Evidence map›Paper›PMID 38186975›Full record

ArticleAmerican journal of translational research2023

Global research trends of peri-implantitis during the last two decades: a bibliometric and visualized study.

Yue Xiong, Cheng-Wei Huang, Yu-Ting Cheng, Liang Peng, Chao Shi, Wei Hong, Jian Liao

Abstract read
In one paragraph

Article in American journal of translational research, 2023. 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. Review
  3. Article
  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

7 authors.

Yue XiongDepartment of Prosthodontics and Implantology, School/Hospital of Stomatology, Guizhou Medical University Guiyang 550004, Guizhou, China.
Cheng-Wei HuangAOSI CAR Dental Shantou 515041, Guangdong, China.
Yu-Ting ChengDepartment of Prosthodontics and Implantology, School/Hospital of Stomatology, Guizhou Medical University Guiyang 550004, Guizhou, China.
Liang PengGuizhou Medical University Guiyang 550004, Guizhou, China.
Chao ShiGuizhou Medical University Guiyang 550004, Guizhou, China.
Wei HongGuizhou Medical University Guiyang 550004, Guizhou, China.
Jian LiaoDepartment of Prosthodontics and Implantology, School/Hospital of Stomatology, Guizhou Medical University Guiyang 550004, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Peri-implantitis is one of the most prevalent and impactful complications of dental implant prostheses. This study aimed to identify area focuses and emerging trends in peri-implantitis research. A literature search was conducted in the Web of Science Core Collection (WoSCC), employing a bibliometric approach for data evaluation. VOSviewer and CiteSpace software were used for identifying and analyzing research foci and trends. Between 2001 and 2020, there were 2,346 publications on peri-implantitis. Leaders in number of articles published and collaboration networks were USA and Europe. High-frequency keywords included periodontitis, treatment, prevalence, titanium, follow-up, survival, in vitro, and bone loss. Keyword burst detection analysis revealed epidemiology, outcomes, and impact as emerging research hotspots. The findings suggest a need for more international multicenter clinical studies on peri-implantitis, with future studies likely focusing on prevalence, treatment, and predisposing factors.

Indexed as

bibliometricsdental implantsdisease hotspotPeri-implantitis

Identifiers

PMID38186975
PMCPMC10767516

What OpenQuestion holds

Textmetadata
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.