Evidence map›Paper›PMID 36337672›Full record

ArticleInternational journal of general medicine2022

Quantitative Assessment of Pancreatic Fat by Quantitative CT in Type 2 Diabetes Mellitus.

Zhizhen Li, Qingmei Yue, Yunjin Chen, Yifan Zhang, Yamin Wan

Open access · goldAbstract read
In one paragraph

Article in International journal of general medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Zhizhen LiDepartment of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Qingmei YueDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Yunjin ChenDepartment of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Yifan ZhangDepartment of Endocrinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.
Yamin WanDepartment of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, People's Republic of China.ORCID 0000-0002-3991-6775
First Affiliated Hospital of Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To characterize the pancreatic fat deposition (PFD) in patients with type 2 diabetes mellitus (T2DM) by quantitative computed tomography (QCT) and investigate the relationship between PFD and clinical metabolic parameters and islet function. Materials and Methods: A total of 150 patients with T2DM and 93 age-matched healthy subjects underwent QCT to quantify PFD were included. PFD and various biochemical parameters were correlated by statistical methods and multiple stepwise linear regression modeling. Results: PFD measured by QCT in the T2DM group was statistically higher than that in the healthy control group, and the pancreatic CT value was statistically lower than that in the control group. The QCT measured PFD was negatively correlated with the pancreatic CT values (P < 0.001), and positively correlated with triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), visceral fat area (VAT) and insulin resistance index (HOMA-IR) (P < 0.05) in the T2DM patients. Multiple stepwise linear regression analysis identified PFD as the dependent variable factor for T2DM. Conclusion: This study suggests QCT as a reliable technique in measuring PFD in T2DM. High PFD is positively correlated with the degree of insulin resistance and may play an important role in islet cell dysfunction in T2DM.

Indexed as

insulin resistancepancreatic fat depositionquantitative computed tomographytype 2 diabetes mellitus

Identifiers

PMID36337672
PMCPMC9629247
OpenAlexW4307708945

What OpenQuestion holds

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Registered trials

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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.