Evidence map›Paper›PMID 27563836›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2017

Composite metric R

Colin Russell, Valentina Pedoia, Sharmila Majumdar, AF-ACL Consortium

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Synthetic Knee MRI TBioengineering (Basel, Switzerland) · 2023
    Article
  3. Baseline cartilage T1ρ and T2 predicted patellofemoral joint cartilage lesion progression and patient-reported outcomes after ACL reconstruction.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2023
    Article
  4. Article
  5. Multi-vendor multi-site TOsteoarthritis and cartilage · 2020
    Article
  6. Article
  7. A unique anisotropic RMagnetic resonance in medicine · 2019
    Article
  8. Article
  9. Article
  10. MRI and biomechanics multidimensional data analysis reveals RJournal of magnetic resonance imaging : JMRI · 2018
    Article
  11. Article
  12. Principal component analysis-TQuantitative imaging in medicine and surgery · 2016
    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

4 authors at 1 institution in 1 country.

Colin RussellMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.
Valentina PedoiaMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.
Sharmila MajumdarMusculoskeletal Quantitative Imaging Research Group, Department of Radiology and Biomedical Imaging, University of California, San Francisco, California.
AF-ACL Consortium
University of California, San Francisco · US

Funding

Translation of Quantitative Imaging in OsteoarthritisP50AR060752 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SOUZA, RICHARD BRIAN · 2011 to 2015
$6.2M
NIAMS NIH HHS P50 AR060752
6 · The paper itself

Abstract

This study looked to investigate a new quantitative metric, R

Indexed as

AdolescentAdultAnterior Cruciate Ligament ReconstructionFemaleFollow-Up StudiesHumansKnee JointMagnetic Resonance ImagingMalePostoperative PainYoung AdultACL injurycartilage degenerationKOOSR2 - R1ρvoxel-based relaxometry

Identifiers

PMID27563836
PMCPMC7021321
OpenAlexW2510172416

What OpenQuestion holds

Textmetadata
LicenceTDM
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.