Evidence map›Paper›PMID 25000570›Full record

ArticleSpectrochimica acta. Part A, Molecular and biomolecular spectroscopy2014

Proteoglycan concentrations in healthy and diseased articular cartilage by Fourier transform infrared imaging and principal component regression.

Jianhua Yin, Yang Xia

Erratum issuedAbstract read
In one paragraph

Article in Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Functional properties of chondrocytes and articular cartilage using optical imaging to scanning probe microscopy.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2018
    Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

2 authors.

Jianhua YinDepartment of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, PR China; Department of Physics and Center for Biomedical Research, Oakland University, Rochester, MI 48309, USA.
Yang XiaDepartment of Physics and Center for Biomedical Research, Oakland University, Rochester, MI 48309, USA. Electronic address: xia@oakland.edu.

Funding

Adaptability of Articular Cartilage to External Loading by Microscopic ImagingR01AR052353 · NIAMS · OAKLAND UNIVERSITY · PI XIA, YANG · 2008 to 2013
$2.1M
NIAMS NIH HHS R01 AR 052353NIAMS NIH HHS R01 AR052353
6 · The paper itself

Abstract

Fourier transform infrared imaging (FTIRI) combining with principal component regression (PCR) analysis were used to determine the reduction of proteoglycan (PG) in articular cartilage after the transection of the anterior cruciate ligament (ACL). A number of canine knee cartilage sections were harvested from the meniscus-covered and meniscus-uncovered medial tibial locations from the control joints, the ACL joints at three time points after the surgery, and their contralateral joints. The PG loss in the ACL cartilage was related positively to the durations after the surgery. The PG loss in the contralateral knees was less than that of the ACL knees. The PG loss in the meniscus-covered cartilage was less than that of the meniscus-uncovered tissue in both ACL and contralateral knees. The quantitative mapping of PG loss could monitor the disease progression and repair processes in arthritis.

Indexed as

AnimalsCartilage, ArticularDogsFourier AnalysisKnee JointOsteoarthritisPrincipal Component AnalysisProteoglycansSpectroscopy, Fourier Transform InfraredProteoglycansACL-transectionCartilageFTIRIOsteoarthritisPCRProteoglycan

Identifiers

PMID25000570
PMCPMC4133143

What OpenQuestion holds

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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.