Evidence map›Paper›PMID 26020244›Full record

Trial reportPloS one2015

Performance of an Optimized Paper-Based Test for Rapid Visual Measurement of Alanine Aminotransferase (ALT) in Fingerstick and Venipuncture Samples.

Sidhartha Jain, Radha Rajasingham, Farzad Noubary, Erin Coonahan, Ryan Schoeplein, Rachel Baden, Michael Curry, Nezam Afdhal, Shailendra Kumar, Nira R Pollock

Abstract readClinical TrialComparative Study
In one paragraph

Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Microfluidic Paper-based Device for Medicinal Diagnosis.Current topics in medicinal chemistry · 2022
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

10 authors.

Sidhartha JainDiagnostics For All, Cambridge, Massachusetts, United States of America.
Radha RajasinghamDivision of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Farzad NoubaryThe Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, Massachusetts, United States of America; Tufts Clinical and Translational Science Institute, Tufts University, Boston, Massachusetts, United States of America.
Erin CoonahanDiagnostics For All, Cambridge, Massachusetts, United States of America.
Ryan SchoepleinDiagnostics For All, Cambridge, Massachusetts, United States of America.
Rachel BadenDivision of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Michael CurryDivision of Hepatology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Nezam AfdhalDivision of Hepatology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Shailendra KumarDiagnostics For All, Cambridge, Massachusetts, United States of America.
Nira R PollockDivision of Infectious Diseases, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America; Department of Laboratory Medicine, Boston Children's Hospital, Boston, Massachusetts, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA paper-based, multiplexed, microfluidic assay has been developed to visually measure alanine aminotransferase (ALT) in a fingerstick sample, generating rapid, semi-quantitative results. Prior studies indicated a need for improved accuracy; the device was subsequently optimized using an FDA-approved automated platform (Abaxis Piccolo Xpress) as a comparator. Here, we evaluated the performance of the optimized paper test for measurement of ALT in fingerstick blood and serum, as compared to Abaxis and Roche/Hitachi platforms. To evaluate feasibility of remote results interpretation, we also compared reading cell phone camera images of completed tests to reading the device in real time.

methods96 ambulatory patients with varied baseline ALT concentration underwent fingerstick testing using the paper device; cell phone images of completed devices were taken and texted to a blinded off-site reader. Venipuncture serum was obtained from 93/96 participants for routine clinical testing (Roche/Hitachi); subsequently, 88/93 serum samples were captured and applied to paper and Abaxis platforms. Paper test and reference standard results were compared by Bland-Altman analysis.

findingsFor serum, there was excellent agreement between paper test and Abaxis results, with negligible bias (+4.5 U/L). Abaxis results were systematically 8.6% lower than Roche/Hitachi results. ALT values in fingerstick samples tested on paper were systematically lower than values in paired serum tested on paper (bias -23.6 U/L) or Abaxis (bias -18.4 U/L); a correction factor was developed for the paper device to match fingerstick blood to serum. Visual reads of cell phone images closely matched reads made in real time (bias +5.5 U/L).

conclusionsThe paper ALT test is highly accurate for serum testing, matching the reference method against which it was optimized better than the reference methods matched each other. A systematic difference exists between ALT values in fingerstick and paired serum samples, and can be addressed by application of a correction factor to fingerstick values. Remote reading of this device is feasible.

Indexed as

Reagent Kits, DiagnosticAlanine TransaminaseBlood Chemical AnalysisFemaleHumansMalePhlebotomySensitivity and SpecificityAlanine TransaminaseReagent Kits, Diagnostic

Identifiers

PMID26020244
PMCPMC4447376

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.