Evidence map›Paper›PMID 37355088›Full record

ReviewJournal of dentistry2023

Age differences in the effects of multi-component periodontal treatments on oral and metabolic health among people with diabetes mellitus: A meta-epidemiological study.

Zheng Zhu, Xiang Qi, Yaguang Zheng, Yaolin Pei, Bei Wu

Open access · greenAbstract readReview
In one paragraph

Review in Journal of dentistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 21% of its field
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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Association Between Self-Reported Psychiatric Diseases and Oral Health Among Older Adults.Special care in dentistry : official publication of the American Association of Hospital Dentists, the Academy of Dentistry for the Handicapped, and the American Society for Geriatric Dentistry
    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

5 authors at 2 institutions in 2 countries.

Zheng ZhuRory Meyers College of Nursing, New York University, New York, NY, USA; School of Nursing, Fudan University, Shanghai, China.
Xiang QiRory Meyers College of Nursing, New York University, New York, NY, USA.
Yaguang ZhengRory Meyers College of Nursing, New York University, New York, NY, USA.
Yaolin PeiRory Meyers College of Nursing, New York University, New York, NY, USA.
Bei WuRory Meyers College of Nursing, New York University, New York, NY, USA; NYU Aging Incubator, New York University, New York, NY, USA. Electronic address: bei.wu@nyu.edu.
New York University · USFudan University · CN

Funding

Rutgers-NYU Center for Asian Health Promotion and EquityP50MD017356 · NIMHD · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI BYRD-BREDBENNER, DEBRA CAROL · 2021 to 2025
$11.6M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
Research Education and Training CoreP30AG059304 · NIA · RUTGERS BIOMEDICAL/HEALTH SCIENCES-RBHS · PI SIMON, MELISSA A. · 2018 to 2022
$3.1M
Pathways from co-occurrence of poor oral health and diabetes to Alzheimer's disease and related dementia (ADRD) and mortalityR56AG067619 · NIA · NEW YORK UNIVERSITY · PI LUO, HUABIN, WU, BEI · 2020 to 2020
$519k
A culturally adapted decision aid intervention to support Chinese American dementia caregivers in feeding-related decisionsK99AG076871 · NIA · UNIVERSITY OF TEXAS AT AUSTIN · PI PEI, YAOLIN · 2023 to 2024
$208k
NIA NIH HHS K99 AG076871NIA NIH HHS P30 AG059304NIA NIH HHS R56 AG067619NIDDK NIH HHS P30 DK111022NIMHD NIH HHS P50 MD017356
6 · The paper itself

Abstract

objectiveTo explore the age differences in the effects of multi-component periodontal treatments on oral and metabolic indicators among individuals with periodontitis and diabetes. DATA: Trials reporting the effects of multi-component periodontal treatments on oral and metabolic indicators among participants aged 18 and above with periodontitis and diabetes were included. SOURCES: Six databases (PubMed/Medline, Embase, CINHAL, Web of Science, Cochrane Library, and ProQuest) were searched from database inception to August 2022. STUDY SELECTION: Two reviewers selected the included studies independently. We used bivariate and multivariate meta-regression models to examine the association between age and treatment effect size. The primary outcomes were changes in probing depth (PD), clinical attachment level (CAL), and hemoglobin A1c (HbA1c).

resultsA total of 18,067 articles were identified in the database search. Of these, 115 trials (119 articles) met inclusion criteria. The mean age of participants was 58 years old, ranging from 35 to 73 years. The pooled evidence demonstrated that multi-component periodontal treatment significantly reduced PD (g=0.929 [0.689-1.169], I

conclusionsMulti-component periodontal treatments may be more effective in younger populations in terms of effects on PD, CAL, and HbA1c. CLINICAL SIGNIFICANCE: Our study highlights the importance of early intervention and tailored treatment approaches. Clinicians should take into account the patient's age when developing periodontal treatment plans and may need to employ more aggressive or personalized strategies for older adults to achieve optimal outcomes.

Indexed as

Diabetes MellitusPeriodontitisAgedEpidemiologic StudiesGlycated HemoglobinHumansMiddle AgedGlycated HemoglobinAgeDiabetes mellitusOral healthPeriodontal treatmentPeriodontitisSystematic review

Identifiers

PMID37355088
PMCPMC10437212
OpenAlexW4381620795

What OpenQuestion holds

Textmetadata
LicenceTDM
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.