Evidence map›Paper›PMID 24404008›Full record

ArticleBiomicrofluidics2013

A negative-pressure-driven microfluidic chip for the rapid detection of a bladder cancer biomarker in urine using bead-based enzyme-linked immunosorbent assay.

Yen-Heng Lin, Ying-Ju Chen, Chao-Sung Lai, Yi-Ting Chen, Chien-Lun Chen, Jau-Song Yu, Yu-Sun Chang

Open access · bronzeAbstract read
In one paragraph

Article in Biomicrofluidics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 7% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
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  4. Shedding Light on Bladder Cancer Diagnosis in Urine.Diagnostics (Basel, Switzerland) · 2020
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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

7 authors at 2 institutions in 1 country.

Yen-Heng LinDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan ; Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan ; Graduate Institute of Medical Mechatronics, Chang Gung University, Taoyuan 333, Taiwan.
Ying-Ju ChenDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan.
Chao-Sung LaiDepartment of Electronic Engineering, Chang Gung University, Taoyuan 333, Taiwan ; Healthy Aging Research Center, Chang Gung University, Taoyuan 333, Taiwan.
Yi-Ting ChenMolecular Medicine Research Center, Chang Gung University, Taoyuan 333, Taiwan.
Chien-Lun ChenChang Gung Bioinformatics Center, Department of Urology, Chang Gung Memorial Hospital, Taoyuan 333, Taiwan.
Jau-Song YuMolecular Medicine Research Center, Chang Gung University, Taoyuan 333, Taiwan.
Yu-Sun ChangMolecular Medicine Research Center, Chang Gung University, Taoyuan 333, Taiwan.
Chang Gung University · TWChang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes an integrated microfluidic chip that is capable of rapidly and quantitatively measuring the concentration of a bladder cancer biomarker, apolipoprotein A1, in urine samples. All of the microfluidic components, including the fluid transport system, the micro-valve, and the micro-mixer, were driven by negative pressure, which simplifies the use of the chip and facilitates commercialization. Magnetic beads were used as a solid support for the primary antibody, which captured apolipoprotein A1 in patients' urine. Because of the three-dimensional structure of the magnetic beads, the concentration range of the target that could be detected was as high as 2000 ng ml(-1). Because this concentration is 100 times higher than that quantifiable using a 96-well plate with the same enzyme-linked immunosorbent assay (ELISA) kit, the dilution of the patient's urine can be avoided or greatly reduced. The limit of detection was determined to be approximately 10 ng ml(-1), which is lower than the cutoff value for diagnosing bladder cancer (11.16 ng ml(-1)). When the values measured using the microfluidic chip were compared with those measured using conventional ELISA using a 96-well plate for five patients, the deviations were 0.9%, 6.8%, 9.4%, 1.8%, and 5.8%. The entire measurement time is 6-fold faster than that of conventional ELISA. This microfluidic device shows significant potential for point-of-care applications.

Identifiers

PMID24404008
PMCPMC3606202
OpenAlexW2035882743

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.