Evidence map›Paper›PMID 33542626›Full record

ArticleInternational journal of nanomedicine2021

EDTA-K

Xiumei Hu, Changmeng Wu, Bo Situ, Peifu Tian, Taixue An, Qiang Li, Weilun Pan, Ruyi Zhang, Biao Yang, Dehua Sun and 3 more

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Recent Progress on Rapid Lateral Flow Assay-Based Early Diagnosis of COVID-19.Frontiers in bioengineering and biotechnology · 2022
    Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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

13 authors at 3 institutions in 1 country.

Xiumei Hu *Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.ORCID 0000-0003-2760-734X
Changmeng Wu *Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Bo Situ *Department of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Peifu Tian *Department of Medicine Laboratory, Hankou Hospital of Wuhan, Wuhan 430010, People's Republic of China.
Taixue AnDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Qiang LiDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Weilun PanDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Ruyi ZhangDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Biao YangDepartment of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong 510280, People's Republic of China.
Dehua SunDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Yuhai HuDepartment of Medicine Laboratory, Hankou Hospital of Wuhan, Wuhan 430010, People's Republic of China.
Qian WangDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Lei ZhengDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou 510515, People's Republic of China.
Nanfang Hospital · CNWuhan Hankou Hospital · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe coronavirus disease (COVID-19) pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is now rapidly spreading globally. Serological tests are an important method to assist in the diagnosis of COVID-19, used for epidemiological investigations. In this study, we aimed to investigate the impact of different types of vacuum collection tubes on the detection of SARS-CoV-2 IgM and IgG antibodies, using the colloidal gold immunochromatographic assay (GICA). PATIENTS AND

methodsA total of 112 patients with COVID-19 and 200 healthy control subjects with no infection were enrolled in this study. Their serum and plasma were collected into four different types of vacuum blood collection tubes. SARS-CoV-2 IgM and IgG specific antibodies in the plasma and serum were then detected by GICA and chemiluminescence assay (CA), respectively. In addition, the particle sizes of different colloidal gold solutions in the presence of different anticoagulants and coagulants were evaluated by both laser diffraction (Malvern) and confocal laser microscope, respectively.

resultsOur results revealed that anticoagulated plasma with EDTA-K

conclusionGICA is widely used to detect antibodies for the advantages of convenient, fast, low cost, suitable for screening large sample and require minimal equipment. In this study, we found that EDTA-K

Indexed as

AdultAntibodies, ViralAntibody SpecificityChelating AgentsCOVID-19Edetic AcidFemaleGold ColloidHumansImmunoassayImmunoglobulin GImmunoglobulin MMaleMiddle AgedMolecular WeightParticle SizeAntibodies, ViralChelating AgentsEdetic AcidGold ColloidImmunoglobulin GImmunoglobulin MPolymersantibodiesEDTA-K2gold immunochromatographic assay; GICASARS-CoV-2

Identifiers

PMID33542626
PMCPMC7853433
OpenAlexW3124217128

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.