Evidence map›Paper›PMID 36359539›Full record

ReviewDiagnostics (Basel, Switzerland)2022

Detection of Urinary Molecular Marker Test in Urothelial Cell Carcinoma: A Review of Methods and Accuracy.

Catalin Bulai, Petrisor Geavlete, Cosmin-Victor Ene, Isabela Bulai, Razvan-Ionut Popescu, Cristian Mares, Corina Daniela Ene, Ana-Maria Punga, Bogdan Geavlete

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
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 at 2 institutions in 1 country.

Catalin BulaiFaculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0003-0340-7044
Petrisor GeavleteFaculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Cosmin-Victor EneFaculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-1357-9504
Isabela BulaiDepartment of Animal Productions and Public Health, University of Agronomic Sciences and Veterinary Medicine of Bucharest, 011464 Bucharest, Romania.
Razvan-Ionut PopescuFaculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-6614-2816
Cristian MaresFaculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0003-1005-7388
Corina Daniela EneFaculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Ana-Maria Punga"Saint John" Emergency Clinical Hospital, 042122 Bucharest, Romania.
Bogdan GeavleteFaculty of Medicine, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Carol Davila University of Medicine and Pharmacy · ROClinical Emergency Hospital Bucharest · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early detection of bladder cancer has a positive impact on prognosis. A variety of biomarkers have been developed to detect bladder tumors in urine early and reduce the need for cystoscopy. To detect bladder cancer, several methods are available, but their accuracy varies according to the sensitivity and specificity of each method. This review aims to highlight the established detection methods for bladder cancer based on the available literature. In addition, we aim to identify the combination of different effective detection methods that provides the highest degree of accuracy. In our study, a keyword retrieval method was used to search for appropriate English-language references. This bibliography has been indexed in PubMed and Scopus or has been found through systematic searches from 2015 to 2022. Based on an analysis of international guidelines, it has been revealed that there are numerous discrepancies and unresolved issues. The discovery of an ideal detection method for urothelial cell carcinoma biomarkers has been the subject of numerous efforts. In recent years, a wide range of off-label, experimental, novel, and combined approaches have been published on this topic. This review can contribute to the identification of accurate methods of detecting bladder cancer and highlight areas for future research that can be improved.

Indexed as

bladder cancer detectionFGFR3molecular marker testNMP22urothelial carcinomasUroVysion

Identifiers

PMID36359539
PMCPMC9689047
OpenAlexW4308444208

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.