Evidence map›Paper›PMID 41100654›Full record

ArticleThe Indian journal of medical research2025

Global trends in post-market surveillance of high-risk medical devices: An empirical analysis based on regulatory data.

Oviyaasri Manimuthukumar, M Manjuladevi, T Arunkumar

Abstract read
In one paragraph

Article in The Indian journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Oviyaasri ManimuthukumarDepartment of Neuroscience, National University of Ireland Galway, Roscam, Galway, Ireland.
M ManjuladeviDepartment of Science & Humanities, SNS College of Technology, Coimbatore, Tamil Nadu, India.
T ArunkumarDepartment of Science & Humanities, SNS College of Technology, Coimbatore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background & objectives To analyse post-market surveillance (PMS) trends for high-risk medical devices (Class IIb and III) in different geographic regions and evaluate the effectiveness of field safety corrective actions (FSCAs) in mitigating device-related risks. Methods This study utilised 2024 data from EUDAMED (European Database on Medical Devices), BfArM (Bundesinstitut für Arzneimittel und Medizinprodukte), and MAUDE (Manufacturer and User Facility Device Experience (FDA database)) to identify recurring incidents, associated device types, and the outcomes of FSCAs. A quantitative analysis was conducted to evaluate the frequency and severity of reported incidents, focusing on hardware failures, software malfunctions, and calibration issues. The impact of recalls, software updates, and field modifications on incident recurrence was also assessed. Results Orthopaedic implants, infusion pumps, and cardiac monitoring devices reported the highest number of incidents, primarily due to hardware failures and software issues. FSCAs involving hardware modifications significantly reduced recurrence rates, particularly for high-risk devices like pacemakers and ventilators. In contrast, software-driven devices exhibited persistent issues despite corrective actions, highlighting challenges in maintaining long-term reliability. Interpretation & conclusions The findings underscore the importance of robust PMS systems and tailored corrective actions in mitigating risks associated with high-risk medical devices. While FSCAs have demonstrated effectiveness in addressing hardware-related failures, enhancements in regulatory frameworks are necessary to improve the management of software-driven devices.

Indexed as

Equipment and SuppliesProduct Surveillance, PostmarketingEquipment FailureHumansSoftwareClass IIb devicesclass III devicesEUDAMEDfield safety corrective actions (FSCAs)medical device incidentsmedical device regulationpost-market surveillance

Identifiers

PMID41100654
PMCPMC12624750

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LicenceCC BY-NC-SA
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Registered trials

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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 OpenQuestion graph.