Evidence map›Paper›PMID 24700127›Full record

ArticleLab on a chip2014

Smartphone technology can be transformative to the deployment of lab-on-chip diagnostics.

David Erickson, Dakota O'Dell, Li Jiang, Vlad Oncescu, Abdurrahman Gumus, Seoho Lee, Matthew Mancuso, Saurabh Mehta

Abstract read
In one paragraph

Article in Lab on a chip, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Human-Device Interaction in the Life Science Laboratory.Advances in biochemical engineering/biotechnology · 2022
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Microfluidic Point-of-Care Testing: Commercial Landscape and Future Directions.Frontiers in bioengineering and biotechnology · 2020
    Review
  18. Review
  19. Article
  20. Article
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

8 authors.

David EricksonSibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853, USA. de54@cornell.edu.
Dakota O'Dell
Li Jiang
Vlad Oncescu
Abdurrahman Gumus
Seoho Lee
Matthew Mancuso
Saurabh Mehta

Funding

KS-Detect: A sample-in, answer-out solution to the Diagnosis of Kaposi's SarcomaR21EB016803 · NIBIB · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL · 2014 to 2015
$426k
A New Approach to Autonomous Point-of-care Tropical Disease Diagnostics Using SolR21EB015110 · NIBIB · CORNELL UNIVERSITY · PI ERICKSON, DAVID CARL · 2013 to 2014
$393k
NIBIB NIH HHS EB015110NIBIB NIH HHS EB016803NIBIB NIH HHS R21 EB015110NIBIB NIH HHS R21 EB016803
6 · The paper itself

Abstract

The rapid expansion of mobile technology is transforming the biomedical landscape. By 2016 there will be 260 M active smartphones in the US and millions of health accessories and software "apps" running off them. In parallel with this have come major technical achievements in lab-on-a-chip technology leading to incredible new biochemical sensors and molecular diagnostic devices. Despite these advancements, the uptake of lab-on-a-chip technologies at the consumer level has been somewhat limited. We believe that the widespread availability of smartphone technology and the capabilities they offer in terms of computation, communication, social networking, and imaging will be transformative to the deployment of lab-on-a-chip type technology both in the developed and developing world. In this paper we outline why we believe this is the case, the new business models that may emerge, and detail some specific application areas in which this synergy will have long term impact, namely: nutrition monitoring and disease diagnostics in limited resource settings.

Indexed as

Cell PhoneLab-On-A-Chip DevicesDiagnosisHumansMonitoring, PhysiologicTelemedicine

Identifiers

PMID24700127
PMCPMC4117816

What OpenQuestion holds

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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.