Evidence map›Paper›PMID 40839245›Full record

ReviewAnalytical sciences : the international journal of the Japan Society for Analytical Chemistry2025

Current status of detection strategies for pathogenic Escherichia coli: a brief review and summary.

Xudong Xue, Min He, Peng Wang, Yan Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Analytical sciences : the international journal of the Japan Society for Analytical Chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Recent developments in rapid diagnostic methods for pathogenic bacteria.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  2. Recent developments in rapid diagnostic methods for pathogenic bacteria.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026
    Article
  3. Article
  4. 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

4 authors.

Xudong XueXi'an Innovation College of Yan'an University, Xi'an, 710100, China.
Min HeXi'an Innovation College of Yan'an University, Xi'an, 710100, China.
Peng WangXi'an Innovation College of Yan'an University, Xi'an, 710100, China.
Yan ZhangScience of Faculty, Kunming University of Science and Technology, Kunming, 650500, China. zhangyan_ecnu@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pathogenic E. coli, a significant concern for researchers and health organizations worldwide, has caused numerous large-scale bacterial infection deaths worldwide. Low-dose infection and high pathogenicity underscore the need for rapid and accurate detection of E. coli to control its infection and protect human health and public health safety. This review outlines the main detection strategies for E. coli in recent years and divides them into six categories: traditional plate colony counting, immunology, optics, molecular biology, electrochemical sensing, and microchip technology. Recent representative articles on E. coli detection are also summarized and analyzed, and their advantages and disadvantages are discussed. Additionally, this review also presents the future direction and prospects of E. coli detection strategies. The main objective of this paper is to provide a comprehensive overview and constructive ideas to develop efficient, advanced, and immediate detection methods for E. coli and pathogenic microorganism detection, emphasizing the need for such strategies.

Indexed as

Escherichia coliBiosensing TechniquesHumansElectrochemical sensingEscherichia coliImmunologyMicrochipMolecular biology

Identifiers

What OpenQuestion holds

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Registered trials

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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.