Evidence map›Paper›PMID 31282179›Full record

ArticleJournal of diabetes science and technology2021

Comparison of CGM-Derived Measures of Glycemic Variability Between Pancreatogenic Diabetes and Type 2 Diabetes Mellitus.

Channabasappa Shivaprasad, Yalamanchi Aiswarya, Shah Kejal, Atluri Sridevi, Biswas Anupam, Barure Ramdas, Kolla Gautham, Premchander Aarudhra

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Continuous glucose monitoring to assess glucose variability in type 3c diabetes.Diabetic medicine : a journal of the British Diabetic Association · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Fibrocalculous Pancreatic Diabetes.Current diabetes reports · 2020
    Review
  18. Review
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

8 authors.

Channabasappa ShivaprasadDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.ORCID 0000-0003-2847-1747
Yalamanchi AiswaryaDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
Shah KejalDepartment of Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
Atluri SrideviDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
Biswas AnupamDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
Barure RamdasDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
Kolla GauthamDepartment of Endocrinology, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.
Premchander AarudhraDepartment of Internal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo compare glycemic variability (GV) indices between patients with fibrocalculous pancreatic diabetes (FCPD) and type 2 diabetes mellitus (T2D) using continuous glucose monitoring (CGM).

methodsWe measured GV indices using CGM (iPro™2 Professional CGM, Medtronic, USA) data in 61 patients each with FCPD and T2D who were matched for glycated hemoglobin A1c (HbA1c) and duration of diabetes. GlyCulator2 software was used to estimate the CGM-derived measures of GV (SD, mean amplitude of glycemic excursion [MAGE], continuous overall net glycemic action [CONGA], absolute means of daily differences [MODD],

resultsAll the CGM-derived measures of GV (SD, MAGE, CONGA, MODD, and %CV), except

conclusionsFCPD is associated with higher GV than is T2D. The findings of higher postprandial glycemic excursions in patients with FCPD could have potential therapeutic implications.

Indexed as

Diabetes Mellitus, Type 2HypoglycemiaBlood GlucoseBlood Glucose Self-MonitoringGlycated HemoglobinHumansBlood GlucoseGlycated HemoglobinCGMfibrocalculous pancreatic diabetesglycemic variabilityhypoglycemiaMAGEtype 2 diabetes

Identifiers

PMID31282179
PMCPMC7782997

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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.