Evidence map›Paper›PMID 38482579›Full record

ArticleJDR clinical and translational research2024

Estimating Periodontitis Susceptibility Cases for Epidemiological Studies with Multiple Imputation.

L Zhang, M Xiao, H Chu, G A Kotsakis, W Guan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JDR clinical and translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

L ZhangDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.ORCID 0009-0007-2062-5082
M XiaoDepartment of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
H ChuDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.
G A KotsakisDepartment of Oral Biology & Clinical Research Center, Rutgers School of Dental Medicine, Newark, NJ, USA.
W GuanDivision of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.

Funding

Integrating periodontitis assessment in medical research using computationallyenhanced classificationR21DE031089 · NIDCR · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI GUAN, WEIHUA, KOTSAKIS, GEORGIOS · 2022 to 2023
$430k
NIDCR NIH HHS R21 DE031089
6 · The paper itself

Abstract

knowledge transfer statementOur proposed estimate of periodontitis susceptibility cases addresses the issue of missing teeth, offering an innovative solution through a generative missing data imputation model. The implications of our findings extend to fostering more robust investigations into the relationships between periodontal health and systemic diseases, thereby offering valuable insights to clinicians for informed decision-making. Moreover, the study's capacity to shape clinical practices and interventions in public health will further fortify health policy strategies.

Indexed as

PeriodontitisDisease SusceptibilityEpidemiologic StudiesHumansmissing datamultivariate imputation by chained equationsoral health epidemiologyperiodontal examination, National Health and Nutrition Examination Surveytooth loss

Identifiers

PMID38482579
PMCPMC11403924

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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.