Evidence map›Paper›PMID 40638899›Full record

ArticleChemistry & biodiversity2025

Study on the Screening of Anti-Osteoporosis Components in Processed Epimedium-Based on Spectrum-Effect Analysis.

Jinling Liang, Jia Liu, Weixia Sun, Pan Li, Huaizhu Sun, Wenxuan Cao, Yulin Dai, Tianyang Xu, Peng Yu

Abstract read
In one paragraph

Article in Chemistry & biodiversity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

9 authors.

Jinling LiangCollege of Pharmacy, Changchun University of Traditional Chinese Medicine, Changchun, China.
Jia LiuCollege of Pharmacy, Changchun University of Traditional Chinese Medicine, Changchun, China.
Weixia SunDepartment of Nephrology, The First Hospital of Jilin University, Changchun, China.
Pan LiCollege of Pharmacy, Changchun University of Traditional Chinese Medicine, Changchun, China.
Huaizhu SunCollege of Pharmacy, Changchun University of Traditional Chinese Medicine, Changchun, China.
Wenxuan CaoCollege of Pharmacy, Changchun University of Traditional Chinese Medicine, Changchun, China.
Yulin DaiJilin Ginseng Academy, Changchun University of Traditional Chinese Medicine, Changchun, China.
Tianyang XuInnovation and Practice Center, Changchun University of Traditional Chinese Medicine, Changchun, China.ORCID https://orcid.org/0000-0001-9403-3046
Peng YuCollege of Pharmacy, Changchun University of Traditional Chinese Medicine, Changchun, China.

Funding

Jilin Provincial Department of Science and Technology Fund Project 20230204034YY
6 · The paper itself

Abstract

Epimedium (EP) is a traditional Chinese medicine that has been used to treat osteoporosis for several years, but its mechanism of action is unclear. We used ultrahigh-performance liquid chromatography coupled with triple-quadrupole mass spectrometry (UPLC-QQQ-MS/MS) to detect the components of raw and processed EP samples. The antioxidant activities of the various tested compounds were evaluated using 1,1-diphenyl-2-trinitrophenylhydrazine (DPPH), and their antiosteoporosis effects were assessed in H

Indexed as

AntioxidantsDrugs, Chinese HerbalEpimediumOsteoporosisAnimalsBiphenyl CompoundsChromatography, High Pressure LiquidFlavonoidsHydrogen PeroxideMiceMolecular Docking SimulationMolecular StructurePicratesTandem Mass SpectrometryZebrafish1,1-diphenyl-2-picrylhydrazylAntioxidantsbaohuoside IBiphenyl CompoundsDrugs, Chinese HerbalFlavonoidsHydrogen PeroxidePicratesChinese Materia Medica ProcessingEpimediumosteoporosisspectrum‐effect relationshipUPLC–QQQ–MS/MS

Identifiers

PMID40638899
PMCPMC12629152

What OpenQuestion holds

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Registered trials

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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.