Evidence map›Paper›PMID 39582409›Full record

ArticleMedicina oral, patologia oral y cirugia bucal2025

Relationship between periodontitis and chronic obstructive pulmonary disease: a bibliometric analysis from 1945 to 2023.

Z Guo, Z Wang

Abstract read
In one paragraph

Article in Medicina oral, patologia oral y cirugia bucal, 2025. 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. Review
  2. 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

2 authors.

Z GuoDepartment of Stomatology Beijing Chaoyang Hospital, Capital Medical University No.8, Gongti South Road, Chaoyang District Beijing 100020, China gzy22350bva@163.com.
Z Wang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChronic obstructive pulmonary disease (COPD) and periodontitis are common chronic diseases. The presence of either of the two diseases increases the risk of the other, whereas managing one reduces the risk of the other. This study aimed to summarize the current state of research and trends in this field using bibliometric analysis and visualization. MATERIAL AND

methodsWe used PubMed to search and download all periodontal disease- and COPD-related studies published until August 20, 2023. We further performed bibliometric analysis on the text R and Python software and visualized the results using Gephi and VOSviewer to construct latent Dirichlet allocation models that summarize idiosyncratic research themes.

resultsA total of 2, 109 publications were analyzed, with recent ones focusing on risk factors and pandemics. The country that produced the most publications was the United States with 427 publications. The most cited article was by Prof. Wang Zuomin. International Journal of Chronic Obstructive Pulmonary Disease ranked first in publications. Keywords were focused on Risk Factors and Pandemics. In addition, COVID-19, SARS-CoV-2 and coronavirus infections have become a research hotspot since 2020. However, little attention has been paid to environmental contamination and biological mechanisms.

conclusionsResearch on periodontitis and COPD is expanding, and it currently focused on exploring risk factors and conducting clinical epidemiological studies. This exhaustive study provides a comprehensive summary of trends in this field and has important clinical implications for the screening and treatment of patients with COPD and periodontitis.

Indexed as

BibliometricsPeriodontitisPulmonary Disease, Chronic ObstructiveCOVID-19HumansRisk Factors

Identifiers

PMID39582409
PMCPMC11801683

What OpenQuestion holds

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LicenceCC BY
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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.