ReviewPerspectives in clinical research
Advancements in materiovigilance: A comprehensive overview.
Review in Perspectives in clinical research. 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.
- Surveillance and assessment of medical device-associated adverse events in a tertiary care hospital: An observational study.The Indian journal of medical research · 2026Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patient safety is crucial while using medical equipment, which is, therefore, strong risk management and monitoring systems such as materiovigilance are required. Through international cooperation and technical improvements, this field which focuses on identifying and resolving adverse occurrences related to medical devices has developed. By facilitating real-time data analysis and the early detection of safety issues, as well as by enhancing patient outcomes and regulatory compliance, the combination of artificial intelligence and machine learning has greatly improved materiovigilance. The Materiovigilance Programme of India attempts to improve the infrastructure for medical device monitoring in underdeveloped nations like India, in spite of obstacles including poor data quality and infrastructure. To improve the security and efficacy of medical devices, engineers, regulators, healthcare practitioners, and technology companies must continue to collaborate. To protect public health and safety, materiovigilance will increasingly rely on advanced technologies and strict adherence to regulations.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.