Appraisal plan

Clinical evaluation template

Appraisal Plan template for medical device clinical evaluation

Use this editable Appraisal Plan to define how clinical evidence will be ranked, assessed and weighted before it feeds your Clinical Evaluation Report, PMCF activities, PMS review or safety and performance conclusions.

Structure the appraisal methodSet objective rules before reviewers assess clinical evidence.
Align with MDCG 2020-6Rank clinical data sources and document why stronger evidence carries more weight.
Support audit-ready decisionsMake suitability, contribution and article quality decisions easier to trace.

  • Best for: clinical evaluation planning, literature appraisal, PMCF evidence review and CER preparation.
  • Includes: MDCG 2020-6 ranking, D/A/P/R suitability grading, T/O/F/S/C contribution grading and Oxford Level of Evidence classification.
  • Format: editable template available through the standard WooCommerce download flow.
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At Lexqara, we connect clinical documentation, PMS activities and regulatory strategy so manufacturers can justify clinical evidence decisions with a clear and repeatable appraisal method. Explore the Resource Center, review our Clinical Evaluation Services, or consult MDCG 2020-6 for the clinical evidence hierarchy referenced in this template.

Template preview

Template preview: appraisal method and evidence-ranking tables

Review the key sections included in the Appraisal Plan template before downloading it. The preview shows how the document structures clinical evidence ranking, suitability assessment, contribution assessment and Oxford Level of Evidence classification for medical device clinical evaluation.

MDCG 2020-6 rankingPrioritise clinical evidence by strength and relevance.
Suitability scoringAssess device, application, patient group and reporting fit.
Contribution scoringWeight outcomes, follow-up, study type and clinical significance.
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Ranking from MDCG 2020-6 (April 2020)

Table 1: MDCG 2020-6 rank

Rank

Types of clinical data and evidence

1

Results of high-quality clinical investigations covering all device variants, indications, patient populations, duration of treatment effect, etc

2

Results of high-quality clinical investigations with some gaps

3

Outcomes from high-quality clinical data collection systems such as registries

4

Outcomes from studies with potential methodological flaws but where data can still be quantified, and acceptability justified

5

Equivalence data (reliable / quantifiable)

6

Evaluation of state of the art, including evaluation of clinical data from similar devices

7

Complaints and vigilance data; curated data

8

Proactive PMS data, such as that derived from surveys

9

Individual case reports on the subject device

10

Compliance to non-clinical elements of common specifications considered relevant to device safety and performance

11

Simulated use / animal / cadaveric testing involving healthcare professionals or other end users

12

Pre-clinical and bench testing / compliance to standards

Suitability

Table 2: Criteria of suitability[1]

Suitability criteria

Description

Grading System

Appropriate device

Were the data generated from the device in question?

D1

Subject device

D2

Equivalent device / similar devices

D3

Similar device / alternative treatments

Appropriate device application

Was the device used for the same intended use (e.g., methods of deployment, application, etc.)?

A1

Same use

A2

Off-label use

A3

Unspecified use

Appropriate patient group

Were the data generated from a patient group that is representative of the intended treatment population (e.g., age, sex, etc.) and clinical condition (i.e., disease, including state and severity)?

P1

Targeted population

P2

Contraindicated population

P3

Other population

Acceptable report/data collation

Do the reports or collations of data contain sufficient information to be able to undertake a rational and objective assessment?

R1

Key safety and performance measures

R2

Other safety and performance measures

R3

No safety and performance measure

Contribution

Table 3: Criteria of contribution[2]

Data contribution criteria

Description

Grading System

Data source type

Was the design of the study appropriate?

T1

Yes

T2

No

Outcome measures

Do the outcome measures reported reflect the intended performance of the medical device?

O1

Yes

O2

No

Follow up

Is the duration of follow-up long enough to assess whether duration of treatment effects and identify complications?

F1

Yes

F2

No

Statistical significance

Has a statistical analysis of the data been provided and is it appropriate?

S1

Yes

S2

No

Clinical significance

Was the magnitude of the treatment effect observed clinically significant?

C1

Yes

C2

No

Oxford Level of evidence (LoE)

Table 4: Level of clinical evidence[3] for therapy or prevention of disease

LoE

Description

1

Systematic reviews of randomized controlled trials

Individual randomized controlled trials

2

Systematic reviews of cohort studies

Individual cohort study

low quality randomized controlled trials

3

Systematic review of case-control studies

individual case-control study

4

Case series

5

Expert opinion

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SKU LEX-FORM-EU-010 rev.1 Category
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