Evidence map›Paper›PMID 39337772›Full record

ArticleMicromachines2024

Monitoring

Yuxin Wang, Yun-Sheng Chan, Eugene Lee, Donglu Shi, Chen-Yi Lee, Jiajie Diao

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Yuxin WangDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.ORCID 0000-0002-4535-2136
Yun-Sheng ChanDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.
Eugene LeeInstitute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Donglu ShiThe Materials Science and Engineering Program, Department of Mechanical and Materials Engineering, College of Engineering and Applied Science, University of Cincinnati, Cincinnati, OH 45221, USA.ORCID 0000-0002-0837-7780
Chen-Yi LeeInstitute of Electronics, National Yang Ming Chiao Tung University, Hsinchu 30010, Taiwan.
Jiajie DiaoDepartment of Cancer Biology, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to clean water is fundamental to public health and safety, serving as the cornerstone of well-being in communities. Despite the significant investments of millions of dollars in water testing and treatment processes, the United States continues to grapple with over 7 million waterborne-related cases annually. This persistent challenge underscores the pressing need for the development of a new, efficient, rapid, low-cost, and reliable method for ensuring water quality. The urgency of this endeavor cannot be overstated, as it holds the potential to safeguard countless lives and mitigate the pervasive risks associated with contaminated water sources. In this study, we introduce a biochip LAMP assay tailored for water source monitoring. Our method swiftly detects even extremely low concentrations of

Indexed as

digital microfluidic biochip (DMFB)Escherichia coliloop-mediated isothermal amplification (LAMP)micro-electrode dot array (MEDA)programmable biochipwater quality monitoring

Identifiers

PMID39337772
PMCPMC11434098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.