Evidence map›Paper›PMID 33995075›Full record

ArticleFrontiers in pharmacology2021

Catalpol Inhibits Macrophage Polarization and Prevents Postmenopausal Atherosclerosis Through Regulating Estrogen Receptor Alpha.

Qi Chen, Xu Qi, Weiwei Zhang, Yuhan Zhang, Yunhui Bi, Qinghai Meng, Huimin Bian, Yu Li

Open access · goldAbstract read
In one paragraph

Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Effect of Pituitary-Target Gland Axis on RAAS in the Context of COVID-19.International journal of medical sciences · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. Role of Estrogen Receptor α in Aging and Chronic Disease.Advances in geriatric medicine and research · 2023
    Article
  16. Review
  17. Article
  18. Review
  19. 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

8 authors at 2 institutions in 1 country.

Qi ChenSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Xu QiSchool of Medicine and Life Sciences, Nanjing University of Chinese Medicine, Nanjing, China.
Weiwei ZhangSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Yuhan ZhangSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Yunhui BiSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Qinghai MengSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Huimin BianSchool of Pharmacy, Nanjing University of Chinese Medicine, Nanjing, China.
Yu LiDepartment of Respiratory Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Nanjing University of Chinese Medicine · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lacking estrogen increases the risk of atherosclerosis (AS) in postmenopausal women. Inflammation plays a vital role in the pathological process of AS, and macrophages are closely related to inflammation. Catalpol is an iridoid glucoside extracted from the fresh roots of the traditional Chinese herb

Indexed as

catalpolestrogen receptorinflammationmacrophage polarizationoxidatie stresspostmenopausal atherosclerosis

Identifiers

PMID33995075
PMCPMC8120111
OpenAlexW3158730135

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.