Enmeshed in Controversy

Kuhlmann-Capek, Maggie J.; Kılıç, Gökhan; Shah, Akhil B.; Diken, Zaid; Snyder, Russell R.; Phelps, John Y.

doi:10.1097/spv.0000000000000192

Cited by 23 publications

(2 citation statements)

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“…Since the FDA released a warning on the safety and effectiveness of trans-vaginal placement of meshes in 2011, the number of lawsuits has increased exponentially and has thus become a major concern to all vaginal surgeons. Given the potential risks involved, as well as the readily available legal recourse for patients who experience complications, it is important to deter litigation by appropriately counseling patients about the risks and documenting informed consent in the medical record ( 102 – 106 ).…”

Section: Resultsmentioning

confidence: 99%

Update on complications of synthetic suburethral slings

et al. 2017

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Synthetic suburethral slings have become the most widely used technique for the surgical treatment of stress urinary incontinence. Despite its high success rates, significant complications have been reported including bleeding, urethral or bladder injury, urethral or bladder mesh erosion, intestinal perforation, vaginal extrusion of mesh, urinary tract infection, pain, urinary urgency and bladder outlet obstruction. Recent warnings from important regulatory agencies worldwide concerning safety issues of the use of mesh for urogynecological reconstruction have had a strong impact on patients as well as surgeons and manufacturers. In this paper, we reviewed the literature regarding surgical morbidity associated with synthetic suburethral slings.

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Section: Resultsmentioning

confidence: 99%

Update on complications of synthetic suburethral slings

et al. 2017

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“…From 336 articles, 21 that downloaded MAUDE data files were set aside for further analysis 11–31 . Upon manual review, 135 articles with unclear queries 32–164 and 120 with incomplete queries 165–284 were excluded. Ultimately, 60 executable queries were found 5,10,285–342 .…”

Section: Methodsmentioning

confidence: 99%

Assessing the Reproducibility of Research Based on the Food and Drug Administration Manufacturer and User Facility Device Experience Data

Li,

Feng,

Gong

et al. 2024

J Patient Saf

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Objective This article aims to assess the reproducibility of Manufacturer and User Facility Device Experience (MAUDE) data-driven studies by analyzing the data queries used in their research processes. Methods Studies using MAUDE data were sourced from PubMed by searching for “MAUDE” or “Manufacturer and User Facility Device Experience” in titles or abstracts. We manually chose articles with executable queries. The reproducibility of each query was assessed by replicating it in the MAUDE Application Programming Interface. The reproducibility of a query is determined by a reproducibility coefficient that ranges from 0.95 to 1.05. This coefficient is calculated by comparing the number of medical device reports (MDRs) returned by the reproduced queries to the number of reported MDRs in the original studies. We also computed the reproducibility ratio, which is the fraction of reproducible queries in subgroups divided by the query complexity, the device category, and the presence of a data processing flow. Results As of August 8, 2022, we identified 523 articles from which 336 contained queries, and 60 of these were executable. Among these, 14 queries were reproducible. Queries using a single field like product code, product class, or brand name showed higher reproducibility (50%, 33.3%, 31.3%) compared with other fields (8.3%, P = 0.037). Single-category device queries exhibited a higher reproducibility ratio than multicategory ones, but without statistical significance (27.1% versus 8.3%, P = 0.321). Studies including a data processing flow had a higher reproducibility ratio than those without, although this difference was not statistically significant (42.9% versus 17.4%, P = 0.107). Conclusions Our findings indicate that the reproducibility of queries in MAUDE data-driven studies is limited. Enhancing this requires the development of more effective MAUDE data query strategies and improved application programming interfaces.

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