Evidence map›Paper›PMID 39415839›Full record

ArticleFrontiers in pharmacology2024

Spatiotemporal delivery of multiple components of rhubarb-astragalus formula for the sysnergistic treatment of renal fibrosis.

Qibin Zhang, Xiaofeng Ye, Lin Zhu, Zhishi Xu, Yu Hou, Qiaoying Ke, Jiawei Feng, Xiaowei Xie, Danfei Chen, Ji-Gang Piao and 1 more

Abstract read
In one paragraph

Article in Frontiers in pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

11 authors.

Qibin Zhang *School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Xiaofeng Ye *School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Lin Zhu *School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Zhishi XuSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Yu HouSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Qiaoying KeSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Jiawei FengSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Xiaowei XieSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Danfei ChenDepartment of Pediatrics, The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Zhejiang Chinese Medical University, Hangzhou, China.
Ji-Gang PiaoSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
Yinghui WeiSchool of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Rhubarb ( Methods: The CPs pellets were obtained by combining TRA/TAS-loaded SNEDDS pellets and APS-loaded pellets, prepared using the fluidized bed coating process. The prepared pellets underwent evaluation for morphology, bulk density, hardness, and flowing property. Moreover, the Results: The Conclusion: The developed CPs pellets represent a promising strategy for efficiently delivering active components in traditional Chinese medicine formulas, offering an effective approach for treating CKD.

Indexed as

astragalusgut microbiotamultiple componentsmulti-unit particulate systemrenal fibrosisrhubarbspatiotemporal delivery

Identifiers

PMID39415839
PMCPMC11480027

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.