Evidence map›Paper›PMID 32494753›Full record

ArticleScience advances2020

SLIPS-LAB-A bioinspired bioanalysis system for metabolic evaluation of urinary stone disease.

Hui Li, Eugene Shkolyar, Jing Wang, Simon Conti, Alan C Pao, Joseph C Liao, Tak-Sing Wong, Pak Kin Wong

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.5field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 42 citations in OpenAlex.

  1. Reconfigurable Slippery Gradient Structure for Programmable Droplet Self-Propulsion.Langmuir : the ACS journal of surfaces and colloids · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Bioinspired liquid-infused surface for biomedical and biosensing applications.Frontiers in bioengineering and biotechnology · 2022
    Review
  14. Review
  15. [Nan fang yi ke da xue xue bao = Journal of Southern Medical University
    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 at 3 institutions in 1 country.

Hui LiDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-6725-4468
Eugene ShkolyarDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0002-5410-6412
Jing WangDepartment of Mechanical Engineering, The Pennsylvania State University, University Park, PA, USA.
Simon ContiDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.
Alan C PaoVeterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA.
Joseph C LiaoDepartment of Urology, Stanford University School of Medicine, Stanford, CA, USA.ORCID 0000-0003-2448-5463
Tak-Sing WongDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-5500-0575
Pak Kin WongDepartment of Biomedical Engineering, The Pennsylvania State University, University Park, PA, USA.ORCID 0000-0001-7388-2110
Pennsylvania State University · USVA Palo Alto Health Care System · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urinary stone disease is among the most common medical conditions. Standard evaluation of urinary stone disease involves a metabolic workup of stone formers based on measurement of minerals and solutes excreted in 24-hour urine samples. Nevertheless, 24-hour urine testing is slow, expensive, and inconvenient for patients, which has hindered widespread adoption in clinical practice. Here, we demonstrate SLIPS-LAB (Slippery Liquid-Infused Porous Surface Laboratory), a droplet-based bioanalysis system, for rapid measurement of urinary stone-associated analytes. The ultra-repellent and antifouling properties of SLIPS, which is a biologically inspired surface technology, allow autonomous liquid handling and manipulation of physiological samples without complicated sample preparation procedures and supporting equipment. We pilot a study that examines key urinary analytes in clinical samples from patients with urinary stone. The simplicity and speed of SLIPS-LAB hold the potential to provide actionable diagnostic information for patients with urinary stone disease and rapid feedback for responses to dietary and pharmacologic treatments.

Indexed as

Urinary CalculiHumans

Identifiers

PMID32494753
PMCPMC7244315
OpenAlexW3027531467

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.