Evidence map›Paper›PMID 37761302›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Analytical Performance of a Novel Latex Turbidimetric Immunoassay, "Nanopia TARC", for TARC/CCL17 Measurement: A Retrospective Observational Study.

Keita Yamashita, Shiori Takebayashi, Wataru Murata, Nao Hirai, Yui Ito, Mayuka Mitsui, Mina Saito, Kei Sato, Miyuki Terada, Noriyasu Niizeki and 7 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

17 authors at 2 institutions in 1 country.

Keita YamashitaDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.ORCID 0000-0002-0049-0834
Shiori TakebayashiDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Wataru MurataDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Nao HiraiDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Yui ItoDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Mayuka MitsuiDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Mina SaitoDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Kei SatoDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Miyuki TeradaDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Noriyasu NiizekiDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Akira SuzukiDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.ORCID 0000-0001-6090-0551
Kenya OgitaniDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.
Toshihiko FujikawaDiagnostic Products Development, Department Research & Development, Sekisui Medical Co., Ltd., Tokyo 103-0027, Japan.
Marie KomoriDiagnostic Products Development, Department Research & Development, Sekisui Medical Co., Ltd., Tokyo 103-0027, Japan.ORCID 0009-0003-2868-0888
Nozomi InoueDiagnostic Products Development, Department Research & Development, Sekisui Medical Co., Ltd., Tokyo 103-0027, Japan.
Norimitsu AraiDiagnostic Products Development, Department Research & Development, Sekisui Medical Co., Ltd., Tokyo 103-0027, Japan.
Masato MaekawaDepartment of Laboratory Medicine, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan.ORCID 0000-0001-9710-5324
Hamamatsu University School of Medicine · JPSekisui Medical (Japan) · JP

Funding

Joint Research grants with the Sekisui Medical Co., Ltd for the Department of Laboratory Medicine, Hamamatsu University School of Medicine. 1818-5
6 · The paper itself

Abstract

Thymus- and activation-regulated chemokine (TARC, also known as CCL17) is used as a biomarker for atopic dermatitis. The methods currently used for its measurement are complex, time-consuming, and require large machinery, warranting the need for a method that is simple, has a quick turnaround time, and requires less complex machinery. We evaluated the analytical performance of a novel latex turbidimetric immunoassay method, "Nanopia TARC", on 174 residual serum samples from patients with skin or allergic diseases. This evaluation included the assessment of the limit of blank/detection/quantification (LOB/D/Q), precision, accuracy, linearity, interference, and commutability between Nanopia TARC and "HISCL TARC", based on the chemiluminescent enzyme immunoassay (CLEIA) method. The LOB/D/Q values were 13, 57, and 141 pg/mL, respectively. The coefficient of variation of the repeatability was 0.9-3.8%, and that of the intermediate precision was 2.1-5.4%. The total error of the accuracy was 1.9-13.4%. The linearity was 141 and 19,804 pg/mL for TARC. The correlation coefficient between Nanopia TARC and HISCL TARC determined using the Passing-Bablok regression analysis was 0.999. Furthermore, the concordance of diagnostic criteria with AD was 92%. Nanopia TARC was confirmed to have the same analytical performance for TARC measurement as the existing CLEIA method.

Indexed as

atopic dermatitisbiomarkerCCL17latex turbidimetric immunoassayTARC

Identifiers

PMID37761302
PMCPMC10529481
OpenAlexW4386745886

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.