Evidence map›Paper›PMID 33384467›Full record

ArticleClinical diabetes : a publication of the American Diabetes Association2020

Structured Blood Glucose Monitoring in Primary Care: A Practical, Evidence-Based Approach.

Aniruddha D Logan, Jennifer Jones, Louis Kuritzky

Open access · bronzeAbstract read
In one paragraph

Article in Clinical diabetes : a publication of the American Diabetes Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Postprandial Glucose: A Variable in Continuum.Clinical medicine insights. Endocrinology and diabetes · 2025
    Review
  4. Unleashing the Potential of Blood Glucose Monitoring Data With the Ambulatory Glucose Profile Report.Clinical diabetes : a publication of the American Diabetes Association · 2024
    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

3 authors at 2 institutions in 1 country.

Aniruddha D LoganUniversity of Central Florida College of Medicine/HCA Consortium Family Medicine Residency, Gainesville, FL.
Jennifer JonesUniversity of Central Florida College of Medicine/HCA Consortium Family Medicine Residency, Gainesville, FL.ORCID 0000-0003-4809-9241
Louis KuritzkyUniversity of Florida, Gainesville, FL.ORCID 0000-0003-4102-6883
University of Central Florida · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive care of diabetes requires satisfactory stewardship of an underutilized prescription in diabetes management: the prescription for structured blood glucose monitoring (BGM). Structured BGM is a recommended schedule of actionable blood glucose measurements taken at specific times with the intent of using the data for individualized patient education and therapeutic intervention. The utility of different BGM protocols is logically dictated by a patient's therapeutic regimen. This article reviews the prescription for structured BGM in the setting of intensive insulin, nonintensive basal insulin, and noninsulin treatment regimens. Evidence-based prescriptions of structured 5- to 7-point BGM profiles in diabetes provide essential information for productive clinician- and patient-directed therapeutic interventions. The effective implementation of structured BGM aids clinicians in achieving the desired goal of A1C reduction while bolstering patient education and empowering self-management.

Identifiers

PMID33384467
PMCPMC7755052
OpenAlexW3111344838

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.