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Clinical Evaluation Report

The clinical evaluation report (CER) is an official document that is that medical device manufacturers must submit to that wish to sell or distribute their products in Europe. The CER offers a comprehensive description of the medical device's composition and design, uses and their applications, as well as the analysis of clinical trials and their outcomes as well as relevant reviews of literature as well as protocols and guidelines to use.

FDA 510 (K)

The term "510(K") refers to a 510(K) is an application for premarket approval submitted to FDA to prove that the product to be advertised is secure and efficient, and is, in a significant way, similar to a device that is legally marketed (section 513(i)(1)(A) FD&C Act) which doesn't require approval prior to its premarket.


GMP Certificate

The Good Manufacturing Practices (GMP) certification scheme offers independent verification and certifies that the most fundamental manufacturing practices and the prerequisites to establish an efficient Hazard Analyzing Critical Control Point (HACCP) program for food safety are followed.

 Sources of pertinent data used in a clinical evaluation 

In the clinical evaluation report of medical device. A/c to MEDDEV 2.7/1 guidance, in stage 1 clinical evaluation covers Data generated and held by the manufacturer and data retrieved from the literature. Data relevant to the clinical evaluation may be held by the manufacturer or a third party (The responsible person who does the investigation of i.e., Appointed doctor or labs who did bench tests and biocompatibility tests), or be available in the scientific literature, for the device in question or for comparable devices. The manufacturer is responsible for identifying data relevant to the medical device. 

1.    Data generated and held by the manufacturer

Pre-clinical data (e.g., lab testing), pre-market clinical trials, risk management, and PMS are all included in data retrieve by the manufacture. The CER should summarize, appraise, analyse, and reference all data, not just those generated in Europe but also the data from other countries such as FDA, MHRA etc. Risk management and PMS reports are typically large documents that include documentation of quality control reports, complaints, sales numbers, and data from external databases. 

Sources of data in data generated and held by the manufacturer

All pre-clinical safety reports, such as bench test reports, involve verification and testing data as well as clinical data generated by risk management activities and PMS programs is comes under data generated and held by the manufacturer. If a manufacturer decides to use clinical experience data, it is critical that any reports or data collection contain enough information to conduct a systematic and logical assessment of the data and reach a conclusion about its significance in terms of the device's safety, and clinical performance, and/or effectiveness. The manufacturer collects post-market surveillance reports, which frequently include information about the medical device's regulatory status, regulatory actions taken during the reporting period, a list of adverse events, and estimates of the frequency of adverse events.

These reports of data analyses may provide reasonable assurance of safety, clinical performance, and/or effectiveness for some medical devices. A report concludes, device-related adverse events, with comments on whether reported device-related adverse events are predictable based on the medical device's mode of action, may be useful. Risks discovered that were not previously included in the risk management documentation must be addressed, along with the additional management that is required.

Want to know about clinical evaluation process? Check out this article about clinical evaluation process step by step.

2.    Data generated through literature searching 

Literature searching can be used to identify published clinical data that is not in the manufacturer's control and could help the manufacturer establish acceptable safety, clinical performance, and/or effectiveness of a medical device. The data collected from literature searches may be directly relevant to the device under consideration, such as reports of third-party clinical research of the device under consideration, or adverse event reports. For some medical devices, clinical data derived from literature searches will provide the vast information of clinical evidence. Thus, reasonable attempts should be made to perform a thorough search while doing a literature review. Published data must be evaluated in terms of its potential contribution and weighting in determining both the performance and safety of the device in question. The key elements of a literature search approach should be well-constructed review questions. Review questions about safety, performance, intended purpose, side effects, state of the art, alternative availability, and risks (clinical). A process for identifying, selecting, and compiling relevant articles to address these concerns should be defined. This should be prepared and carried out by people who are knowledgeable with information retrieval while considering the manufacturer's clinical evaluation scope. The literature search protocol should include the data sources that will be used and a justification for their selection, a good databases platform for a good result.

Following the completion of the literature search, a report should be prepared to describe the results of the search.

Source of data 

Scientific databases such as PubMed, Medline, Cochrane library, EMBASE, PDQ evidence, PMC evidence, trip, and so on are some of the sources of data used in literature searches. Google Scholar, company websites, and the FDA are the most common places to look for information on the internet. Information from instructions for use, implant registries, and data presented at convention are examples of non-published data. By forming keywords related to each of the review questions, the search is carried out across various sources.

It is concluded that data from manufacturers can help to determine whether any reported device-related adverse events can be predicted based on the medical device's mode of action. If so, then it might be possible to reduce the risks of any adverse events that may occur. And some other risks that were not previously included in the risk management documents also, will be identified. Whereas data obtained through literature searches helps in the identification of residual risks, performance, and adverse events by comparing the subject medical device to other similar or equivalent devices that are already placed in the market to ensure safety, performance, and ease of use and to help the subject device to become as safe as possible.