Evidence map›Paper›PMID 35464991›Full record

ArticleFrontiers in microbiology2022

Rapid Discrimination of Clinically Important Pathogens Through Machine Learning Analysis of Surface Enhanced Raman Spectra.

Jia-Wei Tang, Jia-Qi Li, Xiao-Cong Yin, Wen-Wen Xu, Ya-Cheng Pan, Qing-Hua Liu, Bing Gu, Xiao Zhang, Liang Wang

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Explainable AI-SERS approach for highly accurate discrimination ofCurrent research in microbial sciences · 2026
    Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Rapid profiling of carcinogenic types ofComputational and structural biotechnology journal · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Rapid discrimination between wild and cultivatedCurrent research in food science · 2024
    Article
  20. 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

9 authors.

Jia-Wei TangDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Jia-Qi LiDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Xiao-Cong YinDepartment of Laboratory Medicine, School of Medical Technology, Xuzhou Medical University, Xuzhou, China.
Wen-Wen XuDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Ya-Cheng PanDepartment of Basic Medicine and Biological Science, Soochow University, Suzhou, China.
Qing-Hua LiuState Key Laboratory of Quality Research in Chinese Medicines, Macau University of Science and Technology, Macao, Macau SAR, China.
Bing GuDepartment of Laboratory Medicine, School of Medical Technology, Xuzhou Medical University, Xuzhou, China.
Xiao ZhangDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.
Liang WangDepartment of Bioinformatics, School of Medical Informatics and Engineering, Xuzhou Medical University, Xuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With its low-cost, label-free and non-destructive features, Raman spectroscopy is becoming an attractive technique with high potential to discriminate the causative agent of bacterial infections and bacterial infections

Indexed as

bacterial pathogenconvolutional neural networklong short-term memorymachine learningsurface enhanced Raman spectra

Identifiers

PMID35464991
PMCPMC9024395

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.