Evidence map›Paper›PMID 31240885›Full record

ArticleAnnals of laboratory medicine2019

Comparison of Six Commercial Diagnostic Tests for the Detection of Dengue Virus Non-Structural-1 Antigen and IgM/IgG Antibodies.

Hyeyoung Lee, Ji Hyeong Ryu, Hye Sun Park, Ki Hyun Park, Hyunjoo Bae, Sojeong Yun, Ae Ran Choi, Sung Yeon Cho, Chulmin Park, Dong Gun Lee and 6 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Annals of laboratory medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it, 65 citations in OpenAlex.

  1. A systematic review and meta-analysis on the accuracy of rapid immunochromatographic tests for dengue diagnosis.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2022
    Pooled it
  2. Trial
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Diagnostic Techniques for Dengue Virus.Current topics in microbiology and immunology · 2026
    Review
  11. Review
  12. False-positive dengue non-structural protein 1 in pregnancy.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2025
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Performance of VIDASDiagnostics (Basel, Switzerland) · 2023
    Article
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

16 authors at 6 institutions in 1 country.

Hyeyoung LeeDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-8871-5091
Ji Hyeong RyuDepartment of Convergence Medical Science, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-7223-4012
Hye Sun ParkDepartment of Convergence Medical Science, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5043-8412
Ki Hyun ParkDepartment of Convergence Medical Science, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-1041-6352
Hyunjoo BaeDepartment of Convergence Medical Science, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5143-6806
Sojeong YunDepartment of Convergence Medical Science, Graduate School, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-7784-9673
Ae Ran ChoiDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-6150-1800
Sung Yeon ChoDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-5392-3405
Chulmin ParkVaccine Bio Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-9147-0478
Dong Gun LeeDivision of Infectious Diseases, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-4655-0641
Jihyang LimDepartment of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-1459-8843
Jehoon LeeDepartment of Laboratory Medicine, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-1401-1478
Seungok LeeDepartment of Laboratory Medicine, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul, Korea.ORCID https://orcid.org/0000-0003-4538-8427
Soyoung ShinDepartment of Laboratory Medicine, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea Seoul, Korea.ORCID https://orcid.org/0000-0002-8422-441X
Haeil ParkDepartment of Laboratory Medicine, Bucheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-1092-0607
Eun Jee OhDepartment of Laboratory Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. ejoh@catholic.ac.kr.ORCID https://orcid.org/0000-0001-5870-915X
Catholic University of Korea · KRThe Catholic University of Korea Seoul St. Mary's Hospital · KRThe Catholic University of Korea Bucheon St. Mary's Hospital · KRCatholic Kwandong University International St. Mary's Hospital · KRThe Catholic University of Korea Daejeon St. Mary's Hospital · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KR

Funding

Korea Health Industry Development Institute HI16C0338
6 · The paper itself

Abstract

ELISAs and rapid diagnostic tests (RDTs) are widely used for diagnosing dengue virus (DENV) infection. Using 138 single blood samples, we compared the ability to detect non-structural (NS)-1 antigen and anti-DENV IgM/IgG antibodies among (1) DENV Detect NS1 ELISA, DENV Detect IgM capture ELISA and DENV Detect IgG ELISA (InBios International, Inc.); (2) Anti-Dengue virus IgM Human ELISA and Anti-Dengue virus IgG Human ELISA (Abcam); (3) Dengue virus NS1 ELISA, Anti-Dengue virus ELISA (IgM) and Anti-Dengue virus ELISA (IgG) (Euroimmun); (4) Asan Easy Test Dengue NS1 Ag 100 and Asan Easy Test Dengue IgG/IgM (Asan Pharm); (5) SD BIOLINE Dengue Duo (Standard Diagnostics); and (6) Ichroma Dengue NS1 and Ichroma Dengue IgG/IgM (Boditech Med). For NS1 antigen detection, InBios and Euroimmun showed higher sensitivities (100%) than the RDTs (42.9-64.3%). All tests demonstrated variable sensitivities for IgM (38.1-90.5%) and IgG (65.7-100.0%). InBios and Boditech Med demonstrated higher sensitivity (95.6% and 88.2%, respectively) than the other tests for combined NS1 antigen and IgM antibody. Five NS1 antigen tests had good agreement (92.8-98.6%) without showing positivity for chikungunya. However, all IgG tests demonstrated potential false-positivity with variable ranges. Clinical laboratories should note performance variations across tests and potential cross-reactivity.

Indexed as

Antibodies, ViralCross ReactionsDengueDengue VirusEnzyme-Linked Immunosorbent AssayHumansImmunoglobulin GImmunoglobulin MReagent Kits, DiagnosticSensitivity and SpecificityViral Nonstructural ProteinsAntibodies, ViralImmunoglobulin GImmunoglobulin MReagent Kits, DiagnosticViral Nonstructural ProteinsDengue virusDiagnosisELISAPerformanceRapid diagnostic tests

Identifiers

PMID31240885
PMCPMC6660329
OpenAlexW2953720735

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.