Evidence map›Paper›PMID 34894778›Full record

ArticleCartilage2021

Ultrasound-Based Quantification of Cartilage Damage After

Maria Pastrama, Janne Spierings, Pieter van Hugten, Keita Ito, Richard Lopata, Corrinus C van Donkelaar

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

Article in Cartilage, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

1 citing paper in PubMed, 7 citations in OpenAlex.

  1. Review
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

6 authors at 2 institutions in 1 country.

Maria PastramaOrthopaedic Biomechanics Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.ORCID 0000-0001-9813-7512
Janne SpieringsOrthopaedic Biomechanics Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Pieter van HugtenDepartment of Orthopaedics, Maastricht UMC+, Maastricht, The Netherlands.
Keita ItoOrthopaedic Biomechanics Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Richard LopataCardiovascular Biomechanics Group, Photoacoustics and Ultrasound Laboratory Eindhoven, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Corrinus C van DonkelaarOrthopaedic Biomechanics Group, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.
Eindhoven University of Technology · NLMaastricht University Medical Centre · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to evaluate the applicability of the ultrasound roughness index (URI) for quantitative assessment of cartilage quality

designGoats received a metal FKRI (

resultsThe URI was significantly higher in the FKRI-articulating than in the sham plateaus at medial articulating sections, but not at sections that were not in direct contact with the implant, for example, under the meniscus. The mean macroscopic score and MMS were significantly higher in the FKRI-articulating group than in the sham group (

conclusionsThis study demonstrates the potential of URI to evaluate cartilage roughness and altered surface morphology after

Indexed as

Cartilage, ArticularKnee ProsthesisAnimalsFemurKnee JointTibiaarticular cartilagefocal knee resurfacing implantsurface roughnessultrasoundUltrasound Roughness Index

Identifiers

PMID34894778
PMCPMC8721675
OpenAlexW4200337852

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.