Evidence map›Paper›PMID 30839718›Full record

ArticleRoyal Society open science2018

Portable bacteria-capturing chip for direct surface-enhanced Raman scattering identification of urinary tract infection pathogens.

Danting Yang, Haibo Zhou, Nicoleta E Dina, Christoph Haisch

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.2field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 43 citations in OpenAlex.

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  9. Polymerase/Nicking Enzyme Powered Dual-template Multi-cycle G-Triplex Machine for HIV-1 Determination.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
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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

4 authors at 4 institutions in 3 countries.

Danting YangDepartment of Preventative Medicine, Zhejiang Provincial Key Laboratory of Pathological and Physiological Technology, Medical School of Ningbo University, 818 Fenghua Road, Ningbo, Zhejiang Province 315211, People's Republic of China.ORCID 0000-0002-5635-6474
Haibo ZhouDepartment of Pharmacy and Guangdong Province Key Laboratory of Pharmacodynamic of Traditional Chinese Medicine and New Drug Research, Jinan University, Guangzhou, Guangdong Province 510632, People's Republic of China.
Nicoleta E DinaDepartment of Molecular and Biomolecular Physics, National Institute of R&D of Isotopic and Molecular Technologies, 67-103 Donat, 400293 Cluj-Napoca, Romania.
Christoph HaischChair for Analytical Chemistry, Institute of Hydrochemistry, Technische Universität München, Marchioninistrasse 17, 81377 Munich, Germany.
Jinan University · CNNational Institute for Research and Development of Isotopic and Molecular Technologies · RONingbo University · CNTechnical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute urinary tract infections (UTIs) are one of the most common nosocomial bacterial infections, which affect almost 50% of the population at least once in their lifetime. UTIs may lead to lethal consequences if they are left undiagnosed and not properly treated. Early, rapid and accurate uropathogens detection methods play a pivotal role in clinical process. In this work, a portable bacteria-grasping surface-enhanced Raman scattering (SERS) chip for identification of three species of uropathogens (

Indexed as

chiprapid detectionsurface-enhanced Raman scatteringurinary tract infections

Identifiers

PMID30839718
PMCPMC6170559
OpenAlexW2891788346

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.