see where a review is stuck.

#6 - Maggini 2012

A combination of high-dose vitamin C plus zinc for the common cold.

Vitamin C and zinc play important roles in nutrition, immune defence and maintenance of health. Intake of both is often inadequate, even in affluent populations. The common cold continues to place a great burden on society in terms of suffering and economic loss. After an overview of the literature on the effects of the separate administration of either vitamin C or zinc against the common cold, this article presents data from two preliminary, double-blind, randomized, placebo-controlled trials, conducted with a combination of 1000 mg vitamin C plus 10 mg zinc in patients with the common cold.

NoMaybeYes

Data extraction

Spend less time extracting, more time thinking

Build extraction templates once and reuse them across the team. Suggestions point you to the supporting text in the source, so you verify rather than retype — and you confirm every value that lands in your dataset.

Sponsorship source

Blackmores Ltd
1 quote found

“The project was supported by a grant from Blackmores Ltd, who also provided the study medications.”

View in PDF

Quality assessment

Assess risk of bias in the same workflow

Run risk of bias and quality assessment alongside extraction, with the tool your method calls for, and judgements recorded against every study.

Risk of bias

Sequence generation
Low
Allocation concealment
High
Blinding of participants and personnel
Low

Export

Export your extracted data and your PRISMA report

Your extracted dataset and your PRISMA aligned flow diagram both come out of decisions you have already made, and export for synthesis, submission and peer review.

PRISMA flow diagram

References imported(n = 645)
References removed(n = 344)
Studies screened(n = 301)
Studies excluded(n = 293)
Studies included in review(n = 8)

Why Covidence

Evidence you can defend. At institutional scale.

Rigorous

Purpose-built workflows keep every decision documented and defensible.

Easy to use

Make gold standard review methods easier to learn, navigate and apply.

Trusted AI & automation

Automate where it’s defensible while keeping your team in control.

Research capability

Build lasting capability with training, guidance and expert support.

Institutional scale

Support researchers and teams across every discipline.

One licence

Every discipline. Every review type.

Insights from Covidence

Practical guidance, published evaluations and research from the evidence synthesis specialists behind the platform.

ebook

Responsible AI in evidence synthesis

Understanding the right tool to use when synthesising evidence is critical for the production of credible and impactful knowledge.

Inspired by the knowledge of hundreds of researchers, this guide can help you better understand some of the most commonly used types of literature reviews used in research, the purpose of these reviews and how to choose the right one.

Read online or download as a PDF

Understanding Review Types in Research

From Three Months to One: Rebuilding a Systematic Review with Covidence

Automation (AI) is changing what is possible in evidence synthesis.

Read the case study →

How to justify AI tools to institutions

How do you make an evidence-based case for AI tools at your institution? Explore the questions researchers and decision-makers need answered.

Read the case study →

Beyond evaluation: deciding when AI is appropriate in evidence synthesis

Explore how Covidence’s decision matrix weighs the consequences of errors, human oversight and model performance necessary for trusted AI use.

Read the case study →

For institutions

Build review capability across your institution.

One platform for every team and discipline, expert-led capability building, and the evidence your leadership needs to see where research is getting stronger.

Join the home of trusted evidence.

Rigorous by design. Automated with care.

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