Evidence map›Paper›PMID 39429926›Full record

ArticleRSC advances2024

Accurate and sensitive dual-response fluorescence detection of microRNAs based on an upconversion nanoamplicon with red emission.

Lingling Huang, Yi Zhou, Liang Xu, Xin Ruan, Zhao Huang, Yue Ke, Lisong Lin, Qiuling Tang

Abstract read
In one paragraph

Article in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

8 authors.

Lingling HuangDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University Fuzhou 350001 China huanglings2024@yeah.net dr_lls@fjmu.edu.cn.ORCID https://orcid.org/0009-0003-3703-6779
Yi ZhouDepartment of Stomatology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China 1099524983@qq.com.
Liang XuDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University Fuzhou 350001 China huanglings2024@yeah.net dr_lls@fjmu.edu.cn.
Xin RuanDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University Fuzhou 350001 China huanglings2024@yeah.net dr_lls@fjmu.edu.cn.
Zhao HuangDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University Fuzhou 350001 China huanglings2024@yeah.net dr_lls@fjmu.edu.cn.
Yue KeDepartment of Stomatology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China 1099524983@qq.com.
Lisong LinDepartment of Stomatology, The First Affiliated Hospital of Fujian Medical University Fuzhou 350001 China huanglings2024@yeah.net dr_lls@fjmu.edu.cn.
Qiuling TangDepartment of Stomatology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science Xiangyang 441000 China 1099524983@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oral squamous cell carcinoma (OSCC) is the most common type of oral cancer. In recent years, researchers have found a close relationship between microRNAs (miRNAs) and OSCC. In addition, miRNAs are highly stable in tissues and circulation, and are also considered potential biomarkers for cancer detection and prognosis. Among a variety of tools for miRNAs with low abundance, single red-emitting UCNP-based biosensors have attracted special interest due to their unique properties, including deep organizational penetration, weak radiation damage, and low autofluorescence. Additionally, the measurement of low-abundance analytes

Identifiers

PMID39429926
PMCPMC11487471

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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.