Evidence map›Paper›PMID 36071794›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2022

The Correlation Between Estimated Glucose Disposal Rate and Coagulation Indexes in Type 2 Diabetes Mellitus.

Zelin Li, Cuijuan Qi, Zhuoya Jia, Ruoxi Zhen, Lin Ren, Yujiao Jia, Shuchun Chen

Open access · goldAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2022. 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
0.6field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  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

7 authors at 2 institutions in 1 country.

Zelin LiGraduate School of Hebei Medical University, People's Republic of China.
Cuijuan QiGraduate School of Hebei Medical University, People's Republic of China.
Zhuoya JiaGraduate School of Hebei Medical University, People's Republic of China.
Ruoxi ZhenGraduate School of Hebei Medical University, People's Republic of China.
Lin RenGraduate School of Hebei Medical University, People's Republic of China.
Yujiao JiaGraduate School of Hebei Medical University, People's Republic of China.
Shuchun ChenGraduate School of Hebei Medical University, People's Republic of China.
Hebei Medical University · CNHebei General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To study the correlation between estimated glucose disposition rate (eGDR) and coagulation parameters in type 2 diabetes patients (T2DM). Materials and Methods: A total of 948 patients suffering from T2DM were enrolled for this research. Various blood coagulation parameters including prothrombin time (PT), activated partial thromboplastin time (APTT), and fibrinogen (FIB) were assessed. Body mass index (BMI), hypertension, and the levels of glycated hemoglobin (HbA1c) were used to calculate the patients' eGDRs. All patients were sorted into two groups: those with high eGDRs (eGDR≥7.5) and those with low eGDRs (eGDR<7.5). The patients were then separated into groups of men and women. The connection between eGDR and coagulation indexes was examined using Spearman correlation, Pearson correlation, and multiple linear regression analysis. Results: In comparison to the high-eGDR group, reduced PT and APTT levels with increased FIB levels were observed in the low-eGDR group ( Conclusion: Our study is the first to prove that eGDR demonstrates a correlation with coagulation indexes in T2DM patients. And, this correlation is gender-specific.

Indexed as

coagulation indexesestimated glucose disposal ratetype 2 diabetes mellitus

Identifiers

PMID36071794
PMCPMC9441581
OpenAlexW4293858468

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.