Evidence map›Paper›PMID 35247144›Full record

ArticleEndocrine2022

Vitamin D is negatively associated with triglyceride in overweight/obese patients with type 2 diabetes.

Tong Gong, Hongjie Di, Xue Han, Xin Hu, Chao Liu, Guofang Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Vitamin D Alleviates Type 2 Diabetes Mellitus by Mitigating Oxidative Stress-Induced Pancreatic β-Cell Impairment.Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association · 2023
    Article
  8. 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

6 authors at 1 institution in 1 country.

Tong GongDepartment of Endocrinology, the Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210019, China.
Hongjie DiDepartment of Endocrinology, the Second Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, 210019, China.
Xue HanDepartment of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China.
Xin HuDepartment of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China.
Chao LiuDepartment of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China.
Guofang ChenDepartment of Endocrinology, Affiliated Hospital of Integrated Traditional Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, 210028, China. chenguofang9801@163.com.ORCID 0000-0003-2499-5594
Nanjing University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeVitamin D has been identified to have a relation to the development of insulin resistance-related diseases, such as type 2 diabetes (T2D). T2D is often associated with obesity and dyslipidemia. Our study aimed to analyze the relationship between vitamin D and lipid profile in patients with T2D.

methodsA total of 446 T2D patients who were hospitalized from January 2015 to December 2016 were recruited. Baseline characteristics were recorded, including body mass index (BMI), serum level of 25 hydroxy vitamin D (25(OH)D), and other biochemical indicators. T2D patients were divided into normal-weight group and overweight/obese group according to their BMI. Subgroup analysis was conducted after patients were subdivided using the quartet-method according to serum level of 25(OH)D. Differences in glucose and lipid metabolism indicators were analyzed. The correlation between serum 25(OH)D and lipid profiles was assessed by the multiple linear regression.

resultsThe levels of serum 25(OH)D and high-density lipoprotein cholesterol in T2D patients of overweight/obesity group were significantly lower than those in normal-weight group, while the levels of triglyceride (TG) and HOMA-IR were significantly higher (P < 0.05). Subgroup analysis uncovered that total cholesterol (TC) and TG levels were lower with higher 25(OH)D in normal weight T2D patients. In overweight/obese T2D patients, TG level was lower in patients with higher 25(OH)D (P < 0.05). There were no significant differences in low-density lipoprotein cholesterol (LDL-C), fasting blood glucose (FBG), fasting insulin (FINS), and hemoglobin Alc (HbAlc) among Q1-Q4 in both normal weight and overweight/obese groups. Pearson test showed that serum 25(OH)D was positively correlated with high density lipoprotein cholesterol (HDL-C), and negatively correlated with TC and TG. Serum 25(OH)D was unrelated to low density lipoprotein cholesterol (LDL-C) in both groups. Multiple linear regression analysis only demonstrated an independent negative correlation between 25(OH)D and TG levels in the overweight/obese group (P < 0.01).

conclusionsIn overweight/obese patients with T2D, serum 25(OH)D was independently, negatively correlated with TG. Vitamin D supplementation should be guaranteed in patients with diabetes, especially with obese T2D.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceBody Mass IndexCholesterol, HDLCholesterol, LDLHumansObesityOverweightTriglyceridesVitamin DVitaminsCholesterol, HDLCholesterol, LDLTriglyceridesVitamin DVitaminsInsulin resistanceLipid profileOverweight/obeseType 2 diabetesVitamin D

Identifiers

PMID35247144
OpenAlexW4221094265

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.