Evidence map›Paper›PMID 37702305›Full record

ArticleJournal of magnetic resonance imaging : JMRI2024

Effects of T

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

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

Article in Journal of magnetic resonance imaging : JMRI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Association of cartilageOsteoarthritis and cartilage open · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 2 countries.

Rupsa BhattacharjeeDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0001-9893-3527
Rafeek ThahakoyaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Johanna LuitjensDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Misung HanDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-0918-8831
Koren E RoachDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0003-0897-9340
Fei JiangDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, USA.
Richard B SouzaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Valentina PedoiaDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.
Sharmila MajumdarDepartment of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-0201-871X
University of California, San Francisco · US

Funding

Structural, Biochemical and Functional Connectivity in Osteoarthritis using Quantitative Magnetic Resonance Imaging and Skeletal BiomechanicsR01AR069006 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA, SOUZA, RICHARD BRIAN · 2016 to 2025
$7.2M
Skeletal Biology and Biomechanics (SBB) CoreP30AR075055 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EDWARD C HSIAO · 2019 to 2026
$7.1M
Mentoring Biomechanics Research in OsteoarthritisK24AR072133 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Richard Brian Souza · 2018 to 2026
$1.5M
NIAMS NIH HHS K24 AR072133NIAMS NIH HHS P30 AR075055NIAMS NIH HHS R01 AR069006NIAMS NIH HHS R01AR069006
6 · The paper itself

Abstract

backgroundThe polyarticular nature of Osteoarthritis (OA) tends to manifest in multi-joints. Associations between cartilage health in connected joints can help identify early degeneration and offer the potential for biomechanical intervention. Such associations between hip and knee cartilages remain understudied. PURPOSE: To investigate T STUDY TYPE: Prospective. SUBJECTS: Twenty-eight subjects (age 55.1 ± 12.8 years, 15 females) with none-to-moderate hip-OA while no radiographic knee-OA. FIELD STRENGTH/SEQUENCE: 3-T, bilateral hip, and knee: 3D-proton-density-fat-saturated (PDFS) Cube and Magnetization-Prepared-Angle-Modulated-Partitioned-k-Space-Spoiled-Gradient-Echo-Snapshots (MAPSS). ASSESSMENT: Ages of subjects were categorized into Group-1 (≤40), Group-2 (41-50), Group-3 (51-60), Group-4 (61-70), Group-5 (71-80), and Group-6 (≥81). Hip T STATISTICAL TESTS: For Intra-and-Inter-limb, 5 optimum predictors out of 13 (Hip subregional T

resultsLME-model DATA

conclusionSignificant positive and negative T EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 1.

Indexed as

Cartilage, ArticularMagnetic Resonance ImagingOsteoarthritis, HipWeight-BearingAdultAgedFemaleHip JointHumansKnee JointMaleMiddle AgedOsteoarthritis, KneePatellaProspective StudiesbilateralhipkneeOsteoarthritisstatistical‐modelingT1p

Identifiers

PMID37702305
PMCPMC11283756
OpenAlexW4386704489

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.