Evidence map›Paper›PMID 34055012›Full record

ReviewEvidence-based complementary and alternative medicine : eCAM2021

A Systematic Review of Antiaging Effects of 23 Traditional Chinese Medicines.

Lixin Wang, Xu Zuo, Zhuoer Ouyang, Ping Qiao, Fang Wang

Open access · hybridAbstract readReview
In one paragraph

Review in Evidence-based complementary and alternative medicine : eCAM, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Article
  3. Frontiers in aging · 2026
    Article
  4. Article
  5. Frontiers in pharmacology · 2025
    Article
  6. Article
  7. Antioxidants (Basel, Switzerland) · 2022
    Review
  8. Review
  9. Article
  10. Article
  11. 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 1 institution in 1 country.

Lixin WangDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.ORCID https://orcid.org/0000-0002-1769-6935
Xu ZuoDepartment of Pathogeny Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.ORCID https://orcid.org/0000-0002-9713-4579
Zhuoer OuyangDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.ORCID https://orcid.org/0000-0003-1792-7710
Ping QiaoDepartment of Cell Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.ORCID https://orcid.org/0000-0002-3897-3196
Fang WangDepartment of Pathogeny Biology, College of Basic Medical Sciences, Jilin University, Changchun 130021, China.ORCID https://orcid.org/0000-0003-0871-3454
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAging is an inevitable stage of body development. At the same time, aging is a major cause of cancer, cardiovascular disease, and neurodegenerative diseases. Chinese herbal medicine is a natural substance that can effectively delay aging and is expected to be developed as antiaging drugs in the future.

resultsA total of 2485 papers were found, and 212 papers were screened after removing the duplicates and reading the titles. Twenty-three studies met the requirements of this review and were included. Among these studies, 13 articles used

conclusionChinese herbal medicines or their active components play an antiaging role by regulating genes related to aging through a variety of signaling pathways. Chinese herbal medicines are expected to be developed as antiaging drugs or used in the medical cosmetology industry.

Identifiers

PMID34055012
PMCPMC8143881
OpenAlexW3162653257

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.