Evidence map›Paper›PMID 33855200›Full record

ArticleEndocrinology, diabetes & metabolism2021

Prevention of diabetic ketoacidosis at diagnosis of type 1 diabetes: Are certified athletic trainers an untapped resource?

Kaleb T Bogale, Tamara K Oser, Alexander Zettlemoyer, Jessica Parascando, Matthew L Silvis

Abstract read
In one paragraph

Article in Endocrinology, diabetes & metabolism, 2021. 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

5 authors.

Kaleb T BogalePenn State College of Medicine, Hershey, PA, USA.ORCID https://orcid.org/0000-0002-8840-0783
Tamara K OserDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, USA.
Alexander ZettlemoyerAthletic Medical Services at Mechanicsburg Area Senior High School, Mechanicsburg, PA, USA.
Jessica ParascandoDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, USA.
Matthew L SilvisDepartment of Family and Community Medicine, Penn State College of Medicine, Hershey, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: To assess the knowledge of certified athletic trainers (ATs) on the presenting signs and symptoms of type 1 diabetes (T1D). Methods: We conducted a 31-question survey of secondary school ATs recruited from the National Athletic Training Association that established demographic information, knowledge of presenting signs and symptoms of T1D, and previous personal or professional exposure to individuals with T1D. We report descriptive statistics and univariate analyses evaluating the characteristics associated with T1D knowledge. We then report a multivariable model incorporating age, gender, years of experience and education level with T1D knowledge as the dependent variable. Results: 128 participants (92f:34m) met inclusion criteria and were included in this study. The majority of participants correctly identified frequent thirst (96.1%, Conclusions: Educational awareness campaigns of T1D symptoms to reduce the rate of DKA at diagnosis of T1D have never included ATs. This study illustrates the importance of targeting future educational interventions on newly trained ATs.

Indexed as

CertificationEducational StatusKnowledgePhysical Education and TrainingTraining SupportAdultCross-Sectional StudiesDiabetes Mellitus, Type 1Diabetic KetoacidosisFemaleHumansMaleSchoolsSports Medicinecertified athletic trainerdiabetes mellitusdiabetic ketoacidosistype 1

Identifiers

PMID33855200
PMCPMC8029515

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.