Evidence map›Paper›PMID 33969127›Full record

ArticleJournal of diabetes research2021

Association of the Ratio of Triglycerides to High-Density Lipoprotein Cholesterol Levels with the Risk of Type 2 Diabetes: A Retrospective Cohort Study in Beijing.

Hongzhou Liu, Shuangtong Yan, Gang Chen, Bing Li, Ling Zhao, Yajing Wang, Xiaodong Hu, Xiaomeng Jia, Jingtao Dou, Yiming Mu and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

12 authors at 2 institutions in 1 country.

Hongzhou LiuThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-9930-4535
Shuangtong YanDepartment of Endocrinology, The Second Medical Center & National Clinical Research Center for Geriatric Diseases, Chinese PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0003-2344-4504
Gang ChenDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou 350001, China.ORCID https://orcid.org/0000-0002-8105-2384
Bing LiThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-1510-3227
Ling ZhaoThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-8236-0215
Yajing WangThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-7679-8384
Xiaodong HuThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-8210-8626
Xiaomeng JiaThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-4641-6875
Jingtao DouThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-7079-8674
Yiming MuThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-3344-3540
Junping WenDepartment of Endocrinology, Fujian Provincial Hospital, Key Laboratory of Endocrinology, Fujian Medical University, Fuzhou 350001, China.ORCID https://orcid.org/0000-0002-5650-5281
Zhaohui LyuThe Department and Key Laboratory of Endocrinology and Metabolism, The First Medical Center of PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0002-3912-329X
Chinese PLA General Hospital · CNFujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have shown that the ratio of triglyceride to high-density lipoprotein cholesterol level (TG/HDL-C) is a risk factor for type 2 diabetes mellitus (T2DM). The aim of this study was to investigate the nonlinear relationship between TG/HDL-C and the incidence of T2DM in a Chinese population.

methodsWe used logistic regression models to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the incidence of T2DM among 7,791 participants from the Risk Evaluation of cAncers in Chinese diabeTic Individuals: a lONgitudinal (REACTION) cohort study at baseline.

resultsAfter adjusting for age, sex, body mass index, smoking status, alcohol intake, low-density lipoprotein cholesterol level, strenuous activity, education level, family histories of T2DM and tumors, and the presence of hypertension, tumor, stroke, and coronary heart disease, we showed that TG/HDL-C was positively associated with the incidence of T2DM at the 4-year follow-up (OR = 1.49, 95%CI = 1.26-1.78). TG/HDL-C and incidence of T2DM showed a nonlinear relationship; the inflection point of TG/HDL-C was 1.50. The ORs (95% CI) on the left and right sides of the inflection point were 2.50 (1.70-3.67) and 0.96 (0.67-1.37), respectively. After adjusting for age, sex, and body mass index (BMI) in the linear relationship, the OR of the incidence of T2DM was 1.60 (95%CI = 1.37-1.87). When the TG/HDL-C was less than 1.50 or greater than 1.76, the ORs (95% CI) were 2.41 (1.82-3.18) or 0.81 (0.53-1.25), respectively. Subgroup analysis showed no relationships of T2DM incidence with sex, BMI, family history of T2DM, or TG/HDL-C.

conclusionTG/HDL-C is positively associated with diabetes risk. In our study, with each increasing quintile, the risk of T2DM after 4 years was 1.60 or 1.49 depending on the variables adjusted. In addition, our cohort study showed a nonlinear relationship between TG/HDL-C and T2DM incidence, with an inflection point of 1.76 or 1.50, depending on the variables adjusted. When the TG/HDL was less than 1.50, the ORs (95% CI) were 2.41 (1.82-3.18) and 2.50 (1.70-3.67). When the TG/HDL-C was greater than 1.76 or 1.50, there was no significant difference in the change in OR.

Indexed as

AdultAgedBeijingBiomarkersCholesterol, HDLDiabetes Mellitus, Type 2DyslipidemiasFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesBiomarkersCholesterol, HDLTriglycerides

Identifiers

PMID33969127
PMCPMC8081643
OpenAlexW3152764604

What Socratic 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 Socratic graph.