Evidence map›Paper›PMID 26069715›Full record

ArticleCartilage2015

A Stereological Method for the Quantitative Evaluation of Cartilage Repair Tissue.

Casper Bindzus Foldager, Jens Randel Nyengaard, Martin Lind, Myron Spector

Abstract read
In one paragraph

Article in Cartilage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  15. Omegaven Improves Skin Morphometric Indices in Diabetic Rat Model Wound Healing.The journal of the American College of Clinical Wound Specialists · 2017
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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.

Casper Bindzus FoldagerOrthopaedic Research, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA ; Tissue Engineering, VA Boston Healthcare System, Boston, MA, USA ; Orthopaedic Research Lab, Institute for Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark.
Jens Randel NyengaardStereology and EM Laboratory, Centre for Stochastic Geometry and Advanced Bioimaging, Aarhus University, Aarhus, Denmark.
Martin LindSports Trauma Clinic, Aarhus University Hospital, Aarhus, Denmark.
Myron SpectorOrthopaedic Research, Brigham & Women's Hospital, Harvard Medical School, Boston, MA, USA ; Tissue Engineering, VA Boston Healthcare System, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo implement stereological principles to develop an easy applicable algorithm for unbiased and quantitative evaluation of cartilage repair.

designDesign-unbiased sampling was performed by systematically sectioning the defect perpendicular to the joint surface in parallel planes providing 7 to 10 hematoxylin-eosin stained histological sections. Counting windows were systematically selected and converted into image files (40-50 per defect). The quantification was performed by two-step point counting: (1) calculation of defect volume and (2) quantitative analysis of tissue composition. Step 2 was performed by assigning each point to one of the following categories based on validated and easy distinguishable morphological characteristics: (1) hyaline cartilage (rounded cells in lacunae in hyaline matrix), (2) fibrocartilage (rounded cells in lacunae in fibrous matrix), (3) fibrous tissue (elongated cells in fibrous tissue), (4) bone, (5) scaffold material, and (6) others. The ability to discriminate between the tissue types was determined using conventional or polarized light microscopy, and the interobserver variability was evaluated.

resultsWe describe the application of the stereological method. In the example, we assessed the defect repair tissue volume to be 4.4 mm(3) (CE = 0.01). The tissue fractions were subsequently evaluated. Polarized light illumination of the slides improved discrimination between hyaline cartilage and fibrocartilage and increased the interobserver agreement compared with conventional transmitted light.

conclusionWe have applied a design-unbiased method for quantitative evaluation of cartilage repair, and we propose this algorithm as a natural supplement to existing descriptive semiquantitative scoring systems. We also propose that polarized light is effective for discrimination between hyaline cartilage and fibrocartilage.

Indexed as

cartilage repairhistologyhistomorphometrystereology

Identifiers

PMID26069715
PMCPMC4462253

What OpenQuestion holds

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Registered trials

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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.