Evidence map›Paper›PMID 29569045›Full record

ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2018

Recent advances in rapid pathogen detection method based on biosensors.

Ying Chen, Zhenzhen Wang, Yingxun Liu, Xin Wang, Ying Li, Ping Ma, Bing Gu, Hongchun Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Ying ChenSchool of Medical Technology, Xuzhou Medical University, Xuzhou, 221004, China.
Zhenzhen WangSchool of Medical Technology, Xuzhou Medical University, Xuzhou, 221004, China.
Yingxun LiuDepartment of Cell Biology and Genetics, School of Basic Medical Sciences, Xian Jiaotong University Health Science Center, Xian, 710061, China.
Xin WangNanjing Jusha Display Technology Co., Ltd, Nanjing, 210036, China.
Ying LiSchool of Medical Technology, Xuzhou Medical University, Xuzhou, 221004, China.
Ping MaSchool of Medical Technology, Xuzhou Medical University, Xuzhou, 221004, China.
Bing GuSchool of Medical Technology, Xuzhou Medical University, Xuzhou, 221004, China. gb20031129@163.com.ORCID http://orcid.org/0000-0001-7764-3213
Hongchun LiSchool of Medical Technology, Xuzhou Medical University, Xuzhou, 221004, China. 13775891123@163.com.
Xuzhou Medical College · CNXi'an Jiaotong University · CN

Funding

Jiangsu Privincial Natural Science Foundation BK20170252Jiangsu Privincial Young Medical Talents QNRC2016780The National Natural Science Foundation of China 81702103the Natural Science Foundation of the Jiangsu Higher Education Institutions of China 16KJD320005Xuzhou Science and Technology Planning Project KC16SY157
6 · The paper itself

Abstract

As strain variation and drug resistance become more pervasive, the prevention and control of infection have been a serious problem in recent years. The detection of pathogen is one of the most important parts of the process of diagnosis. Having a series of advantages, such as rapid response, high sensitivity, ease of use, and low cost, biosensors have received much attention and been studied deeply. Moreover, relying on its characteristics of small size, real time, and multiple analyses, biosensors have developed rapidly and used widely and are expected to be applied for microbiological detection in order to meet higher accuracy required by clinical diagnosis. The main goal of this contribution is not to simply collect and list all papers related to pathogen detection based on biosensors published recently, but to discuss critically the development and application of many kinds of biosensors such as electrochemical (amperometric, impedimetric, potentiometric, and conductometric), optical (fluorescent, fibre optic and surface plasmon resonance), and piezoelectric (quartz crystal microbalances and atomic force microscopy) biosensors in pathogen detection as well as the comparisons with the existing clinical detection methods (traditional culture, enzyme-linked immunosorbent assay, polymerase chain reaction, and mass spectrometry).

Indexed as

BacteriaBacterial InfectionsBiosensing TechniquesEnzyme-Linked Immunosorbent AssayFood MicrobiologyHumansPolymerase Chain ReactionSurface Plasmon ResonanceVirus DiseasesVirusesBiosensorComparisonMedical detection methodsPathogen

Identifiers

PMID29569045
OpenAlexW2789675206

What OpenQuestion holds

Textmetadata
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.