ArticlePreventive medicine2021
Race and gender differences in abnormal blood glucose screening and clinician response to prediabetes: A mixed-methods assessment.
Article in Preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Pooled it
- [Gender Bias in Low-Value Clinical Practices in Primary Care: A Scoping Review].Atencion primaria · 2026Article
- Factors Associated with Non-Adherence to Blood Glucose Testing Among Non-Hispanic Black and Hispanic Men with a History of Prediabetes in the United States.Patient preference and adherence · 2026Article
- A mixed-methods assessment of engagement in wellness programs for patients with prediabetes: Factors associated with referral and participation in lifestyle wellness programs.Preventive medicine reports · 2024Article
- Perspective: Nutrition Health Disparities Framework: A Model to Advance Health Equity.Advances in nutrition (Bethesda, Md.) · 2024Article
- Lack of sex- and gender-disaggregated data in diagnostics: findings from a scoping review of five tracer conditions.Frontiers in public health · 2024Article
- Prevalence of Testing for Diabetes Among US Adults With Overweight or Obesity, 2016-2019.Preventing chronic disease · 2023Article
- Screening for Prediabetes and Diabetes in a National Network of Federally Qualified Health Centers: An Observational Study.Journal of general internal medicine · 2023Observational
- Continuous glucose monitoring metrics for earlier identification of pre-diabetes: protocol for a systematic review and meta-analysis.BMJ open · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
The projected three-fold increase in diabetes burden by 2060 in the United States will affect certain race and gender groups disproportionately. The objective of this mixed-methods study was to assess differences in prediabetes screening and clinician response to prediabetes by patient race and gender. We utilized data from 18,742 patients seen between 11/1/15 and 4/30/17 who met criteria for blood glucose screening by the 2015 US Preventive Service Task Force recommendation and had at least one visit to a primary care practice within a large, academic health system located in North Carolina. We utilized generalized estimating equations with logistic regression to assess race and gender differences in two outcomes: prediabetes screening and clinician response to prediabetes. We conducted twenty in-depth interviews (October 2018-May 2019) with physicians to assess their approach to screening for and treating prediabetes. Black patients had 11% higher odds (95% CI:1.02-1.20) of being screened for prediabetes than White patients. Men had 19% higher odds (95% CI:1.09-1.30) of being screened for prediabetes than women. There were no significant differences in clinician response to prediabetes by patient race or gender. Qualitatively, physicians reported a non-systematic approach to prediabetes screening and follow-up care related to: 1) System-level barriers to screening and treatment; 2) Implicit bias; 3) Patient factors; and 4) Physician preferences for prediabetes treatment. Targeted risk-based screening for prediabetes along with increased treatment for prediabetes are critical for preventing diabetes and reducing diabetes-related disparities.
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Registered trials
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.