Evidence map›Paper›PMID 39771612›Full record

ReviewSensors (Basel, Switzerland)2024

New Challenges in Bladder Cancer Diagnosis: How Biosensing Tools Can Lead to Population Screening Opportunities.

Fabiana Tortora, Antonella Guastaferro, Simona Barbato, Ferdinando Febbraio, Amelia Cimmino

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2024. 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. The Stalk Sign in Bladder Cancer: CEUS Versus MRI.Diagnostics (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Review
  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

5 authors.

Fabiana TortoraInstitute of Genetics and Biophysics "A. Buzzati Traverso", National Research Council (CNR), 80131 Naples, Italy.ORCID 0000-0002-7594-102X
Antonella GuastaferroInstitute of Genetics and Biophysics "A. Buzzati Traverso", National Research Council (CNR), 80131 Naples, Italy.
Simona BarbatoInstitute of Genetics and Biophysics "A. Buzzati Traverso", National Research Council (CNR), 80131 Naples, Italy.
Ferdinando FebbraioInstitute of Biochemistry and Cell Biology, National Research Council (CNR), 80131 Naples, Italy.ORCID 0000-0002-3653-9847
Amelia CimminoInstitute of Genetics and Biophysics "A. Buzzati Traverso", National Research Council (CNR), 80131 Naples, Italy.ORCID 0000-0002-0004-9299

Funding

Ministero dell'università e della ricerca PRIN-PNRR -P2022F79PA_001
6 · The paper itself

Abstract

Bladder cancer is one of the most common cancers worldwide. Despite its high incidence, cystoscopy remains the currently used diagnostic gold standard, although it is invasive, expensive and has low sensitivity. As a result, the cancer diagnosis is mostly late, as it occurs following the presence of hematuria in urine, and population screening is not allowed. It would therefore be desirable to be able to act promptly in the early stage of the disease with the aid of biosensing. The use of devices/tools based on genetic assessments would be of great help in this field. However, the genetic differences between populations do not allow accurate analysis in the context of population screening. Current research is directed towards the discovery of universal biomarkers present in urine with the aim of providing an approach based on a non-invasive, easy-to-perform, rapid, and accurate test that can be widely used in clinical practice for the early diagnosis and follow-up of bladder cancer. An efficient biosensing device may have a disruptive impact in terms of patient health and disease management, contributing to a decrease in mortality rate, as well as easing the social and economic burden on the national healthcare system. Considering the advantage of accessing population screening for early diagnosis of cancer, the main challenges and future perspectives are critically discussed to address the research towards the selection of suitable biomarkers for the development of a very sensitive biosensor for bladder cancer.

Indexed as

Biomarkers, TumorBiosensing TechniquesEarly Detection of CancerUrinary Bladder NeoplasmsHumansMass ScreeningBiomarkers, Tumorbiomarkersbladder cancer diagnosislncRNApopulation screening

Identifiers

PMID39771612
PMCPMC11679013

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.