Evidence map›Paper›PMID 29720236›Full record

ArticleArthritis research & therapy2018

Accuracy of the HumaSens

Stéphanie Fabre, Pierre Clerson, Jean-Marie Launay, Jean-François Gautier, Tiphaine Vidal-Trecan, Jean-Pierre Riveline, Adam Platt, Anna Abrahamsson, Jeffrey N Miner, Glen Hughes and 2 more

Open access · goldAbstract read
In one paragraph

Article in Arthritis research & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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  6. Second-Hand Smoke and Its Synergistic Effect with a Body-Mass Index of >24.9 kg/mInternational journal of environmental research and public health · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 2 countries.

Stéphanie FabreInserm U1132, Rheumatology Department, Lariboisière Hospital, Paris Diderot University, 2 rue Ambroise Paré, 75010, Paris, France.
Pierre ClersonSoladis Clinical Studies, Roubaix, France.
Jean-Marie LaunayInserm U942, Biochemistry and Molecular Biology Department, Lariboisière Hospital, Paris Diderot University, Paris, France.
Jean-François GautierDiabetology Department, Lariboisière Hospital, Paris, France.
Tiphaine Vidal-TrecanDiabetology Department, Lariboisière Hospital, Paris, France.
Jean-Pierre RivelineDiabetology Department, Lariboisière Hospital, Paris, France.
Adam PlattPrecision Medicine and Genomics, IMED Biotech Unit, AstraZeneca, Cambridge, UK.
Anna AbrahamssonPrecision Medicine and Genomics, IMED Biotech Unit, AstraZeneca, Cambridge, UK.
Jeffrey N MinerArdea Biosciences, Inc., San Diego, CA, USA.
Glen HughesPrecision Medicine and Genomics, IMED Biotech Unit, AstraZeneca, Cambridge, UK.
Pascal RichetteInserm U1132, Rheumatology Department, Lariboisière Hospital, Paris Diderot University, 2 rue Ambroise Paré, 75010, Paris, France. pascal.richette@aphp.fr.
Thomas BardinInserm U1132, Rheumatology Department, Lariboisière Hospital, Paris Diderot University, 2 rue Ambroise Paré, 75010, Paris, France.
Inserm · FRAstraZeneca (United Kingdom) · GBHôpital Lariboisière · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe uric acid (UA) level in patients with gout is a key factor in disease management and is typically measured in the laboratory using plasma samples obtained after venous puncture. This study aimed to assess the reliability of immediate UA measurement with capillary blood samples obtained by fingertip puncture with the HumaSens

methodsUA levels were measured using both the HumaSens

resultsIn total, 205 patients had capillary and routine plasma UA measurements available. ICC was 0.90 (95% confidence interval (CI) 0.87-0.92), Lin's coefficient was 0.91 (0.88-0.93), and the Bland-Altman plot showed good agreement over all tested values. Overall, 17 patients showed values outside the dynamic range. LO values were concordant with plasma values, but HI values were considered uninterpretable. Capillary UA thresholds of 299 and 340 μmol/l gave the best results for detecting hyperuricemia (corresponding to routine plasma UA thresholds of 300 and 360 μmol/l, respectively). No significant confounding factor was found among those tested, except for hematocrit; however, this had a negligible influence on the assay reliability. When capillary and routine plasma results were discordant, comparison with LC-MS measurements showed that plasma measurements had better concordance: capillary UA, ICC 0.84 (95% CI 0.75-0.90), Lin's coefficient 0.84 (0.77-0.91); plasma UA, ICC 0.96 (0.94-0.98), Lin's coefficient 0.96 (0.94-0.98).

conclusionsUA measurements with the HumaSens

Indexed as

Point-of-Care SystemsBlood Specimen CollectionFemaleGoutHumansHyperuricemiaMaleMiddle AgedPuncturesReproducibility of ResultsROC CurveUric AcidUric AcidCapillary bloodGoutPoint-of-care meterUric acid

Identifiers

PMID29720236
PMCPMC5932794
OpenAlexW2805428779

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.