Evidence map›Paper›PMID 39759721›Full record

ArticleCureus2024

Anxiety and Body Image Distress in a Type 1 Diabetes Patient With Insulin-Induced Lipodystrophy.

Maham Tahir, Andleeb Raja

Abstract readCase Reports
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Maham TahirEmergency Department, Bahria International Hospital, Rawalpindi, PAK.
Andleeb RajaEmergency Department, Bahria International Hospital, Rawalpindi, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This case report presents a rare instance of a 28-year-old female patient with insulin-induced abdominal lipodystrophy, who presented to the emergency department with symptoms of an anxiety attack triggered by body image distress. She was diagnosed with type 1 diabetes at the age of eight years. For the past 10 years, she has been using insulin glargine and insulin lispro, injecting roughly five times per day. The patient knew the importance of the need to rotate injection sites and injection techniques. She mentioned that she changed her insulin needles every two weeks because she was lazy about it. She also mentioned that she used 4 mm 32G pen needles. Her diabetes was well-controlled, with glycated hemoglobin (HbA1c) levels of 6.5%. Clinical examination revealed a soft swelling with striae on the abdomen (hypogastrium and left iliac fossa). The patient reported repeated insulin injections, both rapid-acting and long-acting, in the same lipodystrophic region because it was less painful and provided easier access to the injection site in public. The patient was known to the emergency department staff due to her repeated visits with symptoms of anxiety. Lipodystrophy is a condition characterized by abnormal fat distribution at insulin injection sites. Insulin-induced lipodystrophy is a known complication of long-term insulin therapy, often leading to local adiposity, metabolic disturbances, and psychological challenges. The report underscores the importance of considering psychological aspects when managing patients with acquired lipodystrophy, highlighting the relationship between fat redistribution and depression in this patient population, who are already at increased risk of mood disorders.

Indexed as

acquired abdominal lipodystrophyacquired lipodystrophydepression and diabetesin patient diabetes education (ide)insulin lipodystrophylipodystrophy negative body imagepsychological aspect of diabetestype 1 diabetes mellitus (t1d)

Identifiers

PMID39759721
PMCPMC11700513

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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.