Evidence map›Paper›PMID 35642700›Full record

ArticleJournal of musculoskeletal & neuronal interactions2022

Validation of High-Resolution peripheral Quantitative Computed Tomography-Derived Achilles Tendon Properties Against Diagnostic Ultrasound.

Hugo J W Fung, Angela M Cheung, Sunita Mathur, Eva Szabo, Andy K O Wong

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

Article in Journal of musculoskeletal & neuronal interactions, 2022. 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
0.6field-weighted citation impact, top 38% 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, 3 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Hugo J W FungDepartment of Exercise Science, Faculty of Kinesiology and Physical Education, University of Toronto, Canada.
Angela M CheungCentre of Excellence in Skeletal Health Assessment, University of Toronto, Toronto, ON, Canada.
Sunita MathurDepartment of Physical Therapy, Faculty of Medicine, University of Toronto, Canada.
Eva SzaboCentre of Excellence in Skeletal Health Assessment, University of Toronto, Toronto, ON, Canada.
Andy K O WongCentre of Excellence in Skeletal Health Assessment, University of Toronto, Toronto, ON, Canada.
University of Toronto · CAToronto Rehabilitation Institute · CAUniversity Health Network · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectives1) To assess the precision of high resolution peripheral quantitative computed tomography (HR-pQCT)-derived Achilles tendon (AT) cross-sectional area (HR AT-CSA) and density, and 2) to validate HR AT-CSA against ultrasound-derived AT-CSA (US AT-CSA).

methodsWomen and men (≥50 years) had HR-pQCT (0.082mm isotropic) and US scans (B-mode) performed on the non-dominant ankle. Linear regression and Bland-Altman analyses assessed systematic differences between HR-pQCT and US-derived AT-CSA. Precision measured by % root mean square coefficients of variation (%RMSCV) and agreement by type 2,1 intraclass correlation coefficients (ICC

resultsAmong 44 participants, HR and US AT-CSA were strongly correlated (R

conclusionHR-pQCT can examine AT-morphometry with acceptable analytical precision. Future studies should explore these metrics' association with functional outcomes and ankle-bone structural and mechanical properties.

Indexed as

Achilles TendonAnkleFemaleHumansMaleTomography, X-Ray ComputedUltrasonographyAchilles TendonHR-pQCTTendon Cross-Sectional AreaTendon DensityUltrasound

Identifiers

PMID35642700
PMCPMC9186460
OpenAlexW4282921180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.