Evidence map›Paper›PMID 41348402›Full record

ArticleJournal of materials science. Materials in medicine2025

Effect of powder particle size on hydration rates, permeability and antimicrobial properties of tricalcium silicate in root canals.

Hao He, Zhi-Huan Wang, Bo-Lang Hao, Xiang Xiong, Yi Cheng, Jia Lou, Zhe-Yu He, Dong-Yang Li, Jian Qin

Abstract read
In one paragraph

Article in Journal of materials science. Materials in medicine, 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

9 authors.

Hao HeSchool of Electronic Engineering, Guangxi, University of Science and Technology, Liuzhou, Guangxi, 545616, China.
Zhi-Huan WangSchool of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan, 411105, China.
Bo-Lang HaoSchool of Electronic Engineering, Guangxi, University of Science and Technology, Liuzhou, Guangxi, 545616, China.
Xiang XiongPowder Metallurgy Research Institute, Central South University, Changsha, Hunan, 410083, China.
Yi ChengSchool of Electronic Engineering, Guangxi, University of Science and Technology, Liuzhou, Guangxi, 545616, China.
Jia LouPowder Metallurgy Research Institute, Central South University, Changsha, Hunan, 410083, China. lou3166@xtu.edu.cn.ORCID http://orcid.org/0000-0002-5141-3775
Zhe-Yu HeSchool of Electronic Engineering, Guangxi, University of Science and Technology, Liuzhou, Guangxi, 545616, China. hezheyu@gxust.edu.cn.
Dong-Yang LiXiangYa School of Medicine, Central South University, Changsha, Hunan, 410013, China.
Jian QinSchool of Materials Science and Engineering, Xiangtan University, Xiangtan, Hunan, 411105, China.

Funding

Health and Family Planning Commission of Hunan Province 202208025262Innovative Research Group Project of the National Natural Science Foundation of China 52164042the Guangxi Science and Technology Program 2021AB16028, 2022AB25008
6 · The paper itself

Abstract

This study investigated the impact of particle size refinement on the hydration rate, permeability, and antimicrobial properties of tricalcium silicate (C

Indexed as

Anti-Infective AgentsCalcium CompoundsDental Pulp CavityRoot Canal Filling MaterialsSilicatesAnti-Bacterial AgentsEnterococcus faecalisHumansMaterials TestingMicrobial Sensitivity TestsMicroscopy, ConfocalParticle SizePermeabilityPowdersWaterAnti-Bacterial AgentsAnti-Infective AgentsCalcium CompoundsPowdersRoot Canal Filling MaterialsSilicatestricalcium silicateWater

Identifiers

PMID41348402
PMCPMC12689662

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.