Evidence map›Paper›PMID 39554476›Full record

ArticleOsteoarthritis and cartilage open2024

Association of cartilage

Rafeek Thahakoya, Koren E Roach, Misung Han, Rupsa Bhattacharjee, Fei Jiang, Johanna Luitjens, Emma Bahroos, Valentina Pedoia, Richard B Souza, Sharmila Majumdar

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Osteoarthritis and cartilage open, 2024. 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
–field-weighted citation impact
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.

  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

10 authors.

Rafeek ThahakoyaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Koren E RoachDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Misung HanDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Rupsa BhattacharjeeDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Fei JiangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Johanna LuitjensDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Emma BahroosDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Valentina PedoiaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Richard B SouzaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.
Sharmila MajumdarDepartment of Radiology and Biomedical Imaging, University of California San Francisco, CA, USA.

Funding

Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
NIAMS NIH HHS P30 AR075055
6 · The paper itself

Abstract

Objective: To study the longitudinal changes of cartilage Methods: A calibration study compared two scanner data, Scanner-1 (GE Discovery MR750 3.0T) with unilateral acquisition protocol and Scanner-2 (GE Signa Premier 3.0T) with bilateral acquisition protocol, using nine subjects(average age ​= ​40.33 ​± ​13.53 years, 5 females), including one hip-OA subject. Quantified parameters from the Scanner-2 were adjusted using voxel-based relaxometry(VBR) and Z-score normalization to reduce the inter-scanner variability. Eighteen hip-OA Subjects (age ​= ​53.11 ​± ​14.96 years, 12 females) were recruited to the longitudinal variability study from 2016, comprising five assessments at 1-year intervals. Baseline to 3rd-year data used unilateral acquisition with Scanner-1, while 4th-year data used bilateral acquisition with Scanner-2. A linear mixed-effects model(LME) assessed trajectory analyses, with acquisition year, age, sex, body mass index(BMI), and Kellgren-Lawrence(KL) score as predictor variables and cartilage mean Results: VBR analysis after Z-score normalization showed that only a few of the whole cartilage voxels had significant differences in Conclusion: The calibration study demonstrated the effectiveness of VBR and Z-score normalization in reducing inter-scanner variability. The longitudinal study revealed a significant correlation between

Indexed as

Articular cartilageHip osteoarthritisLongitudinal studyVBR analysis

Identifiers

PMID39554476
PMCPMC11566348

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.