Evidence map›Paper›PMID 32396386›Full record

ArticleCartilage2021

Assessment of the Degree of Osteoarthritis in Aging Male and Female Femoral Condyles: A Cadaveric Study.

Jessica Immonen, Kelsey Stevens, Alexa Albin, David Chaus, Lesley Gilmer, Matthew Zdilla

Open access · bronzeAbstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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, 4 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

6 authors at 3 institutions in 1 country.

Jessica ImmonenDepartment of Physical Therapy, Rocky Mountain University of Health Professions, Provo, UT, USA.ORCID 0000-0001-7846-2238
Kelsey StevensDepartment of Physical Therapy, Rocky Mountain University of Health Professions, Provo, UT, USA.
Alexa AlbinDepartment of Anatomy and Neurobiology, University of Utah, Salt Lake City, UT, USA.
David ChausDepartment of Anatomy and Neurobiology, University of Utah, Salt Lake City, UT, USA.
Lesley GilmerDepartment of Physical Therapy, Rocky Mountain University of Health Professions, Provo, UT, USA.
Matthew ZdillaDepartments of Natural Sciences & Mathematics and Graduate Health Sciences, West Liberty University, West Liberty, WV, USA.
Rocky Mountain University of Health Professions · USUniversity of Utah · USWest Virginia University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDetermine if femoral chondral cartilage degeneration on cadaveric knee joints exacerbate differently with aging between the sexes.

methodsA total of 85 cadaveric femurs were assessed for macroscopic femoral condyle pathology using a scale for gross signs of osteoarthritis. Raters scored specimens and raters' scores were averaged to provide each specimen a Disease Severity Score (DSS).

resultsThe DSS for the 80+-year-old population was greater than the DSS of the 70- to 79-year-old population (*

conclusionsNo difference was shown between the sexes in the severity or location of degeneration indicating that men and women are likely affected by the same biomechanical changes that spur on osteoarthritis in their eighth decade of life (70s) and later. Lateral femoral degeneration predominates in younger populations. When patients approach their 70s, medial degeneration begins to predominate likely based on an increase in shearing at the knee joint.

Indexed as

Cartilage, ArticularOsteoarthritis, KneeAgedAged, 80 and overCadaverFemaleFemurHumansKnee JointMalePatellachondral lesionsfemoral condylesknee jointosteoarthritis

Identifiers

PMID32396386
PMCPMC8808813
OpenAlexW3024256863

What OpenQuestion holds

Textmetadata
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.