Evidence map›Paper›PMID 34041876›Full record

ArticleHua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology2021

Effects of different implant surface properties on the biological behavior of Schwann cells.

Yan-Ying Wang, Ping Gong, Jian Zhang

Abstract read
In one paragraph

Article in Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Yan-Ying WangDept. of Implantation, Tianjin Stomatological Hospital (Hospital of Stomatology, Nankai University), Tianjin 300041, China.
Ping GongState Key Laboratory of Oral Diseases & National Clinical Research Center for Oral Diseases & Dept. of Implantation, West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China.
Jian ZhangDept. of Implantation, Tianjin Stomatological Hospital (Hospital of Stomatology, Nankai University), Tianjin 300041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study investigated the effects of different implant surface properties on the biological behavior of Schwann cells.

methodsSchwann cells (SCs) were cultured on three types of implant surfaces including smooth polished (SMO), sand-blasted, large grit, acid-etched (SLA), and chemically-modified SLA (modSLA). At different time points, the morphology and adhesion of SCs on the implant surfaces were observed by scanning electron microscope. Cell proliferation activity was detected by MTT method. The expression levels of nerve growth factor (NGF) and brain-derived neurotrophic factor (BDNF) were detected by enzyme-linked immunosorbent assay. Changes in the mRNA levels of NGF and BDNF were detected by real-time fluorescent quantitative polymerase chain reaction (PCR).

resultsSCs adhered, stretched, and proliferated well on the three types of implant surfaces. On the 3rd, 5th, and 7th days, the OD values of the SMO group were higher than those of the SLA group and the modSLA group, and the difference was statistically significant (

conclusionsDifferent implant surface properties have different effects on the biological behavior of SCs. Proliferation of SCs is significantly promoted by smooth surface, while secretion and gene expression of neurotrophic factors are significantly promoted by modSLA surface at early stage.

Indexed as

Dental ImplantsSchwann CellsSurface PropertiesTitaniumDental ImplantsTitaniumimplantnerve regenerationSchwann cellssurface treatment

Identifiers

PMID34041876
PMCPMC8218265

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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.