Evidence map›Paper›PMID 29667733›Full record

Trial reportJournal of orthopaedic research : official publication of the Orthopaedic Research Society2018

Longitudinal analysis of tibiofemoral cartilage contact area and position in ACL reconstructed patients.

Ellison Chen, Keiko Amano, Valentina Pedoia, Richard B Souza, C Benjamin Ma, Xiaojuan Li

Abstract readClinical Trial
In one paragraph

Trial report in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. MRI UTE-T2* shows high incidence of cartilage subsurface matrix changes 2 years after ACL reconstruction.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2019
    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.

Ellison ChenUCSF Department of Radiology and Biomedical Imaging, 185 Berry St, Suite 350, San Francisco, California, 94107.
Keiko AmanoUCSF Department of Orthopaedic Surgery, San Francisco, California.
Valentina PedoiaUCSF Department of Radiology and Biomedical Imaging, 185 Berry St, Suite 350, San Francisco, California, 94107.
Richard B SouzaUCSF Department of Radiology and Biomedical Imaging, 185 Berry St, Suite 350, San Francisco, California, 94107.
C Benjamin MaUCSF Department of Orthopaedic Surgery, San Francisco, California.
Xiaojuan LiUCSF Department of Radiology and Biomedical Imaging, 185 Berry St, Suite 350, San Francisco, California, 94107.

Funding

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

Abstract

Patients who have suffered ACL injury are more likely to develop early onset post-traumatic osteoarthritis despite reconstruction. The purpose of our study was to evaluate the longitudinal changes in the tibiofemoral cartilage contact area size and location after ACL injury and reconstruction. Thirty-one patients with isolated unilateral ACL injury were followed with T

Indexed as

AdolescentAdultAnterior Cruciate Ligament ReconstructionCartilage, ArticularFemaleHumansKnee JointLongitudinal StudiesMagnetic Resonance ImagingMaleMiddle AgedProspective StudiesYoung AdultACL injuryknee kinematicspost-traumatic osteoarthritisquantitative imaging

Identifiers

PMID29667733
PMCPMC7238867

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.