ArticleBMJ surgery, interventions, & health technologies2025
Development of a minimum checklist to assess the quality of evidence produced using registry data for the evaluation of medical device safety and performance.
Article in BMJ surgery, interventions, & health technologies, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Analysis of the challenges in ensuring robust and effective clinical evaluation of AI-based digital medical devices.BMJ digital health & AI · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Medical device registries in Europe report limited information about their structure and methodological characteristics. This hinders their utility for evaluation of medical device safety and performance under the Medical Device Regulation. This study aimed to define a minimum checklist of items necessary for regulators to assess the quality of evidence produced using registry data for the evaluation of medical device safety and performance. Design: A three-round Delphi panel. Setting: A task within the Coordinating Research and Evidence for Medical Devices project. Participants: 101 experts in the medical device community (healthcare professionals, methodologists, registry experts, regulators, and assessors from notified bodies) were invited. Interventions: Based on a literature review and expert advice, 27 items relating to the quality of registry data and the analysis of medical device safety and performance were selected. In round 1, participants selected which items were required for a minimum checklist. They could also propose new items. Items selected by ≥70% of participants indicated consensus. Remaining items were discussed in round 2, resulting in a final checklist that was ranked by participants for importance (round 3). Main outcome measures: Consensus of items to be included in the minimum checklist. Results: 51 experts participated in round 1, achieving consensus on 18 (67%) items and suggesting 12 items. After discussion in round 2, 5 additional items were selected, resulting in a final set of 15 data quality items and 8 data analysis items. The most important items were 'completeness of procedures' (data quality) and 'definition of outcome analyzed'" (quality of analysis). Conclusions: Reporting all items from the minimum checklist will facilitate judgment of the utility of registry data to evaluate medical devices during post-market surveillance.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.