CiteMed vs Covidence: Choosing the Right Literature Review Software for Medical Device Regulation

CiteMed vs Covidence: Which Literature Review Tool Is Right for Regulatory Use?

Covidence and CiteMed’s Evidence Cloud are both widely used tools for supporting literature review workflows, but they are designed for fundamentally different contexts. Covidence supports systematic review processes in academic and university research settings, offering structured workflows for study screening and collaboration. CiteMed’s Evidence Cloud is designed to support regulatory evidence generation for medical devices, integrating clinical evaluation, post-market surveillance, and post-market clinical follow-up within a single connected ecosystem.

While both platforms improve the efficiency of literature reviews, their underlying design reflects distinct use cases. Understanding these differences is essential for medical device manufacturers evaluating which systematic literature review software best fits their requirements under EU MDR and IVDR – and for researchers and students evaluating tools for academic systematic review purposes.

What is a Clinical Evaluation Report?

A Clinical Evaluation Report (CER) is the primary document through which medical device manufacturers demonstrate the safety and performance of their device, as required by the European Medical Device Regulation (MDR 2017/745) and the In Vitro Diagnostic Medical Devices Regulation (IVDR). It synthesises all available clinical evidence – including scientific literature, clinical investigation data, and post-market surveillance findings- to support the benefit-risk evaluation of the subject device.

The preparation of a Clinical Evaluation Report involves four key steps: establishing a Clinical Evaluation Plan (CEP), identifying relevant sources of clinical data, appraising the relevance and scientific validity of that data, and articulating sufficient clinical evidence to meet safety and performance requirements. Under the MDR, the CER must be updated regularly throughout the device lifecycle, particularly when new post-market surveillance or PMCF data becomes available that could affect the evaluation’s conclusions.

A systematic literature review is central to the CER process. According to MEDDEV 2.7/1 Revision 4, the review must identify safety and performance data related to both the clinical background of the condition the device is intended to treat and the subject device itself – including data on equivalent devices where direct clinical investigation data is limited.

What is the EU MDR?

The EU MDR (European Medical Devices Regulation 2017/745) is the regulatory framework governing medical devices placed on the European market. It replaced the previous Medical Device Directive (MDD) and introduced significantly more stringent requirements for clinical evidence, post-market surveillance, and technical documentation. Under the EU MDR, manufacturers must conduct a systematic literature review to identify available clinical data relevant to the device and its intended purpose, as well as any gaps in clinical evidence that may require additional investigation.

The EU MDR applies across all EU member states and the European Economic Area, affecting manufacturers who wish to CE mark their medical devices for sale within these markets. Unlike the FDA framework in the United States, which focuses on premarket approval and 510(k) clearance pathways, the EU MDR places a stronger emphasis on ongoing post-market clinical evidence and lifecycle compliance.

What is Covidence?

Covidence is a web-based systematic review management tool widely used by researchers, review teams, and university institutions conducting structured literature reviews aligned with PRISMA guidelines. The platform is endorsed by Cochrane and forms part of its review production toolkit, making it a recognised tool within academic evidence synthesis workflows.

Key stages of the review process are supported, including literature search management, title and abstract screening, full-text review, duplicate removal, and collaboration between multiple reviewers. The platform allows users to create data extraction forms and generate flow charts automatically, streamlining the literature review process for research papers and systematic reviews. Cloud-based functionality enables multiple reviewers to collaborate concurrently while managing conflicts in the review process – a feature particularly valued by university research teams and students working across institutions.

Covidence is well-suited to academic environments where the objective is synthesising evidence from scientific literature for publication or guideline development. However, it is primarily designed for academic and research applications rather than the full regulatory evidence lifecycle required for clinical evaluation, post-market surveillance, and PMCF activities under EU MDR.

What is CiteMed’s Evidence Cloud?

CiteMed’s Evidence Cloud is a platform designed to support regulatory evidence generation across the medical device lifecycle. Unlike literature review tools focused solely on systematic reviews, it integrates multiple aspects of evidence management — including clinical evaluation, post-market surveillance (PMS), and post-market clinical follow-up (PMCF) — within a single environment.

The platform brings together literature review workflows with broader regulatory functions, enabling medical device manufacturers to manage evidence, track decisions, and generate structured outputs aligned with regulatory expectations. This includes Clinical Evaluation Reports (CERs), PMCF documentation, and ongoing evidence updates required throughout the device lifecycle.

A key feature is the emphasis on traceability, with workflows designed to maintain a continuous and traceable audit trail across the evidence lifecycle. This is particularly relevant in regulatory contexts where documentation transparency and inspection readiness are critical. Evidence Cloud is designed to support organisations operating within regulatory frameworks, where literature review forms part of a continuous evidence lifecycle — not a standalone, one-time activity.

Why Medical Device Manufacturers Look for Covidence Alternatives

As regulatory expectations under EU MDR continue to evolve, medical device manufacturers increasingly find that academic systematic review tools are insufficient for regulatory evidence management. Several specific limitations drive this search for alternatives.

Limited alignment with regulatory workflows

Covidence supports systematic reviews for research and publication. Regulatory activities such as clinical evaluation, post-market surveillance, and PMCF require additional documentation, traceability, and structured reporting aligned with specific guidance documents such as MEDDEV 2.7/1 Revision 4 and MDCG guidance. Manufacturers need tools that reflect how regulatory workflows are executed in practice — including the ability to manage state-of-the-art analysis, equivalent device assessments, and clinical background reviews within a single system.

Fragmented evidence management

In most regulatory workflows, literature review is only one component of a larger process. Teams relying on standalone tools must coordinate across multiple systems to manage literature searches, reference data, surveillance activities, and reporting outputs. This fragmentation increases the risk of inconsistencies in documentation and gaps in traceability across interconnected regulatory outputs — particularly when the same information must be maintained and updated across CERs, PMS reports, and PMCF documentation.

Static review model versus ongoing evaluation

Systematic review tools are designed for discrete review projects with a defined start and end point. Regulatory evidence generation under EU MDR is a continuous process — literature reviews must be updated regularly as new clinical data, research papers, and post-market surveillance findings emerge. Manufacturers managing ongoing clinical evaluation activities need solutions that support continuous evidence monitoring rather than one-time review cycles.

Limited end-to-end traceability

Regulatory environments require clear documentation of search protocols, search terms, inclusion and exclusion criteria, and evidence interpretation across the full product lifecycle. While systematic review tools support transparency within individual review workflows, they do not provide full traceability across interconnected regulatory activities — a gap that becomes critical during Notified Body assessments and conformity audits.

CiteMed vs Covidence: Key Differences

Other Literature Review Tools Worth Knowing

Several other tools are widely used for systematic reviews in academic and research contexts. Mendeley is a popular reference manager that allows users to organise research papers, annotate PDFs, and add notes — making it useful for managing citations and building reference libraries. ResearchRabbit is an AI tool that helps researchers discover related articles and visualise connections between papers, enhancing the literature review process for researchers and students.

Rayyan offers a free tier with basic screening and collaboration features, widely used in university settings for systematic reviews. Newer tools increasingly use AI for accelerating search and data extraction, with AI integration helping to rank relevant articles higher and significantly accelerating the screening process. Google Scholar remains a valuable free database for identifying scientific literature and research papers, particularly in early-stage searches.

For medical device manufacturers, however, the relevant consideration is not only efficiency but regulatory alignment. Tools designed for academic research – including Covidence, Rayyan, and Mendeley – do not support the full regulatory evidence lifecycle required under EU MDR.

Where Each Approach Works Best

Covidence is well-suited to university research environments and academic institutions where the primary objective is conducting structured systematic reviews for publication or guideline development. Its endorsement by Cochrane and alignment with PRISMA standards make it a strong choice for researchers and students conducting evidence synthesis in non-regulatory contexts.

CiteMed’s Evidence Cloud is better aligned with medical device manufacturers operating under EU MDR and IVDR, where literature review forms part of a broader, interconnected regulatory evidence framework. This includes manufacturers preparing Clinical Evaluation Reports, managing post-market surveillance programmes, conducting state-of-the-art analyses, and assessing equivalent device data — all of which require continuous evidence management and full traceability across regulatory outputs.

Conclusion

The choice between Covidence and CiteMed’s Evidence Cloud reflects a broader decision about how literature review fits within an organisation’s evidence management needs. Covidence provides a structured and efficient approach to systematic reviews in academic contexts. For medical device manufacturers operating under EU MDR, where literature review must connect directly to clinical evaluation, post-market surveillance, and ongoing regulatory reporting, a more integrated solution is necessary.

If you are evaluating systematic literature review software for regulatory use and want to understand which approach best fits your requirements, Citemeds can help. Get in touch to discuss your needs.

Frequently Asked Questions

What is a clinical evaluation report under EU MDR?

A Clinical Evaluation Report (CER) is the primary document through which medical device manufacturers demonstrate the safety and performance of their subject device under EU MDR 2017/745. It synthesises clinical evidence from scientific literature, clinical investigation data, and post-market surveillance findings into a structured benefit-risk evaluation. The CER must be updated regularly throughout the device lifecycle and is subject to review by Notified Bodies during conformity assessment.

How do you write a clinical evaluation report?

Writing a Clinical Evaluation Report involves four key stages. First, establish a Clinical Evaluation Plan that defines the scope, intended purpose, and search protocol for the review. Second, identify relevant sources of clinical data — including scientific literature from databases such as PubMed, Embase, and Google Scholar, clinical investigation data, and equivalent device data. Third, appraise the relevance, scientific validity, and quality of identified data using structured appraisal frameworks. Fourth, synthesise the evidence into a clinical evaluation that demonstrates the subject device meets safety and performance requirements under EU MDR.

What is clinical evaluation in medical devices?

Clinical evaluation is the structured process by which medical device manufacturers assess and analyse clinical data to verify that their device meets the general safety and performance requirements of EU MDR. It encompasses literature review, clinical investigation, post-market surveillance, and post-market clinical follow-up — all of which must be documented in the Clinical Evaluation Report and maintained throughout the device lifecycle.

What is the EU MDR?

The EU MDR (European Medical Devices Regulation 2017/745) is the regulatory framework governing medical devices placed on the European market. It applies across EU member states and the European Economic Area and requires manufacturers to demonstrate ongoing safety and performance through continuous clinical evidence generation, post-market surveillance, and regular updates to technical documentation, including the Clinical Evaluation Report.

What is the difference between ISO 13485 and EU MDR?

ISO 13485 is an international standard for quality management systems in medical device organisations. It defines the processes and controls manufacturers should have in place to consistently produce safe and effective devices. The EU MDR is a regulatory regulation that sets the legal requirements for placing medical devices on the European market, including clinical evidence, technical documentation, and post-market surveillance obligations. Compliance with ISO 13485 supports EU MDR compliance but does not replace it — manufacturers must meet both.

What is the difference between the FDA and EU MDR?

The FDA regulates medical devices in the United States through pathways such as 510(k) clearance and premarket approval (PMA). The EU MDR governs medical devices in Europe and places a stronger emphasis on ongoing clinical evidence, post-market surveillance, and lifecycle compliance. Key differences include the EU MDR’s requirement for Notified Body involvement for most device classes, more stringent clinical evidence standards, and mandatory periodic updates to Clinical Evaluation Reports.

Which tool is best for literature review in medical devices?

The best tool depends on the context. For academic systematic reviews, Covidence, Rayyan, and Mendeley are widely used. For medical device manufacturers under EU MDR, tools that integrate literature review with clinical evaluation, post-market surveillance, and PMCF — such as CiteMed’s Evidence Cloud — are better aligned with regulatory compliance requirements. The key differentiator is whether the tool supports a continuous, traceable evidence lifecycle or only discrete review projects.

What are the 7 search strategy techniques?

The seven key search strategy techniques for systematic literature reviews are: defining a structured research question using frameworks such as PICO; selecting appropriate databases including PubMed, Embase, and Google Scholar; developing comprehensive search terms and Boolean operators; applying date and language filters; documenting the search protocol including inclusion and exclusion criteria; conducting title and abstract screening; and performing full-text review of shortlisted articles. In medical device regulatory contexts, all stages must be documented in a traceable search protocol aligned with MEDDEV 2.7/1 Revision 4.

What are the 5 C’s of literature review?

The 5 C’s of literature review are Cite, Compare, Contrast, Critique, and Connect. In medical device regulatory contexts these translate directly into practice — citing relevant clinical data from multiple databases, comparing evidence across equivalent devices, contrasting favourable and unfavourable findings from scientific literature, critically appraising study quality and scientific validity, and connecting evidence to specific safety and performance claims within the Clinical Evaluation Report.

Can ChatGPT do a literature review?

ChatGPT can assist with drafting, summarising, and structuring content but is not suitable as the primary tool for regulatory literature reviews. It lacks access to live databases, cannot conduct systematic literature searches across PubMed or Embase, and does not produce the traceable, reproducible outputs required under EU MDR. In regulated environments, AI tools should support efficiency within a structured, expert-led review process — not replace the clinical and regulatory expertise that submissions require.

Is Rayyan or Covidence better?

Both Rayyan and Covidence are designed for academic systematic reviews. Rayyan offers a free tier with basic screening features, while Covidence provides more structured workflows endorsed by Cochrane. Neither is specifically designed for medical device regulatory contexts. For manufacturers under EU MDR, platforms built for regulatory evidence generation — such as CiteMed’s Evidence Cloud — are better aligned with compliance requirements including state of the art analysis, equivalent device assessment, and continuous post-market surveillance integration.