Evidence map›Paper›PMID 41492363›Full record

ArticleTrends in analytical chemistry : TRAC2024

Current smartphone-assisted point-of-care cancer detection: Towards supporting personalized cancer monitoring.

Linh Thi Phuong Le, Anh Hoang Quan Nguyen, Le Minh Tu Phan, Hien Thi Thanh Ngo, Xing Wang, Brian Cunningham, Enrique Valera, Rashid Bashir, Andrew W Taylor-Robinson, Cuong Danh Do

Abstract read
In one paragraph

Article in Trends in analytical chemistry : TRAC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Prevention of Gastric Cancer.Medicina (Kaunas, Lithuania) · 2026
    Review
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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

10 authors.

Linh Thi Phuong LeDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Anh Hoang Quan NguyenDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Le Minh Tu PhanDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Hien Thi Thanh NgoVinUni-Illinois Smart Health Center, VinUniversity, Vinhomes Ocean Park, Hanoi, 100000, Viet Nam.
Xing WangDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Brian CunninghamDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Enrique ValeraDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Rashid BashirDepartment of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, USA.
Andrew W Taylor-RobinsonVinUni-Illinois Smart Health Center, VinUniversity, Vinhomes Ocean Park, Hanoi, 100000, Viet Nam.
Cuong Danh DoVinUni-Illinois Smart Health Center, VinUniversity, Vinhomes Ocean Park, Hanoi, 100000, Viet Nam.

Funding

Smartphone-linked system for diagnosis and epidemiological reporting of pathogens at the point of careR01AI139401 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BASHIR, RASHID, CUNNINGHAM, BRIAN T. · 2019 to 2022
$1.7M
NIAID NIH HHS R01 AI139401
6 · The paper itself

Abstract

With the rising incidence of cancer-related mortality, new enabling technologies are necessary to offer comprehensive molecular profiles of patients in order to assist clinicians to establish an early presumptive diagnosis. Biosensors that are technically comparable to conventional laboratory diagnostics have been developed. However, because the manufacture and operation processes of these biosensors were not well adjusted for end-users as patients, the approach is not optimized in these newly built platforms. Hence, smartphone-assisted biosensors have been developed for point-of-care utilization. They are faster, simpler, and more affordable than standard examinations and first-generation biosensors, however, they raise numerous concerns regarding their applicability for early cancer detection. Therefore, this review focuses primarily on cutting edge developments in smartphone-assisted biosensing platforms that are most relevant to early cancer diagnosis, including optical and electrochemical biosensors, and cancer imaging. What is needed to bring this important technology to realization as early cancer diagnosis tool is discussed.

Indexed as

Cancer diagnosisCancer imagingElectrochemical biosensorOptical biosensor

Identifiers

PMID41492363
PMCPMC12765497

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Registered trials

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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.