Evidence map›Paper›PMID 32719360›Full record

ArticleScientific reports2020

A novel method for identifying and distinguishing Cryptococcus neoformans and Cryptococcus gattii by surface-enhanced Raman scattering using positively charged silver nanoparticles.

Shan Hu, Feng Gu, Min Chen, Chongwen Wang, Jia Li, Jian Yang, Guangyu Wang, Zhe Zhou, Ying Yang

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. CsDETC: detection and counting of small targetFrontiers in cellular and infection microbiology · 2025
    Article
  3. Review
  4. Review
  5. A Systematic Review ofLife (Basel, Switzerland) · 2023
    Review
  6. Review
  7. Article
  8. What's New inJournal of fungi (Basel, Switzerland) · 2022
    Review
  9. Cryptococcal meningitis due toBMJ case reports · 2022
    Article
  10. A SERS Platform for Rapid Detection of Drug Resistance of Non-International journal of nanomedicine · 2022
    Article
  11. Review
  12. Article
  13. Review
  14. Rapid Detection Method for PathogenicInternational journal of nanomedicine · 2021
    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 at 5 institutions in 1 country.

Shan Hu *Department of Biotechnology, Beijing Institute of Radiation Medicine, Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, People's Republic of China.
Feng Gu *Department of Laboratory Medicine, Xuzhou Tumor Hospital, Xuzhou, 221005, People's Republic of China.
Min ChenShanghai Key Laboratory of Molecular Medical Mycology, Department of Dermatology, Changzheng Hospital, Second Military Medical University, Shanghai, People's Republic of China.
Chongwen WangDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, People's Republic of China.
Jia LiDepartment of Laboratory Medicine, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing, 210008, People's Republic of China.
Jian YangDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, People's Republic of China.
Guangyu WangDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, People's Republic of China.
Zhe ZhouDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, People's Republic of China.
Ying YangDepartment of Biotechnology, Beijing Institute of Radiation Medicine, Beijing Key Laboratory of New Molecular Diagnosis Technologies for Infectious Diseases, Beijing, 100850, People's Republic of China. y_ying_77@163.com.
Anhui Agricultural University · CNJiangsu University · CNNanjing Drum Tower Hospital · CNSecond Military Medical University · CNXuzhou Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are approximately 1 million cryptococcal infections per year among HIV+ individuals, resulting in nearly 625,000 deaths. Cryptococcus neoformans and Cryptococcus gattii are the two most common species that cause human cryptococcosis. These two species of Cryptococcus have differences in pathogenicity, diagnosis, and treatment. Cryptococcal infections are usually difficult to identify because of their slow growth in vitro. In addition, the long detection cycle of Cryptococcus in clinical specimens makes the diagnosis of Cryptococcal infections difficult. Here, we used positively charged silver nanoparticles (AgNPs

Indexed as

CryptococcosisCryptococcus gattiiCryptococcus neoformansHumansMetal NanoparticlesMycological Typing TechniquesSilverSpectrum Analysis, RamanSilver

Identifiers

PMID32719360
PMCPMC7385644
OpenAlexW3045375001

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.