Evidence map›Paper›PMID 35996437›Full record

ArticleACS nanoscience Au2022

Gold Nanoparticle Smartphone Platform for Diagnosing Urinary Tract Infections.

Kyryl Zagorovsky, Maria Teresa Fernández-Argüelles, Diane Bona, Ashraf Mohamed Elshawadfy, Abdullah Muhammad Syed, Pranav Kadhiresan, Tony Mazzulli, Karen L Maxwell, Warren C W Chan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS nanoscience Au, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. 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

9 authors.

Kyryl ZagorovskyInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada.
Maria Teresa Fernández-ArgüellesInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada.
Diane BonaDepartment of Biochemistry, University of Toronto, 661 University Avenue, Toronto, Ontario M5G 1M1, Canada.
Ashraf Mohamed ElshawadfyDonnelly Centre for Cellular and Biomolecular Research, University of Toronto, 160 College Street, Toronto, Ontario M5S 3E1, Canada.
Abdullah Muhammad SyedInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada.ORCID https://orcid.org/0000-0001-9156-9662
Pranav KadhiresanInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada.
Tony MazzulliDepartment of Microbiology, Mount Sinai Hospital/University Health Network, 600 University Avenue, Toronto, Ontario M5G 1X5, Canada.
Karen L MaxwellDepartment of Biochemistry, University of Toronto, 661 University Avenue, Toronto, Ontario M5G 1M1, Canada.
Warren C W ChanInstitute of Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada.ORCID https://orcid.org/0000-0001-5435-4785

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current urinary tract infection (UTI) diagnostic methods are slow or provide limited information, resulting in prescribing antibiotic therapy before bacterial pathogen identification. Here, we adapted a gold nanoparticle colorimetric approach and developed a smartphone platform for UTI detection. We show the parallel identification of five major UTI pathogens at clinically relevant concentrations of 10

Identifiers

PMID35996437
PMCPMC9389610

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.