Evidence map›Paper›PMID 39507910›Full record

ReviewAmerican journal of lifestyle medicine

Patient and Provider Prediabetes Knowledge, Attitudes, and Behaviors in a Large Urban Family Medicine Practice.

Erica Li, Alexa Waters, Amy Cunningham, Alexis Silverio, Jasmine Han, Geoffrey Mills

Abstract readReview
In one paragraph

Review in American journal of lifestyle medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  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

6 authors.

Erica LiDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH).ORCID https://orcid.org/0000-0001-7765-692X
Alexa WatersDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH).
Amy CunninghamDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH).
Alexis SilverioDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH).
Jasmine HanDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH).
Geoffrey MillsDepartment of Family and Community Medicine, Thomas Jefferson University, Philadelphia, PA, USA (EL, AW, AC, AS, GM); and Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA (JH).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One-third of U.S. adults have prediabetes, but only 11% are aware of their condition. Many do not receive education or treatment. The purpose of this study is to understand family medicine providers' and patients' attitudes, knowledge, and behaviors regarding prediabetes and its management, to guide future management interventions. Cross-sectional surveys of providers (

Indexed as

diabetesimpaired fasting glucosemixed methodsPrediabetessurvey

Identifiers

PMID39507910
PMCPMC11536499

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.