Evidence map›Paper›PMID 36825725›Full record

ArticleCombinatorial chemistry & high throughput screening2023

Total Flavonoids from

Xin Hua Fang, Guo Er Zhou, Na Lin

Open access · hybridAbstract read
In one paragraph

Article in Combinatorial chemistry & high throughput screening, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.4field-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

8 citing papers in PubMed, 22 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Xin Hua FangHangzhou TCM Hospital Affiliated to Zhejiang Chinese Medical University Hangzhou, Zhejiang 310015, China.
Guo Er ZhouZhoushan TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang 316100, China.
Na LinLishui TCM Hospital Affiliated to Zhejiang Chinese Medical University, Zhejiang, 323000, China.
Zhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetic osteoporosis (DOP) is a widespread public health problem. The flavonoids of

methodsFollowing intragastric administration of RDF for 12 weeks, the body weight, blood glucose, and the bone histopathological changes detected by hematoxylin-eosin (H&E) and calcein staining were monitored, while bone parameters were regularly assessed from observations made by micro-CT. At the end of the experiment, the expression of

resultsThe results firstly indicated that RDF significantly alleviated the signs and symptoms of DOP, which manifested as improved body weight and blood glucose. As obtained from the results of histopathology and micro-CT, RDF could promote the formation of bone trabeculae and alter several the bone microstructure parameters, including an increase in the bone volume/total volume (BV/TV), connective density (Conn-Dens), and trabecular bone number (Tb.N), as well as a decrease in the trabecular spacing (Tb.Sp). The western blotting analysis and RT-PCR results also confirmed that RDF could markedly increase the mRNA expression levels of

conclusionRDF can increase bone trabeculae and bone mineral density by promoting bone formation and inhibiting bone absorption, thereby playing a role in improving DOP. This effect is related to the regulation of the BMP2/Smad signaling pathway.

Indexed as

Diabetes MellitusOsteoporosisPolypodiaceaeAnimalsBlood GlucoseBody WeightCore Binding Factor Alpha 1 SubunitFlavonoidsRatsSignal TransductionBlood GlucoseCore Binding Factor Alpha 1 SubunitFlavonoidsBMP2/Smad signaling pathwayBone homeostasisDiabetic osteoporosis (DOP)histopathology<i>Rhizoma Drynariae</i> (Gusuibu)osteoporosis

Identifiers

PMID36825725
PMCPMC10339686
OpenAlexW4321749538

What OpenQuestion holds

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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.