Evidence mapPaperPMID 38491155Full record

ArticleScientific reports2024

The association between variability of risk factors and complications in type 2 diabetes mellitus: a retrospective study.

Mengjie Chen, Lihui Pu, Yuqin Gan, Xiaoxia Wang, Laixi Kong, Maoting Guo, Huiqi Yang, Zhe Li, Zhenzhen Xiong

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. 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

9 authors at 3 institutions in 3 countries.

Mengjie Chen *School of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China.
Lihui Pu *Menzies Health Institute Queensland, Griffith University, Brisbane, QLD, 4111, Australia.
Yuqin GanSchool of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China.
Xiaoxia WangSchool of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China.
Laixi KongSchool of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China.
Maoting GuoSchool of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China.
Huiqi YangNanbu County People's Hospital, Nanchong, 637300, Sichuan, China.
Zhe LiMental Health Center, West China Hospital, Sichuan University, No. 28 Dianxin South Road, Chengdu, 610041, Sichuan, China. jay_li@163.com.
Zhenzhen XiongSchool of Nursing, Chengdu Medical College, No. 601 Tian Hui Road, Rong Du Avenue, Chengdu, 610083, Sichuan, China. xzz62308631@163.com.
Chengdu Medical College · CNGriffith University · AUNanchong Central Hospital · CN

Funding

the 2022 Clinical Medicine Research Center for Geriatric Diseases Open Topics Grant numbers [2022 LHFSSYB-05]
6 · The paper itself

Abstract

The variability in diabetes risk factors, such as uric acid and lipids, may influence the development of complications. This study aimed to investigate the influence of such variability on the occurrence of diabetic complications. A retrospective analysis of electronic medical records was conducted with type 2 diabetic patients who received treatment at a tertiary care hospital in Chengdu, Sichuan Province, between 2013 and 2022. The risk factor variability is presented as the standard deviation (SD). The associations between the variability and complications were examined using a binary logistic regression model. The study included 369 patients with type 2 diabetes. The findings revealed that outpatient special disease management served as a protective factor against the development of complications [OR = 0.53, 95% confidence interval (CI) (0.29-0.10)], particularly for the prevention of diabetic peripheral neuropathy [OR = 0.51, 95% CI (0.30-0.86)]. Variability in total cholesterol (TC-SD) was found to be a risk factor for the development of complications [OR = 2.42, 95% CI (1.18-4.97)] and acted as a risk factor for diabetic peripheral vasculopathy [OR = 2.50, 95% CI (1.25-5.02)]. TC-SD is a risk factor for the occurrence of diabetic peripheral neuropathy and diabetic peripheral vasculopathy, whereas outpatient special disease management functions as a protective factor against complications and diabetic peripheral neuropathy. Thus, in addition to glycaemic control, the regulation of lipid levels should be emphasized, particularly among patients without outpatient special disease management, to delay the onset of complications.

Indexed as

Diabetes Mellitus, Type 2Diabetic AngiopathiesDiabetic NeuropathiesPeripheral Vascular DiseasesHumansRetrospective StudiesRisk FactorsComplicationsOutpatient special disease managementTotal cholesterolType 2 diabetes mellitusVariability

Identifiers

PMID38491155
PMCPMC10943073
OpenAlexW4392884854

What Socratic holds

Textmetadata
LicenceCC BY
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.