Evidence map›Paper›PMID 41726764›Full record

ReviewNanotheranostics2026

Bioelectronics for

Kuldeep Mahato, Girijesh Kumar Patel

Abstract readReview
In one paragraph

Review in Nanotheranostics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Kuldeep MahatoDepartment of Biotechnology, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, 211004, India.
Girijesh Kumar PatelCancer and Stem Cell Laboratory, Department of Biotechnology, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, 211004, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment (TME) is a dynamic and heterogeneous niche that critically shapes cancer progression, immune evasion, and therapeutic resistance. Characterized by gradients in oxygen tension, pH, and metabolic activity, the TME offers a rich yet underexploited source of real-time biomarkers related to cancer. While conventional imaging techniques often lack the temporal resolution and molecular specificity to capture these rapid physiological changes, emerging miniaturized bioelectronics and multiplexed systems carry promise for

Indexed as

Biomarkers, TumorBiosensing TechniquesNeoplasmsTumor MicroenvironmentAnimalsElectrochemical TechniquesHumansMolecular ImagingBiomarkers, Tumorbioelectronic sensorselectrochemical biosensingin situ monitoringmolecular imagingnano-contrast agentstumor microenvironment

Identifiers

PMID41726764
PMCPMC12923308

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.