Evidence map›Paper›PMID 37998557›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Assessment of UTI Diagnostic Techniques Using the Fuzzy-PROMETHEE Model.

Mariam Abobakr, Berna Uzun, Dilber Uzun Ozsahin, Tamer Sanlidag, Ayse Arikan

Open access · goldAbstract read
In one paragraph

Article 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 3 citations in OpenAlex.

  1. Therapeutic strategies for multi-resistantJAC-antimicrobial resistance · 2026
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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 at 2 institutions in 2 countries.

Mariam AbobakrDepartment of Medical Microbiology and Clinical Microbiology, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey.
Berna UzunDepartment of Mathematics, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey.ORCID 0000-0002-6828-2185
Dilber Uzun OzsahinDepartment of Medical Diagnostic Imaging, Collage of Health Sciences, University of Sharjah, Sharjah 27272, United Arab Emirates.
Tamer SanlidagDESAM Research Institute, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey.
Ayse ArikanDepartment of Medical Microbiology and Clinical Microbiology, Near East University, TRNC Mersin 10, Nicosia 99138, Turkey.
Near East University · CYUniversity of Sharjah · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate diagnosis of urinary tract infections (UTIs) is important as early diagnosis increases treatment rates, reduces the risk of infection and disease spread, and prevents deaths. This study aims to evaluate various parameters of existing and developing techniques for the diagnosis of UTIs, the majority of which are approved by the FDA, and rank them according to their performance levels. The study includes 16 UTI tests, and the fuzzy preference ranking organization method was used to analyze the parameters such as analytical efficiency, result time, specificity, sensitivity, positive predictive value, and negative predictive value. Our findings show that the biosensor test was the most indicative of expected test performance for UTIs, with a net flow of 0.0063. This was followed by real-time microscopy systems, catalase, and combined LE and nitrite, which were ranked second, third, and fourth with net flows of 0.003, 0.0026, and 0.0025, respectively. Sequence-based diagnostics was the least favourable alternative with a net flow of -0.0048. The F-PROMETHEE method can aid decision makers in making decisions on the most suitable UTI tests to support the outcomes of each country or patient based on specific conditions and priorities.

Indexed as

decision makingdiagnosisefficiencyfuzzy logicmulti criteria analysisurinary tract infection

Identifiers

PMID37998557
PMCPMC10670649
OpenAlexW4388572823

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.