Evidence map›Paper›PMID 40182772›Full record

ArticleFrontiers in cellular and infection microbiology2025

Rapid and sensitive identification of

Yuxin Wang, Xiaoping Chen, Kenan Peng, Yanqing Tie, Yuan Gao, Zhiqiang Han, Xiaona Lyu, Hongyi Li, Ruiqing Zhang, Shijue Gao and 3 more

Abstract readEvaluation Study
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Nucleic Acid Amplification Tests forPathogens (Basel, Switzerland) · 2026
    Pooled it
  2. Review
  3. Article
  4. Article
  5. 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

13 authors.

Yuxin WangGraduate School, Hebei Medical University, Shijiazhuang, Hebei Province, China.
Xiaoping ChenNational Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Kenan PengDepartment of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, Hebei Province, China.
Yanqing TieDepartment of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, Hebei Province, China.
Yuan GaoDepartment of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, Hebei Province, China.
Zhiqiang HanGraduate School, Hebei Medical University, Shijiazhuang, Hebei Province, China.
Xiaona LyuGraduate School, Hebei North University, Zhangjiakou, Hebei Province, China.
Hongyi LiGraduate School, Hebei North University, Zhangjiakou, Hebei Province, China.
Ruiqing ZhangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Shijue GaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xinxin ShenNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xuejun MaNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhishan FengDepartment of Clinical Laboratory, Hebei General Hospital, Shijiazhuang, Hebei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Clinically, timely diagnosis and effective treatment of Methods: We used the M1-mRAP method aimed at detecting Results: The limit of detection(LOD) for CA, CT, and CG by the mRAP method were 4, 4, and 3 copies/μL, respectively. The LOD for CA, CT, and CG simulated blood samples by the M1-mRAP were 2, 2, and 1 CFU/mL, and the overall detection time was about 3.5 h. Clinical assays of mRAP and M1-mRAP showed that these two methods were consistent with qPCR (P<0.05), but had better clinical detection ability than qPCR. Specifically, the mRAP method identified 5 (4.2%) qPCR-negative samples, while M1-mRAP detected 1 (11.1%) classified as the qPCR grey zone sample. Conclusion: The M1-mRAP method provides rapid and sensitive detection of low concentrations of CA, CT, and CG blood samples and has the potential to emerge as an important tool for the early detection of

Indexed as

BloodCandidaCandidemiaCandidiasisMolecular Diagnostic TechniquesMultiplex Polymerase Chain ReactionPolymerase Chain ReactionCandida albicansCandida glabrataCandida tropicalisDNA, FungalHumansLimit of DetectionRecombinasesSensitivity and SpecificityDNA, FungalRecombinasesbloodstream infectionCandidamultiple detectionrecombinant human mannan-binding lectin protein beads (M1 beads)recombinase-aided PCR assay(RAP)

Identifiers

PMID40182772
PMCPMC11966459

What OpenQuestion holds

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LicenceCC BY
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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.