Evidence map›Paper›PMID 33659273›Full record

ArticleFrontiers in molecular biosciences2020

Can new immunoassay techniques improve bladder cancer diagnostics With protein biomarkers?

Yuri M Shlyapnikov, Ekaterina A Malakhova, Andrey Z Vinarov, Andrey A Zamyatnin, Elena A Shlyapnikova

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2020. 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
0.8field-weighted citation impact, top 29% 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, 4 citations in OpenAlex.

  1. Advancements in biosensors for cancer detection: revolutionizing diagnostics.Medical oncology (Northwood, London, England) · 2024
    Review
  2. Multichannel dual protein sensing using amphiphilic supramolecular assemblies.Chemical communications (Cambridge, England) · 2021
    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 at 3 institutions in 1 country.

Yuri M ShlyapnikovInstitute of Theoretical and Experimental Biophysics RAS, Pushchino, Russia.
Ekaterina A MalakhovaInstitute of Theoretical and Experimental Biophysics RAS, Pushchino, Russia.
Andrey Z VinarovInstitute for Urology and Reproductive Health, Sechenov First Moscow State Medical University, Moscow, Russia.
Andrey A ZamyatninBelozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, Russia.
Elena A ShlyapnikovaInstitute of Theoretical and Experimental Biophysics RAS, Pushchino, Russia.
Institute of Theoretical and Experimental Biophysics · RUSechenov University · RUSirius University of Science and Technology · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The search for new diagnostic tests for cancer or ways to improve existing tests is primarily driven by the desire to identify the disease as early as possible. In this report, we summarize the current knowledge of the most promising diagnostic protein bladder cancer (BC) markers reported over the last decade. Unfortunately, analysis of published data suggests that a reliable, highly sensitive biomarker test-system based on ELISA for detecting BC has not yet been developed. The use of more sensitive assays to detect ultra-low concentrations of biomarkers not available for ELISA, could be very beneficial. Based on the literature and pilot experimental data, we conclude that a highly sensitive immunoassay using microarrays and magnetic labels, could be an effective and cheap technique suitable for the detection of diagnostically relevant BC biomarkers.

Indexed as

bladder cancerimmunoassaymagnetic labelsmicroarrayprotein biomarkers

Identifiers

PMID33659273
PMCPMC7917292
OpenAlexW3129454365

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.