Evidence map›Paper›PMID 37284145›Full record

ArticleFree neuropathology2022

From Research to Diagnostic Application of Raman Spectroscopy in Neurosciences: Past and Perspectives.

Gilbert Georg Klamminger, Katrin B M Frauenknecht, Michel Mittelbronn, Felix B Kleine Borgmann

Open access · greenAbstract read
In one paragraph

Article in Free neuropathology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Innovation in Non-Invasive Diagnosis and Disease Monitoring for Meningiomas.International journal of molecular sciences · 2024
    Review
  4. Article
  5. Article
  6. Neurooncology: 2023 update.Free neuropathology · 2023
    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 3 institutions in 2 countries.

Gilbert Georg KlammingerSaarland University Medical Center and Faculty of Medicine, Homburg, Germany.
Katrin B M FrauenknechtNational Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg.
Michel MittelbronnNational Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg.
Felix B Kleine BorgmannNational Center of Pathology (NCP), Laboratoire national de santé (LNS), Dudelange, Luxembourg.
Laboratoire National de Santé · LULuxembourg Institute of Health · LUUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, Raman spectroscopy has been more and more frequently applied to address research questions in neuroscience. As a non-destructive technique based on inelastic scattering of photons, it can be used for a wide spectrum of applications including neurooncological tumor diagnostics or analysis of misfolded protein aggregates involved in neurodegenerative diseases. Progress in the technical development of this method allows for an increasingly detailed analysis of biological samples and may therefore open new fields of applications. The goal of our review is to provide an introduction into Raman scattering, its practical usage and also commonly associated pitfalls. Furthermore, intraoperative assessment of tumor recurrence using Raman based histology images as well as the search for non-invasive ways of diagnosis in neurodegenerative diseases are discussed. Some of the applications mentioned here may serve as a basis and possibly set the course for a future use of the technique in clinical practice. Covering a broad range of content, this overview can serve not only as a quick and accessible reference tool but also provide more in-depth information on a specific subtopic of interest.

Indexed as

Machine learningNeurodegenerationNeurooncologyNeuropathologyNeurosurgeryRaman spectroscopy

Identifiers

PMID37284145
PMCPMC10209863
OpenAlexW4367058571

What Socratic holds

Textmetadata
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 Socratic graph.