Evidence map›Paper›PMID 33760265›Full record

ArticleJournal of clinical laboratory analysis2021

Development of quantum dot-based fluorescence lateral flow immunoassay strip for rapid and quantitative detection of serum interleukin-6.

Jinsong Tang, Lili Wu, Jingtao Lin, Erying Zhang, Yong Luo

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. 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
1.6field-weighted citation impact, top 18% 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, 25 citations in OpenAlex.

  1. EnterohemorrhagicACS omega · 2026
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  7. Article
  8. Microfluidic Paper-based Device for Medicinal Diagnosis.Current topics in medicinal chemistry · 2022
    Article
  9. Review
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

5 authors at 3 institutions in 2 countries.

Jinsong TangDepartment of Clinical Laboratory, Dalang Hospital, Dongguan, China.
Lili WuDepartment of Clinical Laboratory, Dalang Hospital, Dongguan, China.
Jingtao LinDepartment of Clinical Laboratory, Dalang Hospital, Dongguan, China.
Erying ZhangKingfocus Biomedical Engineering Co., Ltd, Shenzhen, China.
Yong LuoDepartment of Intensive Medicine, The Second Affiliated hospital of University of South China, Hengyang, China.ORCID https://orcid.org/0000-0002-5747-3189
Dongguan People’s Hospital · CNCardioFocus (United States) · USUniversity of South China · CN

Funding

Key Social Development Project of Dongguan City 201950715040199
6 · The paper itself

Abstract

backgroundInterleukin-6 (IL-6) is an inflammatory factor that increases rapidly in response to infectious diseases including sepsis. The aim of this study is to develop a quantum dot (QD)-based fluorescence lateral flow immunoassay (LFIA) strip that can rapidly and accurately detect IL-6 levels.

methodsQD-based LFIA strips were fabricated by conjugating CdSe/ZnS QDs to the IL-6 antibody. Performance verification and clinical sample analysis were carried out to evaluate the newly developed strip.

resultsQD-based LFIA strips were successfully fabricated. The test strip's linear range was 10-4000 pg/ml, with a linear correlation coefficient of R

conclusionsThe QD-based test strip can rapidly and quantitatively detect IL-6 levels, thus meeting the requirement of point-of-care test (POCT) and showing excellent clinical prospects.

Indexed as

Antibodies, MonoclonalFluorescenceHumansImmunoassayInterleukin-6Quantum DotsReagent StripsReference StandardsAntibodies, MonoclonalInterleukin-6Reagent Stripsfluorescence lateral flow immunoassayinterleukin-6performance verificationpoint-of-care testquantum dots

Identifiers

PMID33760265
PMCPMC8128295
OpenAlexW3137491410

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.