Evidence map›Paper›PMID 36984930›Full record

ArticleMicromachines2023

Replication Study of Molded Micro-Textured Samples Made of Ultra-High Molecular Weight Polyethylene for Medical Applications.

Francesco Modica, Vito Basile, Rossella Surace, Irene Fassi

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Francesco ModicaCNR-STIIMA Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Via P. Lembo, 38F, 70124 Bari, Italy.ORCID 0000-0003-4025-645X
Vito BasileCNR-STIIMA Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Via P. Lembo, 38F, 70124 Bari, Italy.ORCID 0000-0002-7617-3368
Rossella SuraceCNR-STIIMA Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Via P. Lembo, 38F, 70124 Bari, Italy.ORCID 0000-0002-9476-3310
Irene FassiCNR-STIIMA Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, Via A. Corti, 12, 20133 Milano, Italy.ORCID 0000-0002-6144-2123
Institute of Intelligent Systems for Automation · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In articular joint implants, polymeric inserts are usually exploited for on-contact sliding surfaces to guarantee low friction and wear, a high load-bearing capacity, impact strength and stiffness, and biocompatibility. Surface micro-structuring can drastically reduce friction and wear by promoting hydrostatic friction due to synovial fluid. Ultra-High Molecular Weight Polyethylene (UHMWPE) is a suitable material for these applications due to its strong chemical resistance, excellent resistance to stress, cracking, abrasion, and wear, and self-lubricating property. However, surface micro-texturing of UHMWPE is hardly achievable with the currently available processes. The present study investigates UHMWPE's micro-textured surface replication capability via injection molding, comparing the results with the more easily processable High-Density Polyethylene (HDPE). Four different micro-texture cavities were designed and fabricated on a steel mold by micro-EDM milling, and used for the experimental campaign. Complete samples were fabricated with both materials. Then, the mold and samples were geometrically characterized, considering the dimensions of the features and the texture layout. The replication analysis showed that HDPE samples present geometrical errors that span from 1% to 9% resulting in an average error of 4.3%. In comparison, the UHMWPE samples display a higher variability, although still acceptable, with percentage errors ranging from 2% to 31% and an average error of 11.4%.

Indexed as

micro-EDM structured surfacemicro-injection moldingmicro-texturingUltra-High Molecular Weight Polyethylene

Identifiers

PMID36984930
PMCPMC10051488
OpenAlexW4321789670

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.