Evidence map›Paper›PMID 40277704›Full record

ReviewGels (Basel, Switzerland)2025

Molecularly Imprinted Polymer Advanced Hydrogels as Tools for Gastrointestinal Diagnostics.

Tatjana Ivaskiene, Greta Kaspute, Arunas Ramanavicius, Urte Prentice

Abstract readReview
In one paragraph

Review in Gels (Basel, Switzerland), 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Tatjana IvaskieneState Research Institute Centre for Innovative Medicine, LT-08410 Vilnius, Lithuania.ORCID 0000-0003-2064-6792
Greta KasputeState Research Institute Centre for Innovative Medicine, LT-08410 Vilnius, Lithuania.ORCID 0009-0002-0605-3317
Arunas RamanaviciusDepartment of Nanotechnology, State Research Institute Center for Physical Sciences and Technology (FTMC), LT-10257 Vilnius, Lithuania.ORCID 0000-0002-0885-3556
Urte PrenticeState Research Institute Centre for Innovative Medicine, LT-08410 Vilnius, Lithuania.ORCID 0000-0001-6118-3777

Funding

Lietuvos Mokslo Taryba No S-MIP-24-111
6 · The paper itself

Abstract

Gastroenterology faces significant challenges due to the global burden of gastrointestinal (GI) diseases, driven by socio-economic disparities and their wide-ranging impact on health and healthcare systems. Advances in molecularly imprinted polymers (MIPs) offer promising opportunities for developing non-invasive, cost-effective diagnostic tools that enhance the accuracy and accessibility of GI disease detection. This research explores the potential of MIP-based sensors in revolutionizing gastrointestinal diagnostics and improving early detection and disease management. Biomarkers are vital in diagnosing, monitoring, and personalizing disease treatment, particularly in gastroenterology, where advancements like MIPs offer highly selective and non-invasive diagnostic solutions. MIPs mimic natural recognition mechanisms, providing stability and sensitivity even in complex biological environments, making them ideal for early disease detection and real-time monitoring. Their integration with advanced technologies, including conducting polymers, enhances their functionality, enabling rapid, point-of-care diagnostics for gastrointestinal disorders. Despite regulatory approval and scalability challenges, ongoing innovations promise to revolutionize diagnostics and improve patient outcomes through precise approaches.

Indexed as

biomedical diagnosticsbiosensorsgastrointestinal disordersmolecularly imprinted polymerssynthetic receptors

Identifiers

PMID40277704
PMCPMC12026608

What Socratic 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 Socratic graph.