Evidence map›Paper›PMID 34349740›Full record

ReviewFrontiers in microbiology2021

Applications of Raman Spectroscopy in Bacterial Infections: Principles, Advantages, and Shortcomings.

Liang Wang, Wei Liu, Jia-Wei Tang, Jun-Jiao Wang, Qing-Hua Liu, Peng-Bo Wen, Meng-Meng Wang, Ya-Cheng Pan, Bing Gu, Xiao Zhang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
19.0field-weighted citation impact, top 1% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 104 citations in OpenAlex.

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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

10 authors at 4 institutions in 2 countries.

Liang WangInstitute Pasteur of Shanghai, Chinese Academy of Sciences, Shanghai, China.
Wei LiuDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Jia-Wei TangDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Jun-Jiao WangDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Qing-Hua LiuState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Taipa, China.
Peng-Bo WenDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Meng-Meng WangJiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, School of Pharmacy, Xuzhou Medical University, Xuzhou, China.
Ya-Cheng PanSchool of Life Sciences, Xuzhou Medical University, Xuzhou, China.
Bing GuLaboratory Medicine, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China.
Xiao ZhangDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Xuzhou Medical College · CNChinese Academy of Sciences · CNGuangdong Academy of Medical Sciences · CNMacau University of Science and Technology · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious diseases caused by bacterial pathogens are important public issues. In addition, due to the overuse of antibiotics, many multidrug-resistant bacterial pathogens have been widely encountered in clinical settings. Thus, the fast identification of bacteria pathogens and profiling of antibiotic resistance could greatly facilitate the precise treatment strategy of infectious diseases. So far, many conventional and molecular methods, both manual or automatized, have been developed for

Indexed as

antibiotic resistancebacterial pathogeninfectious diseasemachine learningRaman spectroscopy

Identifiers

PMID34349740
PMCPMC8327204
OpenAlexW3187529499

What Socratic 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 Socratic graph.