Evidence map›Paper›PMID 35111222›Full record

ArticleInternational journal of endocrinology2022

Insulin-induced Lipohypertrophy in Patients with Type 1 Diabetes Mellitus Treated with an Insulin Pump.

Damian Ucieklak, Sandra Mrozinska, Aleksandra Wojnarska, Maciej T Malecki, Tomasz Klupa, Bartłomiej Matejko

Abstract read
In one paragraph

Article in International journal of endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Optimising Insulin Injection Techniques to Improve Diabetes Outcomes.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2023
    Review
  8. 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.

Damian UcieklakDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0001-8767-403X
Sandra MrozinskaDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0003-3837-5409
Aleksandra WojnarskaUniversity Hospital, Krakow, Poland.ORCID https://orcid.org/0000-0001-5760-3230
Maciej T MaleckiDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0002-4794-0820
Tomasz KlupaDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0002-7199-4079
Bartłomiej MatejkoDepartment of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland.ORCID https://orcid.org/0000-0001-6938-352X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLipohypertrophy (LH) of subcutaneous tissue is an insulin-induced complication occurring in patients with diabetes. We aimed to define the prevalence of LH and identify its risk factors in type 1 diabetes (T1DM) patients treated with continuous subcutaneous insulin infusion (CSII). MATERIALS AND

methodsThe study included 79 consecutive CSII-treated T1DM patients. The diagnose of LH was based on ultrasonography (US) as a reference method, physical examination was also performed. Clinical characteristics were available from the medical records.

resultsThe median age of patients was 28 years (interquartile range [IQR], 24-30.5) with a body mass index (BMI) of 24.5 ± 3.5 kg/m

conclusionThis selected T1DM cohort treated with CSII had a very high prevalence of LH. US assessment should be considered as a reference method for LH screening in T1DM patients. The identified risk factors for the number of LH lesions were related to insulin dosing.

Identifiers

PMID35111222
PMCPMC8803446

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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.