Evidence mapPaperPMID 33713014Full record

ArticleEndocrine2021

Associations of GDF-15 and GDF-15/adiponectin ratio with odds of type 2 diabetes in the Chinese population.

Xiaoying Wu, Wenting Xuan, Lili You, Hong Lian, Feng Li, Xiaoyun Zhang, Qingyu Chen, Kan Sun, Chaogang Chen, Mingtong Xu and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Endocrine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Plasma Levels of Protein Adiponectin (Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Observational
  14. GDF15: a potential therapeutic target for type 1 diabetes.Expert opinion on therapeutic targets · 2022
    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

14 authors at 2 institutions in 1 country.

Xiaoying Wu *Department of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Wenting Xuan *Department of Endocrinology, Dongguan People's Hospital, No. 3 South, Xinguyongwan Road, Wanjiang District, Dongguan, 523059, People's Republic of China.
Lili YouDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Hong LianDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Feng LiDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Xiaoyun ZhangDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Qingyu ChenBoji Healthcare Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Kan SunDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Chaogang ChenDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Mingtong XuDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Yan LiDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Li YanDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China.
Xiuwei ZhangDepartment of Endocrinology, Dongguan People's Hospital, No. 3 South, Xinguyongwan Road, Wanjiang District, Dongguan, 523059, People's Republic of China. dgzxw@163.com.
Meng RenDepartment of Endocrinology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, 107 Yanjiang West Road, Guangzhou, 510120, People's Republic of China. renmeng80@139.com.ORCID http://orcid.org/0000-0001-9935-1449
Sun Yat-sen University · CNDongguan People’s Hospital · CN

Funding

National Major Science and Technology Projects of China 2016YFC0901204Science and Technique Development Special Fund Project of Guangdong Province 2017B020209002
6 · The paper itself

Abstract

purposeWe elucidate the effect of Growth differentiation factor-15(GDF-15)/adiponectin ratio in improving the assessment value for odds of type 2 diabetes.

methodsCross-sectional design. A total of 405 participants (135 patients with newly diagnosed type 2 diabetes, 135 age- and sex-matched participants with prediabetes, and 135 healthy controls) were collected from Guangzhou and Dongguan, China. The serum GDF-15 and adiponectin levels were measured by ELISA and latex-enhanced immunoturbidimetry. Logistic regression analysis and restricted cubic splines were used to evaluate the associations between diabetes and the indicators.

resultsThe low level of adiponectin and high GDF-15/adiponectin ratio were significantly associated with increased odds of type 2 diabetes, but not for GDF-15. Three clusters were identified based on the K-means clustering analysis. Compared to the lowest quartiles of adiponectin, the OR and 95% CI of the highest adiponectin with type 2 diabetes was 0.24 (0.07-0.74, p trend = 0.004) after adjusting for sex, age, BMI, and DBP only in cluster 1. After adjusting for confounding factors, subjects with the highest GDF-15/adiponectin ratio quartiles had 3.9 times (OR = 3.85, 95% CI = 0.76-24.25) and 3.8 times (OR = 3.80, 95% CI = 1.02-14.68) higher odds of type 2 diabetes in cluster 2 and cluster 3, respectively. The association between the GDF-15/adiponectin ratio and type 2 diabetes was attenuated, but still remarkable (OR = 3.18, 95% CI = 1.11-10.18), in cluster 1.

conclusionsHigher GDF-15/adiponectin ratio is independently associated with increased odds of type 2 diabetes for all study populations, suggesting that the GDF-15/adiponectin ratio may be a better indicator of type 2 diabetes.

Indexed as

AdiponectinDiabetes Mellitus, Type 2ChinaCross-Sectional StudiesGrowth Differentiation Factor 15HumansAdiponectinGrowth Differentiation Factor 15AdiponectinGDF-15/adiponectinGrowth differentiation factor-15Type 2 diabetes

Identifiers

PMID33713014
OpenAlexW3135899946

What Socratic holds

Textmetadata
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.