Evidence map›Paper›PMID 27166097›Full record

ArticleLab on a chip2016

Robust dipstick urinalysis using a low-cost, micro-volume slipping manifold and mobile phone platform.

Gennifer T Smith, Nicholas Dwork, Saara A Khan, Matthew Millet, Kiran Magar, Mehdi Javanmard, Audrey K Ellerbee Bowden

Abstract read
In one paragraph

Article in Lab on a chip, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Progress in Automated Urinalysis.Annals of laboratory medicine · 2019
    Review
  13. Article
  14. Review
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.

Gennifer T SmithDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. audrey@ee.stanford.edu.
Nicholas DworkDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. audrey@ee.stanford.edu.
Saara A KhanDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. audrey@ee.stanford.edu.
Matthew MilletDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. audrey@ee.stanford.edu.
Kiran MagarDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. audrey@ee.stanford.edu.
Mehdi JavanmardDepartment of Electrical and Computer Engineering, Rutgers University, New Brunswick, NJ, USA.
Audrey K Ellerbee BowdenDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA. audrey@ee.stanford.edu.

Funding

Predoctoral Training in Biomedical Imaging at Stanford UniversityT32EB009653 · NIBIB · STANFORD UNIVERSITY · PI BUTTS-PAULY, KIM · 2010 to 2019
$2.1M
TRAINING IN CARDIAC MAGNETIC RESONANCE IMAGING (REVISED)T32HL007846 · NHLBI · STANFORD UNIVERSITY · PI NISHIMURA, DWIGHT · 1997 to 2016
$1.3M
NHLBI NIH HHS T32 HL007846NIBIB NIH HHS T32 EB009653
6 · The paper itself

Abstract

We introduce a novel manifold and companion software for dipstick urinalysis that eliminate many of the aspects that are traditionally plagued by user error: precise sample delivery, accurate readout timing, and controlled lighting conditions. The proposed all-acrylic slipping manifold is reusable, reliable, and low in cost. A simple timing mechanism ensures results are read out at the appropriate time. Results are obtained by capturing videos using a mobile phone and by analyzing them using custom-designed software. We show that the results obtained with the proposed device are as accurate and consistent as a properly executed dip-and-wipe method, the industry gold-standard, suggesting the potential for this strategy to enable confident urinalysis testing in home environments.

Indexed as

Cell PhoneCosts and Cost AnalysisLab-On-A-Chip DevicesReagent StripsSoftwareTime FactorsUrinalysisReagent Strips

Identifiers

PMID27166097
PMCPMC4935544

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.