Evidence map›Paper›PMID 33603361›Full record

ArticleInternational journal of nanomedicine2021

Rapid Detection Method for Pathogenic

Shan Hu, Haiquan Kang, Feng Gu, Chongwen Wang, Siyun Cheng, Wenjing Gong, Liping Wang, Bing Gu, Ying Yang

Abstract read
In one paragraph

Article in International journal of nanomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Preparation and MR Imaging Study of a Recombinant Surface Antibody Superparamagnetic Iron Oxide Nanoparticle-EPC1 Molecular Probe for Hepatic Alveolar Echinococcosis.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026
    Article
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  6. Article
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  9. Article
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  13. A SERS Platform for Rapid Detection of Drug Resistance of Non-International journal of nanomedicine · 2022
    Article
  14. Review
  15. Probiotics: Potential Novel Therapeutics Against Fungal Infections.Frontiers in cellular and infection microbiology · 2021
    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

9 authors.

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.
Haiquan Kang *Department of Laboratory Medicine, The Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221006, People's Republic of China.
Feng Gu *Department of Laboratory Medicine, Xuzhou Tumor Hospital, Xuzhou, 221005, 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.ORCID 0000-0002-7096-6527
Siyun ChengXuzhou Key Laboratory of Laboratory Diagnostics, Medical Technology School of Xuzhou Medical University, Xuzhou, 221004, People's Republic of China.
Wenjing GongDepartment 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.
Liping 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.
Bing GuXuzhou Key Laboratory of Laboratory Diagnostics, Medical Technology School of Xuzhou Medical University, Xuzhou, 221004, 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCandidemia infection is common in the clinic and has a high mortality rate. MATERIALS AND

methodsWe synthesized Fe

resultsOrthogonal partial least squares discriminant analysis (OPLS-DA) was used as the multivariate analysis tool. Principal component analysis confirmed that this method can clearly distinguish common

conclusionThe detection could be completed within 40 minutes using Fe

Indexed as

CandidaCandida albicansDiscriminant AnalysisHumansLeast-Squares AnalysisMagnetite NanoparticlesMetal NanoparticlesMultivariate AnalysisPolyethyleneimineSilverSpectrum Analysis, RamanMagnetite NanoparticlesPolyethyleneimineSilver10-fold cross-validationcaptureorthogonal partial least squares discriminant analysispositively charged silver nanoparticlessurface-enhanced Raman scattering

Identifiers

PMID33603361
PMCPMC7884937

What OpenQuestion holds

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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.