Evidence map›Paper›PMID 39452060›Full record

ReviewAdvances in respiratory medicine2024

Utility of Raman Spectroscopy in Pulmonary Medicine.

Pauls Dzelve, Arta Legzdiņa, Andra Krūmiņa, Madara Tirzīte

Abstract readReview
In one paragraph

Review in Advances in respiratory medicine, 2024. 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

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

1 citing paper in PubMed.

  1. Review
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.

Pauls DzelveDepartment of Internal Medicine, Faculty of Medicine, Riga Stradiņš University, LV1007 Riga, Latvia.
Arta LegzdiņaDepartment of Internal Medicine, Faculty of Medicine, Riga Stradiņš University, LV1007 Riga, Latvia.
Andra KrūmiņaDepartment of Internal Medicine, Faculty of Medicine, Riga Stradiņš University, LV1007 Riga, Latvia.ORCID 0000-0002-1268-8194
Madara TirzīteDepartment of Internal Medicine, Faculty of Medicine, Riga Stradiņš University, LV1007 Riga, Latvia.ORCID 0000-0003-0557-7768

Funding

This research was performed with the frameworks of the ERA PerMED project "Raman analysis of saliva from COPD patients as new biomarker: AI-based point-of-care for the disease monitoring and management (CORSAI)", agreement ES RTD/2022/17 ES RTD/2022/17
6 · The paper itself

Abstract

The Raman effect, or as per its original description, "modified scattering", is an observation that the number of scattered light waves shifts after photons make nonelastic contact with a molecule. This effect allows Raman spectroscopy to be very useful in various fields. Although it is well known that Raman spectroscopy could be very beneficial in medicine as a diagnostic tool, there are not many applications of Raman spectroscopy in pulmonary medicine. Mostly tumor tissue, sputum and saliva have been used as material for analysis in respiratory medicine. Raman spectroscopy has shown promising results in malignancy recognition and even tumor staging. Saliva is a biological fluid that could be used as a reliable biomarker of the physiological state of the human body, and is easily acquired. Saliva analysis using Raman spectroscopy has the potential to be a relatively inexpensive and quick tool that could be used for diagnostic, screening and phenotyping purposes. Chronic obstructive pulmonary disease (COPD) is a growing cause of disability and death, and its phenotyping using saliva analysis via Raman spectroscopy has a great potential to be a dependable tool to, among other things, help reduce hospitalizations and disease burden. Although existing methods are effective and generally available, Raman spectroscopy has the benefit of being quick and noninvasive, potentially reducing healthcare costs and workload.

Indexed as

Spectrum Analysis, RamanBiomarkersHumansPulmonary Disease, Chronic ObstructivePulmonary MedicineSalivaSputumBiomarkersCOPDphenotypingpulmonologyRaman spectroscopysaliva analysisscreening

Identifiers

PMID39452060
PMCPMC11505626

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.