Evidence map›Paper›PMID 25269875›Full record

ArticleZeitschrift fur Rheumatologie2015

[MALDI mass spectrometry of the meniscus. Objectification of morphological findings].

J Petzold, R Casadonte, M Otto, M Kriegsmann, M Granrath, A Baltzer, J Vogel, P Drees, S Deininger, M Becker and 1 more

Abstract readEnglish Abstract
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In one paragraph

Article in Zeitschrift fur Rheumatologie, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

11 authors at 5 institutions in 1 country.

J PetzoldZentrum für Molekulare Orthopädie, Gemeinschaftspraxis Königsallee, Düsseldorf, Deutschland.
R Casadonte
M Otto
M Kriegsmann
M Granrath
A Baltzer
J Vogel
P Drees
S Deininger
M Becker
J Kriegsmann
Praxis für Humangenetik · DEBruker (Germany) · DEZentrum für Pathologie und Zytodiagnostik · DEHeidelberg University · DEJohannes Gutenberg University Mainz · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe classification of meniscal lesions requires correlation with clinical data. For the standardization of histopathology reports a discrimination between normal, low-grade lesions and high-grade lesions is feasible. This classification can be further specified using other methods. MATERIAL AND

methodsFormalin-fixed, paraffin-embedded specimens of meniscal tissue from 68 patients were analyzed by matrix-assisted laser desorption ionization (MALDI) imaging.

resultsThe classification of meniscal lesions and differentiation between low-grade and high-grade and acute versus non-acute degeneration is possible by determination of the differential expression of mass-to-charge ratios by statistical comparisons using the P-value from combined Wilcoxon and Kruskal-Wallis (PWKW) tests and a predefined average two-fold difference in intensity.

conclusionThe concept of a "meniscus report" is introduced for documentation of meniscus tissue specimens integrating histological, histochemical and proteomic data, thereby specifying the degree of degeneration and the assessment of acute or non-acute lesions. Mass spectrometry contributes to an objective histopathology report. An advisory opinion should always be based on close correlation of clinical and morphological evaluations.

Indexed as

AlgorithmsAdultAgedAged, 80 and overBiomarkersDiagnosis, Computer-AssistedFemaleFractures, CartilageHumansMaleMenisci, TibialMiddle AgedPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers

Identifiers

PMID25269875
OpenAlexW2711433476

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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.