Evidence map›Paper›PMID 31889653›Full record

ArticleJournal of the American Pharmacists Association : JAPhA

Comparison of 3 risk factor-based screening tools for the identification of prediabetes.

Courtney E Gamston, Anna N Kirby, Richard A Hansen, David T Redden, Heather P Whitley, Courtney Hanson, Kimberly B Lloyd

Abstract read
In one paragraph

Article in Journal of the American Pharmacists Association : JAPhA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Courtney E Gamston
Anna N Kirby
Richard A Hansen
David T Redden
Heather P Whitley
Courtney Hanson
Kimberly B Lloyd

Funding

National Dissemination of I-Corps@NCATS: Accelerating Translation through CommercializationUL1TR003096 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI GUTIERREZ, ORLANDO M, KIMBERLY, ROBERT P. · 2019 to 2023
$43.6M
UAB Center for Clinical and Translational Science (CCTS)UL1TR001417 · NCATS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI KIMBERLY, ROBERT P. · 2015 to 2018
$31.4M
NCATS NIH HHS UL1 TR001417NCATS NIH HHS UL1 TR003096
6 · The paper itself

Abstract

objectiveTo compare risk factor-based screening tools for identifying prediabetes.

methodsParticipants in an employer-based wellness program were tested for glycosylated hemoglobin (A1C) at a regularly scheduled appointment, and prediabetes risk factor information was collected. The likelihood of having prediabetes and the need for laboratory testing were determined based on 3 risk factor-based screening tools: the Prediabetes Screening Test (PST), Prediabetes Risk Test (PRT), and 2016 American Diabetes Association guidelines (ADA2016). The results from the screening tools were compared with those of the A1C test. The predictive ability of the PST, PRT, and ADA2016 were compared using logistic regression. Results were validated with data from a secondary population.

resultsOf the 3 risk factor-based tools examined, the PRT demonstrated the best combination of sensitivity and specificity for identifying prediabetes. From July 2016 to March 2017, 740 beneficiaries of an employer-sponsored wellness program had their A1C tested and provided risk factor information. The population prevalence of prediabetes was 9.3%. Analysis of a second independent population with a prediabetes prevalence of more than 50% of confirmed PRT's superiority despite differences in the calculated sensitivity and specificity for each population.

conclusionBecause PRT predicts prediabetes better than PST or ADA2016, it should be used preferentially.

Indexed as

Glycated HemoglobinMass ScreeningPrediabetic StateBlood GlucoseHumansRisk FactorsSensitivity and SpecificityBlood GlucoseGlycated Hemoglobin

Identifiers

PMID31889653
PMCPMC7269817

What OpenQuestion holds

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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.