Evidence map›Paper›PMID 40584628›Full record

ArticleFrontiers in pharmacology2025

Integrating

Cheng Zhang, Yina Li, Fangyang Li, Wanyun Dang, Zhuo Shi, Chunqi Yang, Chengrong Xiao, Xianglin Tang, Yuguang Wang, Yue Gao

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Cheng Zhang *School of Pharmacy, Guangdong Pharmaceutical University, Guang zhou, China.
Yina Li *School of Life Sciences, Hebei University, Baoding, China.
Fangyang LiSchool of Pharmacy, Guangdong Pharmaceutical University, Guang zhou, China.
Wanyun DangSchool of Pharmacy, Guangdong Pharmaceutical University, Guang zhou, China.
Zhuo ShiBeijing Institute of Radiation Medicine, Beijing, China.
Chunqi YangFaculty of Environment and Life Science, Beijing University of Technology, Beijing, China.
Chengrong XiaoBeijing Institute of Radiation Medicine, Beijing, China.
Xianglin TangBeijing Institute of Radiation Medicine, Beijing, China.
Yuguang WangSchool of Life Sciences, Hebei University, Baoding, China.
Yue GaoSchool of Pharmacy, Guangdong Pharmaceutical University, Guang zhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The toxicity of herbal medicine combinations is critical to the clinical safety of traditional Chinese medicine (TCM). Current assessment methods are often inefficient and costly, creating an urgent need for new strategies to evaluate herbal medicine toxicity. We conducted research based on the commonly used TCM, Psoraleae Fructus (PF), and its formulations, Er Shen Pills (ESP) and Si Shen Pills (SSP). Methods: We conducted a series of analyses on Results: In Conclusion: A method for detecting the toxicity variation patterns of PF, ESP, and SSP can be established using

Indexed as

detoxification in combination with TCMDrosophila melanogasterpsoraleae fructustoxic components screeningtoxicity detectingVibrio fischeri

Identifiers

PMID40584628
PMCPMC12203615

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.