Evidence map›Paper›PMID 38542349›Full record

ReviewInternational journal of molecular sciences2024

Raman Spectroscopy as a Research and Diagnostic Tool in Clinical Hematology and Hematooncology.

Paulina Laskowska, Piotr Mrowka, Eliza Glodkowska-Mrowka

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
6.6field-weighted citation impact, top 4% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. 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

3 authors at 2 institutions in 1 country.

Paulina LaskowskaDepartment of Experimental Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, Poland.ORCID 0000-0002-7960-3327
Piotr MrowkaDepartment of Experimental Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, Poland.
Eliza Glodkowska-MrowkaDepartment of Experimental Hematology, Institute of Hematology and Transfusion Medicine, 02-776 Warsaw, Poland.ORCID 0000-0002-5865-8425
Medical University of Warsaw · PLInstytut Hematologii i Transfuzjologi · PL

Funding

Foundation for Polish Science POIR.04.04.00-00-16ED/18-00
6 · The paper itself

Abstract

Raman spectroscopy is a molecular spectroscopic technique able to provide detailed information about the chemical structure, phase, crystallinity, and molecular interactions of virtually any analyzed sample. Although its medical applications have been studied for several decades, only recent advances in microscopy, lasers, detectors, and better understanding of the principles of the Raman effect have successfully expanded its applicability to clinical settings. The promise of a rapid, label-free diagnostic method able to evaluate the metabolic status of a cell in vivo makes Raman spectroscopy particularly attractive for hematology and oncology. Here, we review widely studied hematological applications of Raman spectroscopy such as leukocyte activation status, evaluation of treatment response, and differentiation between cancer and non-malignant cells, as well as its use in still unexplored areas in hematology. We also discuss limitations and challenges faced by Raman spectroscopy-based diagnostics as well as recent advances and modifications of the method aimed to increase its applicability to clinical hematooncology.

Indexed as

HematologyNeoplasmsAntigen PresentationHeadHumansSpectrum Analysis, Ramandiagnosticshematologic malignancyleukemialymphomaRaman effectRaman spectroscopy

Identifiers

PMID38542349
PMCPMC10969935
OpenAlexW4392926188

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.