Evidence map›Paper›PMID 34698258›Full record

ArticleMethods and protocols2021

Clinical Validation of Rapid Gout Detection Method and Kit.

Amith Anugu, Rebecca Monastero, Sahana Pentyala, Vamiq M Mustahsan, Yanming Cai, Jason Rosenfeld, David E Komatsu, James Penna, Lawrence Hurst, Srinivas N Pentyala

Open access · goldAbstract read
In one paragraph

Article in Methods and protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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 at 1 institution in 1 country.

Amith AnuguStony Brook Medical Center, Department of Anesthesiology, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
Rebecca MonasteroStony Brook Medical Center, Department of Anesthesiology, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
Sahana PentyalaStony Brook Medical Center, Department of Anesthesiology, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
Vamiq M MustahsanStony Brook Medical Center, Department of Anesthesiology, Renaissance School of Medicine, Stony Brook, NY 11794, USA.ORCID 0000-0003-4149-322X
Yanming CaiStony Brook Medical Center, Department of Anesthesiology, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
Jason RosenfeldStony Brook Medical Center, Department of Anesthesiology, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
David E KomatsuStony Brook Medical Center, Department of Orthopedics, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
James PennaStony Brook Medical Center, Department of Orthopedics, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
Lawrence HurstStony Brook Medical Center, Department of Orthopedics, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
Srinivas N PentyalaStony Brook Medical Center, Department of Anesthesiology, Renaissance School of Medicine, Stony Brook, NY 11794, USA.
Stony Brook School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gout is an inflammatory arthritis, which causes intense, acute pain due to the buildup of uric acid crystals in synovial fluid. The gold standard for gout diagnosis consists of synovial fluid analysis by polarized light microscopy, which is costly, time-intensive, and technique-dependent, therefore meriting a more efficient, inexpensive, and accessible method for diagnosis. We previously developed and validated a novel colorimetric gout detection method and device based on the reduction of silver nitrate by uric acid; here, we clinically validated our method and device using arthroscopically obtained synovial fluid samples from gout patients. We successfully identified uric acid crystals in clinical samples via our colorimetric method, visualized uric acid crystals in synovial fluid via handheld microscopy, and determined that silver nitrate stain did not interfere with the microscopic visualization of uric acid crystals necessary for diagnosis. We also developed and validated a method of processing turbid clinical samples for use in our device to prevent the obscuration of uric acid crystals by suspended material. Our method and device will clinically facilitate the immediate colorimetric diagnosis of gout and the subsequent bedside visualization of uric acid crystals in both ideal and turbid synovial fluid samples, allowing for a point-of-care diagnosis of gout.

Indexed as

gouthandheld microscopesilver nitratesynovial fluiduric acid crystals

Identifiers

PMID34698258
PMCPMC8544494
OpenAlexW3204003728

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.