Evidence map›Paper›PMID 22359683›Full record

ArticlePloS one2012

Fourier transform infrared spectroscopic imaging and multivariate regression for prediction of proteoglycan content of articular cartilage.

Lassi Rieppo, Jarno Rieppo, Jukka S Jurvelin, Simo Saarakkala

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.2field-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

23 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
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  6. Protein Analysis by FT-IR/ATR Spectroscopy.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Article
  8. Review
  9. The synovial surface of the articular cartilage.European journal of histochemistry : EJH · 2020
    Article
  10. Article
  11. Article
  12. Vibrational spectroscopic techniques to assess bone quality.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2017
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. FTIR-I compositional mapping of the cartilage-to-bone interface as a function of tissue region and age.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2014
    Article
  19. Review
  20. 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 2 institutions in 1 country.

Lassi RieppoDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Jarno Rieppo
Jukka S Jurvelin
Simo Saarakkala
University of Eastern Finland · FIKuopio University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fourier Transform Infrared (FT-IR) spectroscopic imaging has been earlier applied for the spatial estimation of the collagen and the proteoglycan (PG) contents of articular cartilage (AC). However, earlier studies have been limited to the use of univariate analysis techniques. Current analysis methods lack the needed specificity for collagen and PGs. The aim of the present study was to evaluate the suitability of partial least squares regression (PLSR) and principal component regression (PCR) methods for the analysis of the PG content of AC. Multivariate regression models were compared with earlier used univariate methods and tested with a sample material consisting of healthy and enzymatically degraded steer AC. Chondroitinase ABC enzyme was used to increase the variation in PG content levels as compared to intact AC. Digital densitometric measurements of Safranin O-stained sections provided the reference for PG content. The results showed that multivariate regression models predict PG content of AC significantly better than earlier used absorbance spectrum (i.e. the area of carbohydrate region with or without amide I normalization) or second derivative spectrum univariate parameters. Increased molecular specificity favours the use of multivariate regression models, but they require more knowledge of chemometric analysis and extended laboratory resources for gathering reference data for establishing the models. When true molecular specificity is required, the multivariate models should be used.

Indexed as

Multivariate AnalysisRegression AnalysisCartilage, ArticularDiagnostic ImagingHumansProteoglycansSpectroscopy, Fourier Transform InfraredProteoglycans

Identifiers

PMID22359683
PMCPMC3281137
OpenAlexW1978528743

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.