Evidence mapPaperPMID 35470692Full record

ReviewJournal of diabetes science and technology2023

Expert Recommendations for Using Time-in-Range and Other Continuous Glucose Monitoring Metrics to Achieve Patient-Centered Glycemic Control in People With Diabetes.

Virginia Bellido, Eva Aguilera, Roque Cardona-Hernandez, Gonzalo Diaz-Soto, Noemi González Pérez de Villar, María J Picón-César, Francisco Javier Ampudia-Blasco

Abstract readReview
In one paragraph

Review in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Proposed Practical Guidelines to Improve Glycaemic Management by Reducing Glycaemic Variability in People with Type 1 Diabetes Mellitus.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Continuous Glucose Monitoring for Prediabetes: What Are the Best Metrics?Journal of diabetes science and technology · 2024
    Review
  17. Article
  18. Article
  19. Article
  20. 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

7 authors.

Virginia BellidoUnidad de Gestión Clínica de Endocrinología y Nutrición, Hospital Universitario Virgen del Rocío, Sevilla, Spain.ORCID 0000-0002-8384-043X
Eva AguileraEndocrinology and Nutrition Department, Health Sciences Research Institute and University, Hospital Germans Trias i Pujol, Badalona, Spain.
Roque Cardona-HernandezDivision of Pediatric Endocrinology, Hospital Sant Joan de Déu, Barcelona, Spain.
Gonzalo Diaz-SotoEndocrinology and Nutrition Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain.
Noemi González Pérez de VillarEndocrinology and Nutrition Department, Hospital Universitario La Paz, Madrid, Spain.
María J Picón-CésarEndocrinology and Nutrition Department, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
Francisco Javier Ampudia-BlascoEndocrinology and Nutrition Department, Hospital Clínico Universitario de Valencia, Valencia, Spain.ORCID 0000-0003-0221-0901

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New metrics for assessing glycemic control beyond HbA1c have recently emerged due to the increasing use of continuous glucose monitoring (CGM) in diabetes clinical practice. Among them, time in range (TIR) has appeared as a simple and intuitive metric that correlates inversely with HbA1c and has also been newly linked to the risk of long-term diabetes complications. The International Consensus on Time in Range established a series of target glucose ranges (TIR, time below range and time above range) and recommendations for time spent within these ranges for different diabetes populations. These parameters should be evaluated together with the ambulatory glucose profile (AGP). Using standardized visual reporting may help people with diabetes and healthcare professionals in the evaluation of glucose control in frequent clinical situations. The objective of the present review is to provide practical insights to quick interpretation of patient-centered metrics based on flash glucose monitoring data, as well as showing some visual examples of common clinical situations and giving practical recommendations for their management.

Indexed as

Blood GlucoseDiabetes MellitusBlood Glucose Self-MonitoringGlycated HemoglobinGlycemic ControlHumansPatient-Centered CareBlood GlucoseGlycated Hemoglobinambulatory glucose profilecontinuous glucose monitoringflash glucose monitoringglycemic variabilityhypoglycemiatime in range

Identifiers

PMID35470692
PMCPMC10563535

What Socratic 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 Socratic graph.