Evidence map›Paper›PMID 38250242›Full record

ArticleFrontiers in physics2022

Surface Texturing and Combinatorial Approaches to Improve Biocompatibility of Implanted Biomaterials.

Li-Chong Xu, Christopher A Siedlecki

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physics, 2022. 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
0.8field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Transcriptional Response ofACS biomaterials science & engineering · 2023
    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

2 authors at 1 institution in 1 country.

Li-Chong XuDepartment of Surgery, The Pennsylvania State University, College of Medicine, Hershey, PA 17033.
Christopher A SiedleckiDepartment of Surgery, The Pennsylvania State University, College of Medicine, Hershey, PA 17033.
Pennsylvania State University · US

Funding

Combinatorial Approaches to Improved Blood-contacting Polymer BiomaterialsR01HL153231 · NHLBI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI SIEDLECKI, CHRISTOPHER A · 2020 to 2023
$2.6M
Textured Polyphosphazene Biomaterial with Improved HemocompatibilityR21AI139706 · NIAID · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI XU, LICHONG · 2018 to 2019
$412k
NHLBI NIH HHS R01 HL153231NIAID NIH HHS R21 AI139706
6 · The paper itself

Abstract

Biomaterial associated microbial infection and blood thrombosis are two of the barriers that inhibit the successful use of implantable medical devices in modern healthcare. Modification of surface topography is a promising approach to combat microbial infection and thrombosis without altering bulk material properties necessary for device function and without contributing to bacterial antibiotic resistance. Similarly, the use of other antimicrobial techniques such as grafting poly(ethylene glycol) (PEG) and nitric oxide (NO) release also improve the biocompatibility of biomaterials. In this review, we discuss the development of surface texturing techniques utilizing ordered submicron-size pillars for controlling bacterial adhesion and biofilm formation, and we present combinatorial approaches utilizing surface texturing in combination with poly(ethylene glycol) (PEG) grafting and NO release to improve the biocompatibility of biomaterials. The manuscript also discusses efforts towards understanding the molecular mechanisms of bacterial adhesion responses to the surface texturing and NO releasing biomaterials, focusing on experimental aspects of the approach.

Identifiers

PMID38250242
PMCPMC10798815
OpenAlexW4309314696

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.