Evidence map›Paper›PMID 40697931›Full record

ReviewThe Japanese dental science review2025

Efficacy of adjunctive periodontal interventions in non-surgical periodontal therapy for Stage III/IV Grade C periodontitis: A systematic review and network meta-analysis.

Shih-Ying Lin, Hung-Ying Lin, Jui-Sheng Sun, Jenny Zwei-Chieng Chang

Abstract readReview
In one paragraph

Review in The Japanese dental science review, 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.

  1. Trial
  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

4 authors.

Shih-Ying LinDepartment of dentistry, MacKay Memorial Hospital, Taipei, Taiwan.
Hung-Ying LinDepartment of Dentistry, National Taiwan University Hospital, Taipei, Taiwan.
Jui-Sheng SunDepartment of Orthopedic Surgery, Landseed International Hospital, Taoyuan, Taiwan.
Jenny Zwei-Chieng ChangSchool of Dentistry, College of Medicine, National Taiwan University, Taipei, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study evaluates the effectiveness of adjunctive therapies combined with non-surgical periodontal treatment for Stage III/IV Grade C periodontitis, focusing on pocket depth (PD) reduction, clinical attachment level (CAL) gain, and adverse events. A systematic review and network meta-analysis were conducted, including randomized controlled trials up to September 2024. Inconsistencies and publication bias were detected, prompting sensitivity analyses and effectiveness rankings of adjunctive therapies. Data from 50 studies were included, with 45 entered into network meta-analysis, covering 24 interventions and 1431 patients. Compared to scaling and root planing (SRP) alone, adjunctive systemic lincosamides with nitroimidazole (Mac/Linc+Nitro-S) demonstrated the greatest PD reduction, followed by local statins (Statins-L) in the short term (≤3 months). Statins-L also provided the highest CAL gain. In the medium term (4-6 months), Statins-L remained the most effective, followed by bisphosphonates. For long-term (>6 months) follow-up, where fewer treatment approaches were available, Nitro-S achieved the most significant PD reduction and CAL gain, followed by Mac/Linc-S. Adverse effects were mild and self-limiting. Despite promising findings, inconsistencies in CAL outcomes and potential publication bias highlight the need for further research to confirm long-term safety and efficacy.

Indexed as

Adjunctive periodontal treatmentAggressive periodontitisMeta-analysisNon-surgical periodontal therapyStage III/IV Grade C

Identifiers

PMID40697931
PMCPMC12281125

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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.