MDCG 2022-2: Clinical Evidence for IVDs Under the IVDR

Introduction

MDCG 2022-2 is the document that tells you what the IVDR means by clinical evidence. The Regulation itself spreads the concept across Article 56, Annex XIII and Annex I, and never assembles it in one place. The guidance does that assembly, and in doing so it settles several questions that manufacturers had been answering differently from one another.

It is not a long document — thirty-one pages including two appendices — and most of the commentary written about it summarises the purpose section and stops. That is a missed opportunity, because the useful material is further in: the eight elements an intended purpose statement has to contain, the eighteen factors that shape a performance evaluation plan, the chain of events that turns a wrong result into patient harm, and a table in Appendix II that tells you how often each document has to be updated for each device class.

This guide walks the guidance in the order the work actually happens. It assumes you are familiar with the structure of the Regulation; if you are not, our guide to what Regulation (EU) 2017/746 requires covers qualification, classification and the conformity assessment routes first.

Table of Contents

What MDCG 2022-2 is, and what it deliberately leaves out

MDCG 2022-2 was endorsed by the Medical Device Coordination Group in January 2022. It is guidance: not legally binding, expressly not a Commission document, and only the Court of Justice can give binding interpretations of Union law. In practice this distinction matters less than it sounds, because Notified Bodies assess against it and manufacturers who depart from it are asked to justify the departure.

It applies to every product meeting the IVD definition in Article 2(2), and to accessories, since accessories fall within the scope of the Regulation. Specimen receptacles are included. Four categories are outside it, because Article 1(3) puts them outside the Regulation: general laboratory or research-use-only products, unless the manufacturer specifically intends them for in vitro diagnostic examination; invasive sampling products and products applied directly to the body to obtain a specimen; internationally certified reference materials; and materials used in external quality assessment schemes.

Three exclusions are more important than they look, because manufacturers regularly go to MDCG 2022-2 expecting to find them covered:

Not covered by MDCG 2022-2Where it is covered instead
Performance studies in detail — when an application is required, what the routes are, which Member State receives the submissionMDCG 2025-5, and Articles 57 to 77 of the Regulation. See our guide to what MDCG 2025-5 settles.
Equivalence in detailThe Regulation itself is nearly silent on equivalence for IVDs. MDCG 2022-2 confirms it is permitted and that a justification must be provided, but the handling has to be defined in the manufacturer's own QMS under Annex IX 2.2(c).
In-house devicesArticle 5(5). Health institutions manufacturing for their own use follow a separate regime entirely.

The equivalence point is the one that catches people. The guidance permits data from equivalent devices and requires a justification, but it gives no criteria for what makes two IVDs equivalent. That gap is yours to fill in the quality management system, and a reviewer will ask to see the procedure that fills it.

The three pillars that make up clinical evidence

Clinical evidence for an IVD is what comes out of the performance evaluation. The performance evaluation is the assessment and analysis of data establishing three things, and the Regulation treats them as separate demonstrations rather than as one body of proof.

Three separate demonstrations, three separate reports SCIENTIFIC VALIDITY Is the analyte associated with the clinical condition? About the analyte, not about your device ANALYTICAL PERFORMANCE Does the device detect or measure the analyte correctly? As a rule, demonstrated by studies, not literature CLINICAL PERFORMANCE Do the results correlate with the condition, in the target population, with the intended user? The only one that can be omitted PERFORMANCE EVALUATION REPORT where the three are weighed against the benefit-risk
Figure 1 — The three pillars of clinical evidence and where they converge

The distinction that gets lost most often is the first one. Scientific validity is a statement about the analyte, not about your product. If the association between the marker and the condition is well established in the literature, the demonstration can rest on published sources — peer-reviewed papers, textbooks, historical data, expert consensus positions. Your device does not enter into it. Analytical and clinical performance are the opposite: they are statements about your device specifically, and published literature about other devices supports them only indirectly.

The intended purpose statement drives everything else

Article 56(1) requires the manufacturer to specify and justify the level of clinical evidence in view of the device characteristics and its intended purpose. MDCG 2022-2 draws the obvious consequence: the intended purpose statement is the key driver of the whole assessment, and a vague one makes the rest of the evaluation unassessable.

Annex I, section 20.4.1(c) lists what the statement has to contain. Eight elements, all of which should appear in the instructions for use:

#ElementWhat a reviewer looks for
1What is detected or measuredThe analyte or marker, named precisely enough to be unambiguous
2The functionScreening, monitoring, diagnosis, aid to diagnosis, prognosis, prediction, or companion diagnostic — these are not interchangeable and each carries a different evidence burden
3The specific information providedWhich of the six purposes in Article 2(2) the result serves
4Automated or notStated explicitly
5Qualitative, semi-quantitative or quantitativeDetermines which analytical performance indicators apply
6The specimen type or typesEvery claimed specimen type has to be supported by data — this is where scope creep in the IFU becomes a gap in the file
7The testing population, where applicableDefines the population the clinical performance has to be shown in
8For companion diagnostics, the INN of the associated medicinal productNot the brand name

The guidance adds a point that is easy to miss and expensive to get wrong. Where an analyte is relevant across several conditions rather than diagnostic for one, the intended purpose should be framed at the level the device actually serves — as a marker of inflammation, for instance, rather than as a test for the specific causes of inflammation. The broader clinical contexts then belong in the scientific validity section and in the explanatory parts of the IFU, not in the intended purpose statement. Framing the purpose too narrowly creates evidence obligations you did not intend to take on; framing it too broadly creates obligations you cannot meet.

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The performance evaluation process — four phases

Article 56 and Annex XIII Part A set out the process. MDCG 2022-2 summarises it in four phases, and the value of the summary is that it makes the sequence explicit — several of the failures Notified Bodies find are sequencing failures rather than content failures.

PhaseWhat happensThe sequencing failure to avoid
1. PlanningEstablish and maintain the Performance Evaluation Plan; identify the approach and the steps needed to generate the evidence, given the device characteristics and intended purposeA PEP written after the studies, to describe what was done. The plan has to precede the data it plans for, and its date shows whether it did
2. Data establishmentIdentify and evaluate available data for suitability and relevance; identify what additional data is needed and where the gaps are; generate what is missingSkipping the gap analysis. The guidance treats the identification of gaps as a distinct step, and a file with no record of it looks like a file where nothing was looked for
3. Analysis and documentationAnalyse and document scientific validity, analytical performance and clinical performance data; draw conclusions in the PER; draw up the Summary of Safety and Performance for Class C and DA PER that collates rather than assesses. The Regulation asks for conclusions, and a document that restates the reports without weighing them has not performed the evaluation
4. Continuous monitoring and updateUpdate the PER, the SSP and the associated documentation across the lifecycle, using PMPF data and a continuous assessment of the state of the artTreating the PER as a submission artefact. Appendix II sets minimum frequencies, and for Class C and D the PER is an annual document

Which documents the process produces, and where each one sits

This is the part manufacturers most often get structurally wrong, because the Regulation names the documents in different places and MDCG 2022-2 does not tabulate them. The set is as follows.

DocumentBasisRequired forNote
Performance Evaluation Plan (PEP)Annex XIII Part A 1All devicesMust identify the applicable GSPRs explicitly and include a benefit-risk assessment with pre-determined acceptability thresholds. The literature search protocol is part of the PEP, not a separate deliverable
Scientific validity reportAnnex XIII Part AAll devicesFor software, demonstrated for each device that provides information on a clinical condition or physiological state
Analytical performance reportAnnex XIII Part AAll devicesAs a general rule supported by analytical performance studies; routine-testing experience is supportive only
Clinical performance reportAnnex XIII Part AMost devicesCan be omitted with due justification for certain devices — see below
Performance Evaluation Report (PER)Article 56, Annex XIIIAll devicesThe assessment document. Also has to reflect testing done purely to demonstrate GSPR compliance — electrical safety, EMC — even though such testing is neither an analytical nor a clinical performance study
Summary of Safety and Performance (SSP)Article 29Class C and D onlyValidated by the Notified Body and made public in EUDAMED
PMPF plan and PMPF reportAnnex XIII Part BAll devices, unless justifiedThe PMPF plan sits inside both the PMS plan and the PEP. If PMPF is not appropriate, the justification goes in the PER
Plans on the left, reports on the right, and the loop that never closes Performance Evaluation Plan Annex XIII Part A 1 Scientific validity report Analytical performance report Clinical performance report Performance Evaluation Report Article 56 · the assessment Summary of Safety and Performance Class C and D only · Article 29 · public in EUDAMED Post-Market Surveillance Plan Annex III · contains the PMPF plan the PEP also contains PMPF planning PMPF report Annex XIII Part B the PMPF report feeds back into the performance evaluation — Annex XIII Part B 7 Risk management runs alongside all of it New risks, or changes, alter the evidence needed — and the performance evaluation has to be revisited before the change is implemented
Figure 2 — The flow of plans and reports in a continuous performance evaluation

Risk management: the hazard is the result, not the malfunction

Section 6.2 of the guidance is the part that manufacturers coming from the medical device side find most unfamiliar, and it is the most useful section in the document.

The observation it starts from is that in the majority of cases a deficiency in an IVD does not directly injure anyone. The device does not deliver energy, does not enter the body, does not fail mechanically in a way that harms the patient. Where harm occurs, it is indirect: it arrives through a clinical decision taken, or not taken, on the strength of an incorrect, delayed, absent or unclear result.

This changes what a hazard is. In an IVD risk file the hazard is not a component failure. It is the wrong answer.

Harm from an IVD is indirect — it travels through a clinical decision EVENT OR DEFECT Reagent degraded, cross-reaction, barcode error HAZARD Wrong result, delayed result, no result, unclear result HAZARDOUS SITUATION The clinician or lay user receives that result CLINICAL EVENT Result accepted or questioned; treated or not HARM From minor inconvenience to death Manufacturer risk control measures act on this half of the chain Clinical risk control measures act on this half — and are outside your control The consequence for the risk file Probability of harm is the probability of the hazardous situation multiplied by the probability that it leads to harm. The second factor depends on clinical practice, not on your device — and it still has to be estimated and justified.
Figure 3 — How an IVD deficiency becomes patient harm

Two practical consequences follow, and both show up in review.

The first is that the risk analysis has to reflect the clinical use and the medical purpose, not only the technical failure modes. A hazard analysis built entirely from component and process failures has skipped the half of the chain where the severity is decided. The same defect — a degraded reagent — carries a different severity depending on whether the result feeds an asymptomatic screening decision or an emergency one.

The second is that the probability of harm has two components, and the second is not in your hands: the probability that the hazardous situation occurs, and the probability that it goes on to cause harm given clinical practice. A result questioned against the patient's signs and symptoms does not cause harm; the same result accepted at face value does. You still have to estimate that second probability and record the basis for the estimate.

The guidance also reminds manufacturers not to forget the direct risks that do exist — chemical, electrical, electromagnetic and mechanical exposure of users and maintenance personnel. These are a smaller part of an IVD risk file, but they are the part most often missing entirely. The process itself is unchanged from the medical device side; our guide to ISO 14971 risk management covers the mechanics that carry across.

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The Performance Evaluation Plan and its eighteen inputs

The guidance lists the factors a manufacturer should take into account when designing the PEP. The list is explicitly non-exhaustive, but it is the closest thing available to a checklist, and a PEP that visibly addresses each one is difficult to fault on scope.

GroupFactors
The claimThe intended purpose, including the specific disorder, condition or risk factor to be detected, defined or differentiated · the intended users · the target population · the disease states
The scienceThe scientific validity of the analyte · the specification of methods · the assay technology · the state of the art
The noveltyThe novelty and degree of innovation · availability of Common Specifications · availability of certified reference materials or certified reference methods
The population and the statisticsThe degree of variability of the study subject population · the prevalence of the clinical state
The riskThe risk to the patient from an incorrect or delayed result · the device classification
The practicalitiesThe stability of specimens and reagents

Two requirements sit inside the PEP that are frequently placed elsewhere or omitted. The applicable GSPRs have to be identified and specified within the plan itself — not only in the GSPR checklist. And the benefit-risk assessment belongs in the PEP, with pre-determined thresholds and criteria, because the point of setting thresholds in advance is that they were set before the data arrived.

A third is easy to miss: the literature search protocol is part of the PEP. It is not a standalone deliverable, and its results are embedded in the relevant reports rather than in a document of their own.

Scientific validity — and the literature search that supports it

Scientific validity has to be demonstrated and documented for every device. Where the association between analyte and condition is well established, existing sources will carry it: appraised literature, peer-reviewed data, published clinical data including Summaries of Safety and Performance and authority registries, information on the scientific validity of devices measuring the same analyte, proof-of-concept studies, and consensus positions from professional associations.

Where the evidence does not exist, is insufficient, or the device is novel — a new analyte, a new intended purpose — a scientific rationale and new data are required. The guidance asks for a gap analysis to determine what additional evidence is needed, and that gap analysis is a document a reviewer will look for.

On the literature search itself, MDCG 2022-2 sets three expectations, and they are stricter than the practice they replaced:

  1. Define the search protocol before retrieval begins. The strategy must be thorough and objective, meaning it has to be capable of surfacing unfavourable data as well as favourable data. A protocol that only finds supportive papers is not an objective protocol.
  2. Run several searches with consolidated and relevant criteria, rather than one broad search.
  3. Document so the work can be criticised. The methods have to be appraisable, the results verifiable, and the searches reproducible.

Reproducibility is the operative word. A search that cannot be re-run — because the database, the date, the string or the filters were not recorded — fails the third expectation regardless of how good the conclusions are. This is the most common single deficiency in scientific validity documentation.

Two structural points close the section. For devices intended to be used together — a reagent with its calibrators and controls — it may be more appropriate to establish scientific validity for the combination rather than for each component. And an instrument with an independent measuring function that uses no additional reagents still requires scientific validity unless a justification is given.

Analytical performance and its indicators

Analytical performance is the evidence that the device reliably, accurately and consistently measures or detects the analyte. The general rule is that it is demonstrated by analytical performance studies. Published experience from routine diagnostic testing can support the demonstration but does not replace it.

The indicators are largely common across IVDs, and the applicable set depends on the assay technology and the use environment. Annex I section 9.1 and Annex II section 6.1 list them; not all apply to every device, and MDCG 2022-2 is explicit that omissions are acceptable provided they are outlined and justified.

FamilyIndicators
Analytical sensitivityLimit of blank, limit of detection, limit of quantitation
Measuring rangeLinearity; measuring interval, with the limit of quantitation as lower bound and linearity as upper bound
Analytical specificityTesting against interferents and cross-reacting substances in the presence of other substances or agents in the specimen
AccuracyTrueness of measurement; precision, broken down into repeatability, intermediate precision and reproducibility
System behaviourCarryover and cross contamination; instrument comparison; cut-off values; use environment; stability
For IVD softwareConfidentiality; integrity; reliability; generalisability; expected data rate or quality; usability engineering

The specimen requirements deserve separate attention because they are where the file and the IFU most often diverge. Every specimen type and every sampling condition named in the intended purpose has to be assessed and demonstrated. Where relevant, that extends to the collection devices, the storage conditions and the transport conditions. The analytical performance report has to state the timeframe between collection, storage and analysis — duration, temperature limits, permitted freeze-thaw cycles — and this matters most for assays with time-critical analysis.

Clinical performance, and when it is not required

Clinical performance is the ability of the device to produce results correlated with a clinical condition or a physiological or pathological state, in the target population and with the intended user. The demonstration has to cover the intended uses, the target populations, the use conditions, the operating and use environments, and all the intended user groups.

The characteristics used to express it depend heavily on the intended purpose and the claims. The guidance lists diagnostic sensitivity and specificity, positive and negative predictive value, positive and negative likelihood ratios, odds ratio, number needed to treat or diagnose, number needed to harm or misdiagnose, and usability or user interface performance. Others may be added where the manufacturer judges them applicable.

Statistical relevance is required, not optional: confidence intervals, and an interpretation of what the robustness of the result means for the intended purpose. A point estimate without an interval is not a demonstration.

There are two carve-outs worth knowing:

  • Some devices do not need clinical performance data at all. Article 2(39) makes clinical performance part of device performance only where applicable. Non-sterile specimen receptacles, microscopy glass slides and some general reagents are the examples given. Where the omission is duly justified, a clinical performance report is not expected — but the rest of the performance evaluation still is.
  • Multi-indication markers do not need a study per indication. Where a marker is not specific to one condition but is adequately established by scientific validity across several clinical settings, separate clinical studies for each setting are not expected.

Clinical performance studies and ISO 20916

A clinical performance study becomes necessary when compliance with the relevant GSPRs on clinical performance cannot be established from scientific validity, analytical performance studies, literature, routine diagnostic testing experience or other performance studies. It is the last resort in a defined order, not the default.

When one is needed, MDCG 2022-2 points to a specific standard: studies should be conducted in line with well-established international guidance, and it names ISO 20916 on clinical performance studies using specimens from human subjects — regardless of the classification of the device, unless a justification is given under Annex XIII 1.2.3. Manufacturers of Class A and B devices sometimes assume the standard applies only higher up the classification scale. It does not.

Two further points carry practical weight:

The Clinical Performance Study Plan has to define the rationale, objectives, design, proposed analysis, methodology, monitoring, conduct and record-keeping, under Annex XIII 2.3.2. Where personal data is processed, the plan is also where the manufacturer states how the General Data Protection Regulation requirements are met within the data management process.

Studies conducted under the old In Vitro Diagnostic Directive do not meet the requirements of Annex XIII 2.3, and are therefore treated as other sources of clinical performance data under Annex XIII 1.2.3 — not as clinical performance studies. Their quality and completeness have to be assessed for gaps, and they need support from literature or from published routine-testing experience. This is one of the most consequential sentences in the guidance for any manufacturer transitioning a legacy portfolio.

Certain studies carry additional obligations — those requiring surgically invasive sample-taking solely for the study, interventional clinical performance studies, and studies involving additional invasive procedures or other risks for subjects. What those obligations are, and which route each study falls into, is the subject of a separate guidance: see our guide to MDCG 2025-5 and Article 57.

The Performance Evaluation Report and the appraisal questions

The PER is where the manufacturer compiles the evidence, determines the benefit-risk and documents the conclusion. It has to assess all relevant scientific validity, analytical and clinical performance data against the applicable GSPRs of Annex I. Studies other than clinical performance studies — analytical performance studies, PMPF studies — are documented by analogy and reflected in the PER.

Six considerations frame the assessment: the intended users; the state of the art; the nature, severity and evolution of the condition being diagnosed or treated; the adequacy of the risk estimation for each identified hazard; the number and severity of adverse events; and the availability of alternative diagnostic devices and the current standard of care.

Section 6.8 then offers a list of questions to guide the assessment. Treated as a self-check before the file goes to the Notified Body, they are the most useful page in the document. Condensed:

The questionWhat a weak file looks like
Does the data support the intended purpose, users, indications, specifications, target groups, claims and the relevant GSPRs?A claim in the IFU with no corresponding evidence anywhere in the file
Has the novelty and market history been evaluated?A novel analyte treated as though the association were established
Have risks been identified and mitigated, and the effectiveness of the controls verified?Risk controls listed, verification of their effectiveness absent
Have environmental, interference, exogenous and endogenous factors been evaluated?Interference testing limited to a standard panel with no device-specific rationale
Has the quality of the retrieved literature been evaluated, with a rationale for the selection?A reference list with no appraisal step and no inclusion criteria
Were there enough observations, and was the statistical approach including sample size appropriate?A sample size chosen by convenience and justified after the fact
Have limitations been justified, and have all omissions been outlined and justified?Silent omissions — the indicator simply absent, with no statement that it was considered
Has each data set been weighted according to systematic criteria?All sources treated as equivalent regardless of quality
Is all supporting data traceable, documented and integrity-assured?Conclusions that cannot be traced back to a specific dataset
Have deviations from and planned changes to the PEP been justified?A PEP that no longer matches what was done, with no change record

Continuous update: PMS, PMPF and Appendix II

Performance evaluation is a continuous process. The obligation is not to keep the file current in a general sense but to run a defined process that detects when it stops being current: monitoring the state of the art, complaints, PMPF data, direct user feedback, newly published research, new guidance, new harmonised standards.

The guidance is specific about one trigger that manufacturers underestimate. Changes to the intended purpose, the product design, the characteristics or the technology require the clinical evidence to be updated or re-established before the change is implemented, not after it. A change control process that treats the performance evaluation as a downstream document has the sequence wrong.

For assays where the target can shift — the emergence of mutated strains not detected by a specific assay is the example given — PMS planning is what detects the shift. PMPF is required to confirm that safety, performance and clinical evidence hold across the expected lifetime and that the benefit-risk ratio remains acceptable. It can be justified as not required in some cases under Annex III 1(b) and Annex XIII Part B 8, and where it is, the justification belongs in the PER.

Appendix II sets the minimum update frequencies. It is the one page of the guidance that translates directly into a documentation calendar.

ClassDocumentMinimum frequencyBasis
AllPerformance evaluation and associated documentationContinuously through the product lifetime, driven by PMS and PMPF inputArticle 56(6)
AllPost-market surveillance planAs necessaryArticle 79
AllPMPFContinuously through the product lifetime, based on PMS plan input; as necessary unless specifically justifiedAnnex XIII Part B
A and BPerformance Evaluation ReportContinuously, based on PMS and PMPF input; as necessary and as defined in the PMS planArticle 56(6)
A and BPost-market surveillance reportWhen necessary; available to the Notified Body and competent authority on requestArticle 80
C and DPerformance Evaluation ReportAs necessary and at least annuallyArticle 56(6)
C and DPeriodic Safety Update ReportAt least annuallyArticle 81(1)
C and DSummary of Safety and PerformanceAs soon as possible, where necessaryArticles 29 and 56(6)
What changes at Class C CLASS A AND B PER updated as necessary, per the PMS plan PMS report when necessary, on request No PSUR No Summary of Safety and Performance The cadence is yours to define — and to defend CLASS C AND D PER at least annually PSUR at least annually Summary of Safety and Performance required SSP validated by the NB, published in EUDAMED A fixed annual cycle, plus a public document
Figure 4 — Minimum update frequencies by device class

Where MDCG 2022-2 stops and the other documents begin

MDCG 2022-2 is the general principles document. It is frequently read as though it were the complete answer on IVD clinical evidence, and it is not. Four documents divide the territory:

DocumentWhat it governsRead it when
MDCG 2022-2The principles: what clinical evidence is, the three pillars, the PEP and PER, the role of risk management, the continuous updateYou are designing the performance evaluation
MDCG 2025-5Performance studies: what counts as one, which route it follows, whether an application or a notification is required, which Member State receives itYou have concluded that a study is needed. See our guide to MDCG 2025-5
ISO 20916How the study is conducted: good study practice for clinical performance studies using specimens from human subjectsThe study is going ahead. See our guide to ISO 20916
MDCG 2025-10Post-market surveillance under the IVDR, in the detail Annex III does not provideYou are building the PMS system the continuous update depends on. See our guide to MDCG 2025-10

For IVD software specifically, MDCG 2022-2 should be read alongside MDCG 2020-1 on performance evaluation of medical device software, which covers how clinical evidence is established for software.

Where all of this lands physically is Annex II Section 6 of the technical file, with the post-market documentation in Annex III alongside — our guide to IVDR technical documentation section by section covers the placement.

What Notified Bodies raise most often

Across IVDR performance evaluation files, a small number of deficiencies account for most of the findings. All of them are visible against MDCG 2022-2 itself.

The intended purpose does not contain all eight elements. Usually the missing ones are the testing population and the explicit statement of whether the device is qualitative, semi-quantitative or quantitative. Because everything downstream is assessed against the intended purpose, this finding tends to bring others with it.

Scientific validity is asserted rather than demonstrated. A handful of references, no search protocol, no appraisal criteria, no gap analysis. The association may well be established; the file has not shown that the manufacturer established it.

The literature search cannot be reproduced. No databases, no dates, no strings, no inclusion and exclusion criteria. This fails the third of the three expectations in section 6.4 directly.

Analytical performance omissions are silent. An indicator that does not apply is fine; an indicator that is simply absent is a finding. The guidance requires omissions to be outlined and justified, which means the file has to say what was considered and why it was set aside.

The specimen types claimed exceed the specimen types tested. The IFU names a specimen type the analytical performance report never assessed. This is one of the fastest findings to raise and one of the most expensive to close, because it usually requires new data.

The risk file has no clinical dimension. Hazards expressed as component failures, severity assigned without reference to what the result is used for, and no assessment of the probability that an incorrect result leads to harm.

The PER collates instead of assessing. The three reports are summarised, the conclusion states that the device conforms, and no weighing of the data against the benefit-risk criteria appears anywhere in between.

Legacy IVDD study data is presented as clinical performance study data. It is other sources of clinical performance data, it requires a gap assessment, and it needs supporting literature or routine-testing experience.

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Frequently asked questions

What is MDCG 2022-2?

MDCG 2022-2 is the Medical Device Coordination Group guidance on general principles of clinical evidence for in vitro diagnostic medical devices, endorsed in January 2022. It explains what clinical evidence means under Regulation (EU) 2017/746, how the performance evaluation process works, what the Performance Evaluation Plan and Report have to contain, how risk management connects to the evaluation, and how the evidence is maintained across the device lifecycle.

Is MDCG 2022-2 legally binding?

No. It is not a European Commission document and the views in it are not legally binding — only the Court of Justice of the European Union can give binding interpretations of Union law. In practice Notified Bodies assess performance evaluation files against it, so a departure from the guidance needs a documented justification even though the guidance itself imposes no legal obligation.

What are the three pillars of clinical evidence for an IVD?

Scientific validity, analytical performance and clinical performance. Scientific validity is the association of the analyte with a clinical condition or physiological state, and is a statement about the analyte rather than about the device. Analytical performance is the device's ability to detect or measure the analyte correctly. Clinical performance is its ability to produce results correlated with the condition in the target population and with the intended user.

Does every IVD need a clinical performance report?

No. Article 2(39) makes clinical performance part of device performance only where applicable, and MDCG 2022-2 gives non-sterile specimen receptacles, microscopy glass slides and some general reagents as examples where clinical performance data may not be expected. Where the omission is duly justified, no clinical performance report is required — but the rest of the performance evaluation, including the PER, still is.

How often must the Performance Evaluation Report be updated?

For Class C and D devices, as necessary and at least annually. For Class A and B, continuously on the basis of post-market surveillance and PMPF input, at the frequency defined in the PMS plan rather than on a fixed calendar. The frequencies are set out in Appendix II of the guidance.

Does ISO 20916 apply to low-class IVDs?

Yes. MDCG 2022-2 states that clinical performance studies should follow ISO 20916 regardless of the classification of the device, unless a justification is provided in accordance with Annex XIII 1.2.3. The standard is not reserved for Class C and D.

Can data from clinical performance studies conducted under the IVDD be used?

Yes, but not as clinical performance study data. Studies conducted under the Directive do not meet the requirements of Annex XIII section 2.3, so they count as other sources of clinical performance data under Annex XIII 1.2.3. Their quality and completeness have to be assessed to identify gaps, and they need support from literature or from published experience gained in routine diagnostic testing.

Where does risk management fit into the performance evaluation?

Alongside it, continuously. The risk analysis has to reflect the clinical use and medical purpose of the device, because harm from an IVD is usually indirect — it reaches the patient through a clinical decision based on an incorrect, delayed, absent or unclear result. When new risks are identified or changes are made, the impact on the clinical evidence required has to be considered, and the evidence updated or re-established before the change is implemented.

Conclusions

MDCG 2022-2 does not add requirements to the IVDR. What it does is make the existing ones legible: it collects a concept the Regulation scattered across Article 56, Annex I and Annex XIII, and states the sequence in which the work has to happen.

The sequence is where most files fail. A plan written after the data, a search protocol invented at the end, thresholds set once the results were known, a PER that collects rather than concludes — none of these are content failures, and all of them are visible from the dates on the documents. The guidance is unusually explicit that planning precedes generation and that the evidence is re-established before a change is implemented, not after.

The second thing to take from it is the risk section. For an IVD the hazard is the wrong answer, and the severity is decided by what someone does with it. A risk file built only from technical failure modes has analysed half the chain, and it is the half where nobody gets hurt.

If you are building the performance evaluation documentation from scratch, the EU IVDR Kit covers the Annex II and Annex III set with the performance evaluation documents structured to the Regulation's own order, and MDCG 2022-2 integrated where it applies.

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