Evidence map›Paper›PMID 32381410›Full record

ArticleThe journal of evidence-based dental practice2020

Bayesian Network Meta-analysis of Multiple Outcomes in Dental Research.

Menglu Liang, Qinshu Lian, Georgios A Kotsakis, Bryan S Michalowicz, Mike T John, Haitao Chu

Abstract readNetwork Meta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Article in The journal of evidence-based dental practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

6 authors.

Menglu LiangDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Qinshu LianDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
Georgios A KotsakisDepartment of Periodontics, UTHealth San Antonio, San Antonio, TX, USA; Department of Global Health, University of Washington, Seattle, WA, USA.
Bryan S MichalowiczDepartment of Developmental and Surgical Sciences, University of Minnesota, Minneapolis, MN, USA.
Mike T JohnDepartment of Diagnostic and Biological Sciences, University of Minnesota, Minneapolis, MN, USA.
Haitao ChuDivision of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN, USA. Electronic address: chux0051@umn.edu.

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Jeffrey S. Miller · 1998 to 2026
$100.4M
University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
Aiding Effective Decision Making in Dental Research Using Network Meta-analysisR03DE024750 · NIDCR · UNIVERSITY OF MINNESOTA · PI CHU, HAITAO, JOHN, MIKE · 2015 to 2016
$292k
NCATS NIH HHS UL1 TR002494NCI NIH HHS P30 CA077598NIDCR NIH HHS R03 DE024750
6 · The paper itself

Abstract

objectivesDental research typically targets multiple outcomes. Interdental cleaning devices such as interdental brushes (IB) and water jet devices (WJ) share a sizable portion of the medical device market. However, recommendations for device selection are limited by the conflicting evidence from multiple outcomes in available studies and the lack of an appropriate synthesis approach to summarize evidences taken from multiple outcomes. In particular, both pairwise meta-analyses and single-outcome network meta-analyses can give discordant results. The purpose of this multioutcome, Bayesian network meta-analysis is to introduce this innovative method to the dental research community using data from interdental cleaning device studies for illustrative purposes.

methodsWe reanalyzed a network meta-analysis of interproximal oral hygiene methods in the reduction of clinical indices of inflammation, which included 22 trials assessing 10 interproximal oral hygiene aids. We focused on the primary outcome of gingival inflammation, which was measured by 2 correlated outcome variables, the Gingival Index (GI) and bleeding on probing (BOP).

resultsIn our previous single-outcome analysis, we concluded that IB and WJ rank high for reducing gingival inflammation while toothpick and flossing rank last. In this multioutcome Bayesian network meta-analysis with equal weight on GI and BOP, the surface under the cumulative ranking curve was 0.87 for WJ and 0.85 for IB. WJ and IB remained ranked as the 2 best devices across different sets of weightings for the GI and BOP.

conclusionIn conclusion, multioutcome Bayesian network meta-analysis naturally takes the correlations among multiple outcomes into account, which in turn can provide more comprehensive evidence.

Indexed as

Dental Devices, Home CareDental PlaqueBayes TheoremDental ResearchHumansToothbrushingBayesian network meta-analysisDental hygieneEvidence-based dentistry/health careMeta-analysisMultiple outcomes

Identifiers

PMID32381410
PMCPMC7211186

What OpenQuestion holds

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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.