Evidence map›Paper›PMID 40002643›Full record

ArticleDiagnostics (Basel, Switzerland)2025

Liquid Biopsy Based Bladder Cancer Diagnostic by Machine Learning.

Ērika Bitiņa-Barlote, Dmitrijs Bļizņuks, Sanda Siliņa, Mihails Šatcs, Egils Vjaters, Vilnis Lietuvietis, Miki Nakazawa-Miklaševiča, Juris Plonis, Edvīns Miklaševičs, Zanda Daneberga and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2025. 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
–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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

11 authors.

Ērika Bitiņa-BarloteInstitute of Oncology and Molecular Genetics, Riga Stradins University, LV-1002 Riga, Latvia.
Dmitrijs BļizņuksInstitute of Applied Computer Systems, Faculty of Computer Science, Information Technology and Energy, Riga Technical University, LV-1048 Riga, Latvia.ORCID 0000-0003-4252-9220
Sanda SiliņaClinic of Urology and Oncological Urology, Riga East University Hospital, LV-1079 Riga, Latvia.
Mihails ŠatcsInstitute of Oncology and Molecular Genetics, Riga Stradins University, LV-1002 Riga, Latvia.
Egils VjatersInstitute of Oncology and Molecular Genetics, Riga Stradins University, LV-1002 Riga, Latvia.
Vilnis LietuvietisClinic of Urology and Oncological Urology, Riga East University Hospital, LV-1079 Riga, Latvia.
Miki Nakazawa-MiklaševičaInstitute of Oncology and Molecular Genetics, Riga Stradins University, LV-1002 Riga, Latvia.ORCID 0000-0001-8198-0060
Juris PlonisInstitute of Oncology and Molecular Genetics, Riga Stradins University, LV-1002 Riga, Latvia.
Edvīns MiklaševičsInstitute of Oncology and Molecular Genetics, Riga Stradins University, LV-1002 Riga, Latvia.ORCID 0000-0002-7817-4268
Zanda DanebergaInstitute of Oncology and Molecular Genetics, Riga Stradins University, LV-1002 Riga, Latvia.ORCID 0000-0003-0887-2973
Jānis GardovskisDepartment of Surgery, Riga Stradins University, LV-1002 Riga, Latvia.

Funding

Ministry of Economics "State research project in the field of biomedicine, medical technologies and pharmacy" No. VPP-EM-BIOMEDICĪNA-2022/1-0001
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencebiofluidsbiomarkerbladder cancerliquid biopsymachine learningmiRNAsmulti-modal dataurine exosomes

Identifiers

PMID40002643
PMCPMC11854734

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.