Evidence map›Paper›PMID 37510171›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Recent Advances in Colorimetric Tests for the Detection of Infectious Diseases and Antimicrobial Resistance.

Cagla Celik, Gamze Kalin, Zekeriya Cetinkaya, Nilay Ildiz, Ismail Ocsoy

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

5 authors.

Cagla CelikPharmacy Services Program, Vocational School of Health Services, Hitit University, Corum 19000, Turkey.ORCID 0000-0002-5703-2375
Gamze KalinDepartment of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Erciyes University, Kayseri 38039, Turkey.
Zekeriya CetinkayaKayseri State Hospital, Kayseri 38039, Turkey.
Nilay IldizMedical Imaging Department, Vocational School of Health Services, Bandırma Onyedi Eylul University, Bandirma 10200, Turkey.
Ismail OcsoyDepartment of Analytical Chemistry, Faculty of Pharmacy, Erciyes University, Kayseri 38039, Turkey.ORCID 0000-0002-5991-3934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of infection-causing microorganisms with sensitive, rapid, selective and economical diagnostic tests is critical to start the right treatment. With these tests, the spread of infections can be prevented. In addition to that, the detection of antimicrobial resistance also makes a significant contribution to public health. In recent years, different types of diagnostic tests have been developed as alternatives to traditional diagnostic tests used in clinics. In particular, colorimetric tests, which minimize the need for an instrument, have advantages owing to their cost effectiveness, rapid response and naked-eye detection and practical use. In this review, we especially focused on pH indicators and nanomaterial-based colorimetric tests in detection of infection-causing microorganisms and antimicrobial resistance.

Indexed as

antimicrobial resistancebacteriacolorimetric testsensor

Identifiers

PMID37510171
PMCPMC10377832

What OpenQuestion holds

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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.