Evidence map›Paper›PMID 40369291›Full record

ReviewMikrochimica acta2025

Fundamentals and research progression on electrochemical sensing of colorectal cancer.

Heru Agung Saputra, Md Mobarok Karim

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mikrochimica acta, 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. 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

2 authors.

Heru Agung SaputraIndependent Scholar, Metro, Lampung, 34123, Indonesia. saputraha@outlook.com.
Md Mobarok KarimDepartment of Genetic Engineering and Biotechnology, Shahjalal University of Science and Technology, Sylhet, 3114, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is a type of malignant disease that affects the large intestine (colon) and rectum. The CRC is among the causes of the highest mortality rates worldwide, so its rapid and sensitive early diagnosis is substantial. In the last few decades, CRC detection by electrochemical biosensors has progressed significantly due to their amenability and cost-effectiveness. Various electrochemical sensing strategies have been implemented, involving CRC biomarkers, such as protein, gene, or even CRC cells, that play a crucial role in screening tests, treatment, and prognosis. Electrochemical sensors are favored in this regard, owing to their ability to provide real-time, on-site detection with a straightforward preparation of samples. The present work provides an overview from the basic concepts to the recent research advances in electrochemical CRC biosensors for the management of patients. The review covers the importance of CRC detection, an introduction to electrochemical sensors, and cutting-edge electrochemical CRC biosensors. Further, challenges, limitations, and future research directions in developing and applying electrochemical sensing tools for CRC biomarkers are also comprehensively discussed. By consolidating the current research status, the present work aims to inspire further innovation in the development of electrochemical CRC biosensors. The insights presented here are expected to contribute to advancing more efficient, accessible diagnostic devices for CRC in the future.

Indexed as

Biosensing TechniquesColorectal NeoplasmsElectrochemical TechniquesBiomarkers, TumorHumansBiomarkers, TumorColorectal cancerCRC biomarkerCRC early detectionCRC managementCutting-edge electrochemical CRC sensorElectrochemical biosensorElectrode surface modification

Identifiers

What OpenQuestion holds

Textmetadata
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.