Evidence map›Paper›PMID 28730532›Full record

ArticleJournal of general internal medicine2017

Survey of primary care providers' knowledge of screening for, diagnosing and managing prediabetes.

Eva Tseng, Raquel C Greer, Paul O'Rourke, Hsin-Chieh Yeh, Maura M McGuire, Jeanne M Clark, Nisa M Maruthur

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% of its field
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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Eva TsengDivision of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA. etseng3@jhmi.edu.
Raquel C GreerDivision of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Paul O'RourkeDivision of General Internal Medicine, Johns Hopkins Bayview Medical Center, Baltimore, MD, USA.
Hsin-Chieh YehDivision of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Maura M McGuireDivision of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Jeanne M ClarkDivision of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Nisa M MaruthurDivision of General Internal Medicine, The Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USJohns Hopkins Bayview Medical Center · US

Funding

Improving Primary Care to Narrow Racial Disparities in Chronic Kidney DiseaseK23DK094975 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI GREER, RAQUEL CHARLES · 2012 to 2015
$722k
NIDDK NIH HHS K23 DK094975
6 · The paper itself

Abstract

backgroundPrediabetes affects 86 million US adults, but primary care providers' (PCPs') knowledge, practices, attitudes and beliefs toward prediabetes are unclear.

objectiveAssess PCPs' (1) knowledge of risk factors that should prompt prediabetes screening, laboratory criteria for diagnosing prediabetes and guidelines for management of prediabetes; (2) management practices around prediabetes; (3) attitudes and beliefs about prediabetes.

designSelf-administered written survey of PCPs.

participantsOne hundred forty of 155 PCPs (90%) attending an annual provider retreat for academically affiliated multispecialty practices in the mid-Atlantic region. MAIN MEASURES: Descriptive analyses of survey questions on knowledge, management, and attitudes and beliefs related to prediabetes. Multivariate logistic regression was used to determine the association between provider characteristics (gender, race/ethnicity, years since training, specialty and provider type) and knowledge, management, and attitudes and beliefs about prediabetes. KEY

resultsSix percent of PCPs correctly identified all of the risk factors that should prompt prediabetes screening. Only 17% of PCPs correctly identified the laboratory parameters for diagnosing prediabetes based on both fasting glucose and hemoglobin A1c. Nearly 90% of PCPs reported close follow-up (within 6 months) of patients with prediabetes. Few PCPs (11%) selected referral to a behavioral weight loss program as the recommended initial management approach to prediabetes. PCPs agreed that patient-related factors are important barriers to lifestyle change and metformin use. Provider characteristics were generally not associated with knowledge, management, attitudes and beliefs about prediabetes in multivariate analyses.

conclusionsAddressing gaps in knowledge and the underutilization of behavioral weight loss programs in prediabetes are two essential areas where PCPs could take a lead in curbing the diabetes epidemic.

Indexed as

Attitude of Health PersonnelHealth PersonnelSurveys and QuestionnairesDiabetes MellitusDisease ManagementFemaleHealth Knowledge, Attitudes, PracticeHumansMalePhysicians, Primary CarePrediabetic StatePrimary Health CarePrediabetesPreventionPrimary care

Identifiers

PMID28730532
PMCPMC5653548
OpenAlexW2738878089

What OpenQuestion holds

Textmetadata
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.