Evidence map›Paper›PMID 37887119›Full record

ReviewBiosensors2023

Current Status and Emerging Trends in Colorectal Cancer Screening and Diagnostics.

Shreya Singh Beniwal, Paula Lamo, Ajeet Kaushik, Dionisio Lorenzo Lorenzo-Villegas, Yuguang Liu, ArunSundar MohanaSundaram

Open access · goldAbstract readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
5.5field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 citations in OpenAlex.

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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

6 authors at 6 institutions in 3 countries.

Shreya Singh BeniwalLady Hardinge Medical College, Connaught Place, New Delhi 110001, India.ORCID 0009-0001-7073-8639
Paula LamoEscuela Superior de Ingeniería y Tecnología, Universidad Internacional de La Rioja, 26006 Logroño, Spain.ORCID 0000-0002-5877-045X
Ajeet KaushikNanoBioTech Laboratory, Department of Environmental Engineering, Florida Polytechnic University, Lakeland, FL 33805, USA.ORCID 0000-0003-4206-1541
Dionisio Lorenzo Lorenzo-VillegasFaculty of Health Sciences, University Fernando Pessoa-Canarias, 35450 Santa Maria de Guia, Spain.ORCID 0000-0002-5988-8222
Yuguang LiuDepartments of Physiology and Biomedical Engineering, Immunology and Surgery, Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN 55905, USA.ORCID 0000-0002-1189-6231
ArunSundar MohanaSundaramSchool of Pharmacy, Sathyabama Institute of Science and Technology, Chennai 600 119, India.ORCID 0000-0002-2483-7679
Florida Polytechnic University · USLady Hardinge Medical College · INMayo Clinic · USSathyabama Institute of Science and Technology · INUniversidad Fernando Pessoa Canarias · ESUniversidad Internacional De La Rioja · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is a prevalent and potentially fatal disease categorized based on its high incidences and mortality rates, which raised the need for effective diagnostic strategies for the early detection and management of CRC. While there are several conventional cancer diagnostics available, they have certain limitations that hinder their effectiveness. Significant research efforts are currently being dedicated to elucidating novel methodologies that aim at comprehending the intricate molecular mechanism that underlies CRC. Recently, microfluidic diagnostics have emerged as a pivotal solution, offering non-invasive approaches to real-time monitoring of disease progression and treatment response. Microfluidic devices enable the integration of multiple sample preparation steps into a single platform, which speeds up processing and improves sensitivity. Such advancements in diagnostic technologies hold immense promise for revolutionizing the field of CRC diagnosis and enabling efficient detection and monitoring strategies. This article elucidates several of the latest developments in microfluidic technology for CRC diagnostics. In addition to the advancements in microfluidic technology for CRC diagnostics, the integration of artificial intelligence (AI) holds great promise for further enhancing diagnostic capabilities. Advancements in microfluidic systems and AI-driven approaches can revolutionize colorectal cancer diagnostics, offering accurate, efficient, and personalized strategies to improve patient outcomes and transform cancer management.

Indexed as

Artificial IntelligenceColorectal NeoplasmsEarly Detection of CancerHumansMicrofluidicsTechnologycolorectal cancerdiagnosticmicrofluidicsnon-invasivestandard practices

Identifiers

PMID37887119
PMCPMC10605407
OpenAlexW4387642583

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.