Evidence map›Paper›PMID 37408762›Full record

ReviewFrontiers in pharmacology2023

Pharmacological effects and mechanisms of paeonol on antitumor and prevention of side effects of cancer therapy.

Xindi Chang, Xiaoteng Feng, Min Du, Sijin Li, Jiarou Wang, Yiru Wang, Ping Liu

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
6.6field-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

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

  1. Pooled it
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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 at 2 institutions in 1 country.

Xindi ChangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Xiaoteng FengDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Min DuDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Sijin LiDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Jiarou WangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Yiru WangDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Ping LiuDepartment of Cardiology, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China.
Shanghai University of Traditional Chinese Medicine · CNLonghua Hospital Shanghai University of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer represents one of the leading causes of mortality worldwide. Conventional clinical treatments include radiation therapy, chemotherapy, immunotherapy, and targeted therapy. However, these treatments have inherent limitations, such as multidrug resistance and the induction of short- and long-term multiple organ damage, ultimately leading to a significant decrease in cancer survivors' quality of life and life expectancy. Paeonol, a nature active compound derived from the root bark of the medicinal plant Paeonia suffruticosa, exhibits various pharmacological activities. Extensive research has demonstrated that paeonol exhibits substantial anticancer effects in various cancer, both

Indexed as

cancermechanismpaeonolpharmacological effectsside effects

Identifiers

PMID37408762
PMCPMC10318156
OpenAlexW4381429726

What Socratic 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 Socratic graph.