Evidence map›Paper›PMID 35103075›Full record

ArticleApplied bionics and biomechanics2022

The Correlation between Type 2 Diabetes Mellitus and Cardiovascular Disease Risk Factors in the Elderly.

Lijuan Zhang, Hua Yang, Ping Yang

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Applied bionics and biomechanics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Cardiometabolic Risk Factors Associated With Type 2 Diabetes Mellitus: A Mechanistic Insight.Clinical medicine insights. Endocrinology and diabetes · 2023
    Review
  4. Association ofGlobal medical genetics · 2023
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Lijuan ZhangThe First People's Hospital of Lianyungang, Lianyungang, 222000 Jiangsu, China.ORCID https://orcid.org/0000-0001-9581-0943
Hua YangThe First People's Hospital of Lianyungang, Lianyungang, 222000 Jiangsu, China.
Ping YangThe First People's Hospital of Lianyungang, Lianyungang, 222000 Jiangsu, China.
The First People’s Hospital of Lianyungang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the improvement of people's living conditions and changes in social lifestyles, the incidence of type 2 diabetes is gradually increasing, and the number of people with diabetes and cardiovascular disease is also increasing. Based on this, the article collects basic information on 650 elderly patients with type 2 diabetes, of which 49.39% are between 60 and 70 years old, 32.46% are between 70 and 80 years old, and 18.15% are between 80 and 90 years old. Through the analysis of related cardiovascular disease risk factors, the correlation between the elderly cardiovascular disease risk factors and type 2 diabetes is explored. The results showed that the correlations between smoking history, diastolic blood pressure, total cholesterol, low-density lipoprotein cholesterol, and the risk of type 2 diabetes in the elderly were 0.987, 0.956, 0.971, and 0.940, respectively. It can be seen that these factors are highly correlated with the risk of type 2 diabetes in the elderly, and smoking history has the strongest correlation, indicating that high levels of smoking may be a key pathogenic factor in the onset of type 2 diabetes. The correlation of other factors is lower than 0.8, indicating that other factors are additional risk factors for the disease. After that, the

Identifiers

PMID35103075
PMCPMC8800622
OpenAlexW4206952960

What OpenQuestion 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 OpenQuestion graph.