Evidence map›Paper›PMID 40027295›Full record

ArticleFood science & nutrition2025

Assessing Traditional Chinese Medicines for Anti-Dengue Using a National Health Insurance Research Database and Bioassays.

Wan-Yu Su, Hsiang-Hui Lo, Yuan-Liang Wen, Jeng-Wei Lu, I-Chuan Yen, Yi-Jung Ho, Li-Ting Kao

Abstract read
In one paragraph

Article in Food science & nutrition, 2025. 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
–field-weighted citation impact
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.

  1. Review
  2. Article
  3. 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

7 authors.

Wan-Yu SuSchool of Pharmacy National Defense Medical Center Taipei Taiwan, ROC.
Hsiang-Hui LoSchool of Pharmacy National Defense Medical Center Taipei Taiwan, ROC.
Yuan-Liang WenSchool of Pharmacy National Defense Medical Center Taipei Taiwan, ROC.
Jeng-Wei LuBiotech Research and Innovation Centre University of Copenhagen Copenhagen Denmark.
I-Chuan YenSchool of Pharmacy National Defense Medical Center Taipei Taiwan, ROC.
Yi-Jung HoSchool of Pharmacy National Defense Medical Center Taipei Taiwan, ROC.
Li-Ting KaoSchool of Pharmacy National Defense Medical Center Taipei Taiwan, ROC.ORCID https://orcid.org/0000-0003-0692-7408

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue fever is a widespread viral infectious disease transmitted by mosquitoes. Despite the potentially fatal consequences for some individuals, no antiviral drugs have been approved for the treatment of this disease. Taiwan's National Health Insurance Database (NHID) holds extensive medical records for almost every resident, encompassing conventional and traditional Chinese medicine (TCM) treatments. This study aims to uncover potential TCM formulas with antiviral properties against dengue fever by analyzing NHID data. Initially, the NHID was screened to identify candidate TCM formulas. Subsequently, immunofluorescence assays were conducted to evaluate the anti-dengue virus (DENV) effects of these TCM compounds. Selected TCM formulas underwent testing for cytotoxicity and anti-DENV activity. The study identified 62 promising TCM formulas, focusing on those most frequently prescribed and their potential efficacy. Among these, 23 TCM formulas showed promise in preventing severe illness, with 20 subjected to further analysis for cytotoxicity and anti-DENV effects. Notably, Gastrodiae Rhizoma and Pinellia Rhizoma exhibited significant anti-DENV activity at different multiplicities of infection (MOIs). This research introduces a novel methodology for identifying potential antiviral compounds against dengue fever, leveraging NHID data alongside immunofluorescence assays.

Indexed as

dengue feverdengue virusNational Health Insurance Databasetraditional Chinese medicine

Identifiers

PMID40027295
PMCPMC11868784

What OpenQuestion holds

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Registered trials

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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.