Evidence map›Paper›PMID 29258216›Full record

ReviewSensors (Basel, Switzerland)2017

Lab-on-a-Chip Platforms for Detection of Cardiovascular Disease and Cancer Biomarkers.

Jiandong Wu, Meili Dong, Susy Santos, Claudio Rigatto, Yong Liu, Francis Lin

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  11. Modified ELISA for Ultrasensitive Diagnosis.Journal of clinical medicine · 2021
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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.

Jiandong WuDepartment of Physics and Astronomy, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada. wujd@physics.umanitoba.ca.
Meili DongDepartment of Physics and Astronomy, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada. dongmeili@aiofm.ac.cn.
Susy SantosVictoria General Hospital and River Heights/Fort Garry Community Areas, Winnipeg, MB, R3T 2E8, Canada. ssantos3@vgh.mb.ca.
Claudio RigattoSeven Oaks General Hospital, Winnipeg, MB, R2V 3M3, Canada. CRIGATTO@sbgh.mb.ca.
Yong LiuInstitute of Applied Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230088, China. liuyong@aiofm.ac.cn.
Francis LinDepartment of Physics and Astronomy, University of Manitoba, Winnipeg, MB, R3T 2N2, Canada. flin@physics.umanitoba.ca.ORCID 0000-0003-1736-193X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) and cancer are two leading causes of death worldwide. CVD and cancer share risk factors such as obesity and diabetes mellitus and have common diagnostic biomarkers such as interleukin-6 and C-reactive protein. Thus, timely and accurate diagnosis of these two correlated diseases is of high interest to both the research and healthcare communities. Most conventional methods for CVD and cancer biomarker detection such as microwell plate-based immunoassay and polymerase chain reaction often suffer from high costs, low test speeds, and complicated procedures. Recently, lab-on-a-chip (LoC)-based platforms have been increasingly developed for CVD and cancer biomarker sensing and analysis using various molecular and cell-based diagnostic biomarkers. These new platforms not only enable better sample preparation, chemical manipulation and reaction, high-throughput and portability, but also provide attractive features such as label-free detection and improved sensitivity due to the integration of various novel detection techniques. These features effectively improve the diagnostic test speed and simplify the detection procedure. In addition, microfluidic cell assays and organ-on-chip models offer new potential approaches for CVD and cancer diagnosis. Here we provide a mini-review focusing on recent development of LoC-based methods for CVD and cancer diagnostic biomarker measurements, and our perspectives of the challenges, opportunities and future directions.

Indexed as

Lab-On-A-Chip DevicesBiomarkersCardiovascular DiseasesHumansMicrofluidic Analytical TechniquesMicrofluidicsNeoplasmsPoint-of-Care SystemsBiomarkersbiomarkercancercardiovascular diseaselab-on-a-chipmicrofluidicpoint-of-care

Identifiers

PMID29258216
PMCPMC5751502

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.