Evidence map›Paper›PMID 28765644›Full record

ArticleScientific reports2017

Lipid levels and new-onset diabetes in a hypertensive population: the China Stroke Primary Prevention Trial.

Leliang Li, Ping Li, Juan Yang, Xiao Huang, Huihui Bao, Chunyan Zhang, Yun Song, Min Zhao, Meng Ji, Yi Wang and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. 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

20 authors at 7 institutions in 1 country.

Leliang LiDepartment of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China.
Ping LiDepartment of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China. lipingsydney@163.com.
Juan YangNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiao HuangDepartment of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China.
Huihui BaoDepartment of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China.
Chunyan ZhangNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yun SongNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Min ZhaoNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Meng JiShanghai Institute of Cardiovascular Diseases, Department of Cardiology, Zhongshan Hospital, Fudan University, Shanghai, China.
Yi WangDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Geng QianDepartment of Cardiology, General Hospital of PLA, Beijing, China.ORCID 0000-0002-3238-5860
Genfu TangInstitute for Biomedicine, Anhui Medical University, Hefei, China.
Shanqun JiangSchool of Life Sciences, Anhui University, Hefei, China.
Qiang DongDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
Yan ZhangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Jianping LiDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Xiping XuNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Binyan WangNational Clinical Research Study Center for Kidney Disease, State Key Laboratory for Organ Failure Research, Renal Division, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yong HuoDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Xiaoshu ChengDepartment of Cardiovascular Medicine, the Second Affiliated Hospital of Nanchang University, Nanchang of Jiangxi, China. xiaoshumenfan@126.com.
Nanfang Hospital · CNNanchang University · CNFudan University · CNPeking University · CNAnhui Medical University · CNAnhui University · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to provide insights into the relationship between lipid levels and new-onset diabetes (NOD) in 14,864 Chinese hypertensive patients without diabetes (6056 men and 8808 women) aged 45-75 years from the China Stroke Primary Prevention Trial (CSPPT, led by Nanfang Hospital, Guangzhou, China). NOD (defined as fasting plasma glucose (FPG) ≥ 7.0 mmol/L at the end of study or self-reported physician diagnosis of diabetes or self-reported use of hypoglycemic agents during follow-up) was analyzed using multivariate analysis. Follow-up was censored on August 24, 2014. Among the 14,864 subjects, 1615 developed NOD (10.9%, men = 10.8% and women = 10.9%). Increased triglycerides (TG) [odds ratio (OR) = 1.18; 95% confidence interval (CI): 1.13-1.25, P < 0.001], TG/HDL (OR = 1.12; 95%CI: 1.08-1.17, P < 0.001), and decreased high density lipoprotein (HDL) (OR = 0.79; 95%CI: 0.67-0.93, P = 0.005) were associated with NOD, independently from age, gender, body mass index, clinical center, systolic blood pressure, diastolic blood pressure, FPG, smoking, and drinking. Compared to subjects with the methylenetetrahydrofolate reductase (MTHFR) 677 CC and TT genotypes, those with the CT genotype had a higher risk of NOD (OR = 1.54; 95%CI: 1.30-1.81, P for interaction = 0.044) in subjects with high TG. These results suggested that TG and TG/HDL were independent risk factors for NOD in this Chinese hypertensive population. HDL was a protective factor for NOD.

Indexed as

AgedChinaDiabetes MellitusDyslipidemiasFemaleHumansHypertensionLipoproteins, HDLMaleMiddle AgedRisk FactorsTriglyceridesLipoproteins, HDLTriglycerides

Identifiers

PMID28765644
PMCPMC5539198
OpenAlexW2738583791

What OpenQuestion 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 OpenQuestion graph.