Evidence map›Paper›PMID 35265434›Full record

ArticleCureus2022

Dyslipidemia Among Patients With Type 1 Diabetes and Its Associated Factors in Saudi Arabia: An Analytical Cross-Sectional Study.

Abdullah A Alrasheed

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Complications of obesity in children and youths with type 1 diabetes mellitus.Pediatric endocrinology, diabetes, and metabolism · 2025
    Article
  3. Article
  4. Review
  5. Article
  6. Article
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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

1 author at 1 institution in 1 country.

Abdullah A AlrasheedDepartment of Family and Community Medicine, King Saud University, Riyadh, SAU.
King Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives The present study was conducted to determine the prevalence of dyslipidemia among patients with type 1 diabetes mellitus (T1DM) and its associated factors in Saudi Arabia. Methods An analytical cross-sectional study was conducted to examine patients with T1DM at a tertiary care hospital in Riyadh, Saudi Arabia. The hospital's electronic medical records (EMRs) and a telephone survey were used to collect data after obtaining institutional approval and informed consent from every patient. The inclusion criteria included age >18 years, T1DM, and follow-up at the tertiary care hospital. The data collected included age, gender, hypertension, glycosylated hemoglobin (HbA1c), body mass index (BMI), diabetes duration, total cholesterol, triglycerides (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL). Results A total of 234 patients with T1DM were included in the study, which comprised 44.4% men and 55.6% women with an average age of 30.9 ± 9.7 years. Total cholesterol, TG, LDL-C, and HDL-C were 4.6 ± 1.04 mmol/L, 1.1 ± 0.60 mmol/L, 2.6 ± 0.89 mmol/L, and 1.5 ± 0.43 mmol/L, respectively. About 18.4% were hypertensive, and about 51.9% and 50% men and women had dyslipidemia, respectively. Males and HbA1c ≥ 7% showed significant associations with dyslipidemia. Conclusion Dyslipidemia is prevalent in patients with T1DM in Saudi Arabia, which warrants the use of solid preventive strategies to limit the risk of cardiovascular disease.

Indexed as

dyslipidemialipid profileprevalence studysaudi arabiatype 1 diabetes mellitus (t1d)

Identifiers

PMID35265434
PMCPMC8899866
OpenAlexW4210393566

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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.