Evidence map›Paper›PMID 38633022›Full record

ArticleLearning health systems2024

Learning from data in dentistry: Summary of the third annual OpenWide conference.

Elsbeth Kalenderian, Kawtar Zouaidi, Jan Yeager, Janelle Urata, Alfa Yansane, Bunmi Tokede, D Brad Rindal, Heiko Spallek, Joel White, Muhammad Walji

Abstract read
In one paragraph

Article in Learning health systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

10 authors.

Elsbeth KalenderianSchool of Dentistry Marquette University Milwaukee Wisconsin USA.
Kawtar ZouaidiDepartment of Diagnostuc Sciences UTHealth School of Dentistry Houston Texas USA.
Jan YeagerSchool of Dentistry University of California at San Francisco (UCSF) San Francisco California USA.
Janelle UrataSchool of Dentistry University of California at San Francisco (UCSF) San Francisco California USA.
Alfa YansaneSchool of Dentistry University of California at San Francisco (UCSF) San Francisco California USA.
Bunmi TokedeDepartment of Diagnostuc Sciences UTHealth School of Dentistry Houston Texas USA.
D Brad RindalInstitute for Education and Research HealthPartners Research Institute Minneapolis Minnesota USA.
Heiko SpallekSchool of Dentistry University of Sydney Camperdown New South Wales Australia.
Joel WhiteSchool of Dentistry University of California at San Francisco (UCSF) San Francisco California USA.
Muhammad WaljiDepartment of Diagnostuc Sciences UTHealth School of Dentistry Houston Texas USA.ORCID https://orcid.org/0000-0001-5306-9683

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The overarching goal of the third scientific oral health symposium was to introduce the concept of a learning health system to the dental community and to identify and discuss cutting-edge research and strategies using data for improving the quality of dental care and patient safety. Conference participants included clinically active dentists, dental researchers, quality improvement experts, informaticians, insurers, EHR vendors/developers, and members of dental professional organizations and dental service organizations. This report summarizes the main outputs of the third annual OpenWide conference held in Houston, Texas, on October 12, 2022, as an affiliated meeting of the American Dental Association (ADA) 2022 annual conference.

Indexed as

dental quality and safetydesign thinkingelectronic health recordsimprovement strategiesinformaticslearning health system

Identifiers

PMID38633022
PMCPMC11019381

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.