Evidence map›Paper›PMID 32720092›Full record

ArticleAnnals of biomedical engineering2021

Near-Infrared Spectroscopy for Mapping of Human Meniscus Biochemical Constituents.

Juho Ala-Myllymäki, Tommi Paakkonen, Antti Joukainen, Heikki Kröger, Petri Lehenkari, Juha Töyräs, Isaac O Afara

Abstract read
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In one paragraph

Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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

7 authors.

Juho Ala-MyllymäkiDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland. juhoala@uef.fi.ORCID http://orcid.org/0000-0002-1220-7311
Tommi PaakkonenInstitute of Biomedicine, University of Eastern Finland, Kuopio, Finland.
Antti JoukainenDepartment of Orthopaedics, Traumatology and Hand Surgery, Kuopio University Hospital, Kuopio, Finland.
Heikki KrögerDepartment of Orthopaedics, Traumatology and Hand Surgery, Kuopio University Hospital, Kuopio, Finland.
Petri LehenkariCancer and Translational Medicine Research Unit, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
Juha TöyräsDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.
Isaac O AfaraDepartment of Applied Physics, University of Eastern Finland, Kuopio, Finland.

Funding

Academy of Finland 267551Academy of Finland 315820Jenny ja Antti Wihurin Rahasto 00170012Jenny ja Antti Wihurin Rahasto 00180012Jenny ja Antti Wihurin Rahasto 00190016Suomen Kulttuurirahasto 00160079Suomen Kulttuurirahasto 00171194VTR 1v319VTR 1v351VTR 1v372
6 · The paper itself

Abstract

Degenerative changes in meniscus are diagnosed during surgery by means of mechanical testing and visual evaluation. This method is qualitative and highly subjective, providing very little information on the internal state of the meniscus. Thus, there is need for novel quantitative methods that can support decision-making during arthroscopic surgery. In this study, we investigate the potential of near-infrared spectroscopy (NIRS) for mapping the biochemical constituents of human meniscus, including water, uronic acid, and hydroxyproline contents. Partial least squares regression models were developed using data from 115 measurement locations of menisci samples extracted from 7 cadavers and 11 surgery patient donors. Model performance was evaluated using an independent test set consisting of 55 measurement locations within a meniscus sample obtained from a separate cadaver. The correlation coefficient of calibration (ρ

Indexed as

CollagenGlycosaminoglycansHumansLeast-Squares AnalysisMeniscusModels, BiologicalSpectroscopy, Near-InfraredWaterCollagenGlycosaminoglycansWaterBiomedical technologyMeniscusNear-infraredRegression analysisSpectroscopy

Identifiers

PMID32720092
PMCPMC7773612

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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.