Evidence map›Paper›PMID 37193116›Full record

ArticleSurface topography : metrology and properties2023

Silicone Implant Surface Roughness, Friction, and Wear.

Dixon J Atkins, Allison L Chau, Jonah M Rosas, Yen-Tsung Chen, Samantha T Chan, Juan Manuel Urueña, Angela A Pitenis

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Surface topography : metrology and properties, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

7 authors at 1 institution in 1 country.

Dixon J AtkinsDepartment of Biomolecular Science and Engineering, University of California, Santa Barbara.
Allison L ChauMaterials Department, University of California, Santa Barbara.
Jonah M RosasDepartment of Biomolecular Science and Engineering, University of California, Santa Barbara.
Yen-Tsung ChenDepartment of Chemical Engineering, University of California, Santa Barbara.
Samantha T ChanMolecular, Cellular, and Developmental Biology Department, University of California, Santa Barbara.
Juan Manuel UrueñaNSF BioPACIFIC Materials Innovation Platform, University of California, Santa Barbara.
Angela A PitenisMaterials Department, University of California, Santa Barbara.
University of California, Santa Barbara · US

Funding

Predoctoral Training Program in Quantitative MechanobiologyT32GM141846 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI Siddharth Subhas Dey, Beth L Pruitt · 2021 to 2026
$1.9M
NIGMS NIH HHS T32 GM141846
6 · The paper itself

Abstract

Textured silicone breast implants with high average surface roughness ("macrotextured") have been associated with a rare cancer of the immune system, Breast Implant-Associated Anaplastic Large Cell Lymphoma (BIA-ALCL). Silicone elastomer wear debris may lead to chronic inflammation, a key step in the development of this cancer. Here, we model the generation and release of silicone wear debris in the case of a folded implant-implant ("shell-shell") sliding interface for three different types of implants, characterized by their surface roughness. The "smooth" implant shell with the lowest average surface roughness tested (R

Identifiers

PMID37193116
PMCPMC10181813
OpenAlexW4308144313

What OpenQuestion holds

Textmetadata
LicenceTDM
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.