Evidence map›Paper›PMID 37642768›Full record

ReviewJournal of medical systems2023

The 510(k) Third Party Review Program: Promise and Potential.

Brian J Miller, William Blanks, Brian Yagi

Abstract readReview
In one paragraph

Review in Journal of medical systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. From bench to bedside and back: translational cardiovascular interventions in veterinary medicine.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2025
    Review
  6. Article
  7. Article
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.

Brian J MillerDivision of Hospital Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Meyer 8-143, Baltimore, MD, 21287, USA. brian@brianjmillermd.com.
William BlanksWest Virginia University School of Medicine, Morgantown, WV, USA.
Brian YagiDivision of Hospital Medicine, Department of Medicine, The Johns Hopkins University School of Medicine, 600 N. Wolfe Street, Meyer 8-143, Baltimore, MD, 21287, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Every year, the Food and Drug Administration (FDA) clears approximately 3,000 medical devices for marketing via the 510(k) pathway. These constitute 99% of all devices approved for human use and includes the premarket review of many devices incorporating newer technology such as artificial intelligence (AI), machine learning (ML), and other software. As the complexity of these novel technologies and the number of applications is expected to increase in the coming years, statutory changes such as the 2016 21

Indexed as

Artificial IntelligenceMachine LearningHumansSoftwareTechnologyUnited States510(k)FDAHealth policyMedical device regulation

Identifiers

PMID37642768
PMCPMC10465388

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.