Evidence map›Paper›PMID 37811377›Full record

ArticleFrontiers in bioengineering and biotechnology2023

Development of a quantitative thyroid-stimulating hormone assay system for a benchtop digital ELISA desktop analyzer.

Yoshiyuki Arai, Dong Wang, Miki Takeuchi, Sosuke Utsunomiya, Takuma Degawa, Atsushi Kai, Hisashi Ichikawa, Ryotaro Chiba, Toru Yoshimura

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 28% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Yoshiyuki Arai *Research and Development, Abbott Japan LLC, Chiba, Japan.
Dong Wang *Research and Development, Abbott Japan LLC, Chiba, Japan.
Miki Takeuchi *Research and Development, Abbott Japan LLC, Chiba, Japan.
Sosuke Utsunomiya *Research and Development, Abbott Japan LLC, Chiba, Japan.
Takuma DegawaResearch and Development, Abbott Japan LLC, Chiba, Japan.
Atsushi KaiResearch and Development, Abbott Japan LLC, Chiba, Japan.
Hisashi IchikawaResearch and Development, Abbott Japan LLC, Chiba, Japan.
Ryotaro ChibaResearch and Development, Abbott Japan LLC, Chiba, Japan.
Toru YoshimuraResearch and Development, Abbott Japan LLC, Chiba, Japan.
Development Bank of Japan · JPAbbott (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Regular checkups for thyroid-stimulating hormone (TSH) levels are essential for the diagnosis of thyroid disease. The enzyme-linked immunosorbent assay (ELISA) technique is a standard method for detecting TSH in the serum or plasma of hospitalized patients. A recently developed next-generation ELISA, the digital immunoassay (d-IA), has facilitated detection of molecules with ultra-high-sensitivity. In this study, we developed a TSH assay system using the d-IA platform. By utilizing the ultrasensitivity of d-IA, we were able to use a sample volume of as little as 5 µL for each assay (the dead volume was 5 µL). The limits of blank, detection, and quantification (i.e., functional sensitivity), were 0.000346, 0.001953, and 0.002280 μIU/mL, respectively, and the precision of the total coefficient of variation did not exceed 10%. The correlation between serum and plasma levels indicated good agreement. Thus, our system successfully measured TSH using d-IA with a small sample volume and equal functional sensitivity to the current third generation like ARCHITECT TSH assay, which has a functional sensitivity of 0.0038 μIU/mL.

Indexed as

digital ELISAquantitativesmall sample volumeTSHultrasensitive

Identifiers

PMID37811377
PMCPMC10551129
OpenAlexW4386927646

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.