Evidence map›Paper›PMID 31167186›Full record

ArticleCaries research2019

Developing and Testing Electronic Health Record-Derived Caries Indices.

Joel M White, Elizabeth A Mertz, Joanna M Mullins, Joshua B Even, Trey Guy, Elena Blaga, Aubri M Kottek, Shwetha V Kumar, Suhasini Bangar, Ram Vaderhobli and 4 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Caries research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

14 authors.

Joel M WhiteDepartment of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, California, USA, joel.white@ucsf.edu.
Elizabeth A MertzDepartment of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, California, USA.
Joanna M MullinsWillamette Dental Group and Skourtes Institute, Hillsboro, Oregon, USA.
Joshua B EvenWillamette Dental Group and Skourtes Institute, Hillsboro, Oregon, USA.
Trey GuyWillamette Dental Group and Skourtes Institute, Hillsboro, Oregon, USA.
Elena BlagaWillamette Dental Group and Skourtes Institute, Hillsboro, Oregon, USA.
Aubri M KottekCenter to Address Disparities in Children's Oral Health, University of California, San Francisco, San Francisco, California, USA.
Shwetha V KumarSchool of Dentistry, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Suhasini BangarSchool of Dentistry, The University of Texas Health Science Center at Houston, Houston, Texas, USA.
Ram VaderhobliDepartment of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, California, USA.
Ryan BrandonWillamette Dental Group and Skourtes Institute, Hillsboro, Oregon, USA.
William SantoDepartment of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, California, USA.
Larry JensonDepartment of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, California, USA.
Stuart A GanskyDepartment of Preventive and Restorative Dental Sciences, University of California, San Francisco, San Francisco, California, USA.

Funding

Statistics and Data Coordinating CenterU54DE019285 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WEINTRAUB, JANE A · 2008 to 2014
$24.9M
COORDINATING CENTER TO HELP ELIMINATE/REDUCE ORAL HEALTH INEQUALITIES IN CHILDRENU01DE025507 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANSKY, STUART A · 2015 to 2020
$11.9M
Vision Awards for GM Lead Users GroupU54DE014251 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GANSKY, STUART A · 2001 to 2007
$10.9M
Evaluating Standardized Preventive Care to Reduce Dental Disparities in ChildrenUH2DE025504 · NIDCR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MERTZ, ELIZABETH, WHITE, JOEL M · 2015 to 2016
$1.2M
NIDCR NIH HHS U01 DE025507NIDCR NIH HHS U54 DE014251NIDCR NIH HHS U54 DE019285NIDCR NIH HHS UH2 DE025504
6 · The paper itself

Abstract

Caries indices, the basis of epidemiologic caries measures, are not easily obtained in clinical settings. This study's objective was to design, test, and validate an automated program (Valid Electronic Health Record Dental Caries Indices Calculator Tool [VERDICT]) to calculate caries indices from an electronic health record (EHR). Synthetic use case scenarios and actual patient cases of primary, mixed, and permanent dentition, including decayed, missing, and filled teeth (DMFT/dmft) and tooth surfaces (DMFS/dmfs) were entered into the EHR. VERDICT measures were compared to a previously validated clinical electronic data capture (EDC) system and statistical program to calculate caries indices. Four university clinician-researchers abstracted EHR caries exam data for 45 synthetic use cases into the EDC and post-processed with SAS software creating a gold standard to compare the -VERDICT-derived caries indices. Then, 2 senior researchers abstracted EHR caries exam data and calculated caries indices for 24 patients, allowing further comparisons to VERDICT indices. Agreement statistics were computed among abstractors, and discrepancies were resolved by consensus. Agreement statistics between the 2 final-phase abstractors and the VERDICT measures showed extremely high concordance: Lin's concordance coefficients (LCCs) >0.99 for dmfs, dmft, DS, ds, DT, dt, ms, mt, FS, fs, FT, and ft; LCCs >0.95 for DMFS and DMFT; and LCCs of 0.92-0.93 for MS and MT. Caries indices, essential to developing primary health outcome measures for research, can be reliably derived from an EHR using VERDICT. Using these indices will enable population oral health management approaches and inform quality improvement efforts.

Indexed as

AlgorithmsElectronic Health RecordsAutomationDental CariesDentition, PermanentDMF IndexFemaleHumansMaleCaries detection/diagnosis/preventionDental informatics/bioinformaticsElectronic dental recordsEpidemiologyOutcomes research

Identifiers

PMID31167186
PMCPMC6864222

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.