Evidence map›Paper›PMID 39962745›Full record

ArticleNanomedicine (London, England)2025

How can surface-enhanced Raman spectroscopy improve diagnostics for bacterial infections?

Jia-Wei Tang, Xin-Ru Wen, Yi-Wen Liao, Liang Wang

Abstract read
In one paragraph

Article in Nanomedicine (London, England), 2025. 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
–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

0 citing papers in PubMed.

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

4 authors.

Jia-Wei TangDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Xin-Ru WenSchool of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Yi-Wen LiaoDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Liang WangDepartment of Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.ORCID 0000-0001-5339-7484

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, bacterial infection is still a major global health issue. Although antibiotics have been widely used to control and treat bacterial infections, the overuse and misuse of antibiotics have led to widespread antimicrobial resistance among many bacterial pathogens. Therefore, reducing bacterial infections through rapid and accurate diagnostics is crucial for global public health. Traditional microbiological detection methods have limitations such as poor selectivity, high complexity, and excessive time consumption, highlighting the urgent need to develop efficient and sensitive bacterial diagnosis methods. Surface-enhanced Raman spectroscopy (SERS), as an emerging technique in clinical settings, holds a promising future for bacterial identification due to its rapid, nondestructive, and cost-effective nature. This invited special report discusses the application of SERS technology in bacterial diagnosis using pure culture, clinical samples, and single-cell Raman analysis. Current challenges and prospects of the technology are also addressed with in-depth discussion.

Indexed as

BacteriaBacterial InfectionsSpectrum Analysis, RamanHumansSingle-Cell Analysisbacterial pathogensclinical laboratorymachine learningrapid diagnosisSurface-enhanced Raman spectroscopy

Identifiers

PMID39962745
PMCPMC11970747

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.