Evidence map›Paper›PMID 41561951›Full record

ArticleFrontiers in medicine2025

A study on the association between smoking, periodontal inflammation and alveolar bone resorption in patients with chronic periodontitis based on biomarkers: a meta-analysis.

Bing Li, Li Xia, Cui Liu, Qingqing Zhu, Zhe Chen

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

5 authors.

Bing LiDepartment of Stomatology, Central Medical Branch of PLA General Hospital, Beijing, China.
Li XiaDepartment of Stomatology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
Cui LiuDepartment of Stomatology, Central Medical Branch of PLA General Hospital, Beijing, China.
Qingqing ZhuDepartment of Stomatology, Central Medical Branch of PLA General Hospital, Beijing, China.
Zhe ChenDepartment of Stomatology, Central Medical Branch of PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To systematically evaluate the association between smoking and both periodontal inflammation and alveolar bone resorption in patients with chronic periodontitis. Methods: A computerized search was conducted using databases such as PubMed, Embase, Web of Science, and China National Knowledge Infrastructure to identify studies published between January 2005 and January 2023 that examined the relationship between smoking and both periodontal inflammation and alveolar bone resorption in chronic periodontitis. A total of 1,654 articles were initially retrieved. After applying the inclusion and exclusion criteria, 13 studies were included in the final analysis, comprising a total of 1,653 patients-893 in the study group and 760 in the control group. The study group included smoker chronic periodontitis patients, and the control group included non-smoker chronic periodontitis patients. Two independent researchers screened the literature and extracted relevant data. Meta-analysis was performed using RevMan 5.3 software. Results: Compared with the control group, the study group showed significantly higher levels of intercellular adhesion molecule 1 (mean difference [MD] = 135.93; 95% confidence interval [CI]: 48.91, 222.95; Conclusion: Smoking exacerbates periodontal inflammation and promotes alveolar bone resorption in patients with chronic periodontitis.

Indexed as

alveolar bone resorptionchronic periodontitisinflammatory responseperiodontal tissuesmoking

Identifiers

PMID41561951
PMCPMC12813097

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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.