Evidence map›Paper›PMID 29797373›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2018

A Rapid and Robust Diagnostic for Liver Fibrosis Using a Multichannel Polymer Sensor Array.

William J Peveler, Ryan F Landis, Mahdieh Yazdani, James W Day, Raakesh Modi, Claire J Carmalt, William M Rosenberg, Vincent M Rotello

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
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  7. Article
  8. Review
  9. Article
  10. Sensing of Antibiotic-Bacteria Interactions.Antibiotics (Basel, Switzerland) · 2023
    Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. 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

8 authors.

William J PevelerDivision of Biomedical Engineering, School of Engineering, College of Science and Engineering, University of Glasgow, Glasgow, G12 8LT, UK.
Ryan F LandisDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA, 01003, USA.
Mahdieh YazdaniDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA, 01003, USA.
James W DayInstitute for Liver & Digestive Health, University College London, Division of Medicine, Royal Free Hospital, Rowland Hill Street, London, NW3 2PF, UK.
Raakesh ModiiQur Ltd, LBIC, 2 Royal College Street, London, NW1 0NH, UK.
Claire J CarmaltDepartment of Chemistry, University College London, 20 Gordon Street, London, WC1H 0AJ, UK.
William M RosenbergInstitute for Liver & Digestive Health, University College London, Division of Medicine, Royal Free Hospital, Rowland Hill Street, London, NW3 2PF, UK.
Vincent M RotelloDepartment of Chemistry, University of Massachusetts Amherst, 710 North Pleasant Street, Amherst, MA, 01003, USA.ORCID http://orcid.org/0000-0002-5184-5439

Funding

Recognition and Presentation of Alpha Helices using Nanoparticle ReceptorsR01GM077173 · NIGMS · UNIVERSITY OF MASSACHUSETTS AMHERST · PI ROTELLO, VINCENT M. · 2007 to 2018
$3.7M
NIGMS NIH HHS R01 GM077173
6 · The paper itself

Abstract

Liver disease is the fifth most common cause of premature death in the Western world, with the irreversible damage caused by fibrosis, and ultimately cirrhosis, a primary driver of mortality. Early detection of fibrosis would facilitate treatment of the underlying liver disease to limit progression. Unfortunately, most cases of liver disease are diagnosed late, with current strategies reliant on invasive biopsy or fragile lab-based antibody technologies. A robust, fully synthetic fluorescent-polymer sensor array is reported, which, rapidly (in 45 minutes), detects liver fibrosis from low-volume serum samples with clinically relevant specificity and accuracy, using an easily readable diagnostic output. The simplicity, rapidity, and robustness of this method make it a promising platform for point-of-care diagnostics for detecting and monitoring liver disease.

Indexed as

BiomarkersBiopsyElasticity Imaging TechniquesHumansLiverLiver CirrhosisPolymersSensitivity and SpecificityBiomarkersPolymersarraysfluorescent polymersliver fibrosismultichannelspoint of care

Identifiers

PMID29797373
PMCPMC6433391

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.