Evidence map›Paper›PMID 25751686›Full record

ArticleAnalytical chemistry2015

Competitive volumetric bar-chart chip with real-time internal control for point-of-care diagnostics.

Ying Li, Jie Xuan, Tom Xia, Xin Han, Yujun Song, Zheng Cao, Xin Jiang, Yi Guo, Ping Wang, Lidong Qin

Abstract read
In one paragraph

Article in Analytical chemistry, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Technologies for Frugal and Sensitive Point-of-Care Immunoassays.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022
    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 at 3 institutions in 2 countries.

Ying Li†Department of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Jie Xuan§Department of Pathology and Genomic Medicine, Houston Methodist Hospital, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Tom Xia†Department of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Xin Han†Department of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Yujun Song†Department of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Zheng Cao§Department of Pathology and Genomic Medicine, Houston Methodist Hospital, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Xin Jiang∥Department of Geriatrics, The Second Clinical Medical College of Jinan University, Shenzhen, 518120, China.
Yi Guo⊥Department of Neurology, The Second Clinical Medical College of Jinan University, Shenzhen, 518120, China.
Ping Wang§Department of Pathology and Genomic Medicine, Houston Methodist Hospital, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Lidong Qin†Department of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Avenue, Houston, Texas 77030, United States.
Houston Methodist · USMethodist Hospital · USJinan University · CN

Funding

Development of a Point-of-Care Volumetric Bar-Chart Chip for Drug QuantitationR01DA035868 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI QIN, LIDONG, WANG, PING · 2013 to 2020
$4.3M
(PQA4) Point-of-Care Test of Exposure to Hepatocellular Carcinoma Risk by V-ChipR01CA180083 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI QIN, LIDONG, WU, XIFENG · 2013 to 2016
$2.1M
NCI NIH HHS R01 CA180083NIDA NIH HHS 1R01DA035868-01NIDA NIH HHS R01 DA035868
6 · The paper itself

Abstract

Point-of-care (POC) testing has become widely used in clinical analysis because of its speed and portability; however, POC tools, such as lateral flow assays, suffer from low specificity, unclear readouts, and susceptibility to environmental and user errors. Herein, we report an ELISA-based competitive volumetric bar-chart chip (CV-chip) that eliminates these limitations. The CV-chip displays the readout in the form of ink bar charts based on direct competition between gases generated by the sample and the internal control. By employing a "competition mode", this platform decreases the potential influence of background resulting from environmental factors and provides visually clear positive or negative results without the requirement of calibration. In addition, the on-chip comparison enables the device to distinguish imperceptible differences (less than 1.3-fold) in human chorionic gonadotropin (hCG) concentrations that are near the cutoff value for pregnancy (∼1.4 ng/mL). We also utilized the ELISA-based CV-chip to successfully detect biomarkers from cancer cells. As a proof-of-concept application in a clinical setting, the CV-chip was employed to evaluate the status of drugs of abuse in 18 patients. For six different drugs, zero false-positive and very few false-negative (<2%) results were reported in more than 100 tests. This new ELISA platform offers a clinical diagnostics tool that is portable and easy to use, and provides improved clarity and sensitivity due to the inclusion of a real-time internal control.

Indexed as

Enzyme-Linked Immunosorbent AssayMicrofluidic Analytical TechniquesPoint-of-Care SystemsBiomarkers, TumorCell Line, TumorChorionic GonadotropinHumansIllicit DrugsMCF-7 CellsSubstance Abuse DetectionTime FactorsBiomarkers, TumorChorionic GonadotropinIllicit Drugs

Identifiers

PMID25751686
PMCPMC4631400
OpenAlexW2081120344

What OpenQuestion holds

Textmetadata
LicenceTDM
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.