Evidence map›Paper›PMID 27805013›Full record

ArticleScientific reports2016

Increasing trend of diabetes combined with hypertension or hypercholesterolemia: NHANES data analysis 1999-2012.

Yongfeng Song, Xiaoyun Liu, Xiaolin Zhu, Bin Zhao, Bo Hu, Xia Sheng, Lan Chen, Miao Yu, Tao Yang, Jiajun Zhao

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05907629 (Comparison of Anti-coagulation and Anti-Platelet Therapies for Intracranial Vascular Atherostenosis- Magnetic Resonance Imaging), which is not on this map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
23.9field-weighted citation impact, top 1% 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.

NCT05907629 recruitingnot on this mapstarted 2024, after this paper: background citation

Comparison of Anti-coagulation and Anti-Platelet Therapies for Intracranial Vascular Atherostenosis- Magnetic Resonance Imaging

TypeobservationalSponsorYale UniversityRan2024 to 2029Enrolled300ConditionsStroke, Intracranial Atherosclerotic Stenosis (ICAS)ArmsMRI
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 52 citations in OpenAlex.

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  20. Fixed-dose combinations of lipid-lowering and antihypertensive agents: The way forward?Journal of clinical hypertension (Greenwich, Conn.) · 2020
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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

10 authors at 4 institutions in 2 countries.

Yongfeng SongDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwu Weiqi Road, Jinan 250021, China.
Xiaoyun LiuDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China.
Xiaolin ZhuMSD China Holding Company, No. 1601 Nanjing West Road, Shanghai 200040, China.
Bin ZhaoMSD China Holding Company, No. 1601 Nanjing West Road, Shanghai 200040, China.
Bo HuDepartment of Quantitative Health Sciences, Cleveland Clinic. No. 9500 Euclid Avenue Cleveland, Ohio 44195, USA.
Xia ShengMSD China Holding Company, No. 1601 Nanjing West Road, Shanghai 200040, China.
Lan ChenMSD China Holding Company, No. 1601 Nanjing West Road, Shanghai 200040, China.
Miao YuDepartment of Endocrinology, Key Laboratory of Endocrinology, Ministry of Health, Peking Union Medical College Hospital, Diabetes Research Center of Chinese Academy of Medical Sciences &Peking Union Medical College, No. 1 Shuaifu Garden, Beijing 100730, China.
Tao YangDepartment of Endocrinology, The First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing 210029, China.
Jiajun ZhaoDepartment of Endocrinology and Metabolism, Shandong Provincial Hospital affiliated to Shandong University, No. 324 Jingwu Weiqi Road, Jinan 250021, China.
Nanjing Medical University · CNShandong Provincial Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNCleveland Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to prevent cardiovascular endpoints, control of diabetes, hypertension and hypercholesterolemia is a necessity as those risk factors frequently occur in combination. Prevalence trends of concurrent diabetes, hypertension and hypercholesterolemia in 36,673 subjects were obtained from the National Health and Nutrition Examination Survey (NHANES) from 1999-2012. The prevalence of concurrent diabetes, hypertension and hypercholesterolemia increased from 3% in 1999-2000 to 6.3% in 2011-2012 (P < 0.001). The diabetes with concurrent hypertension or hypercholesterolemia incidences also increased significantly, while the occurrence of concurrent hypertension and hypercholesterolemia was stable over the study period. Overall medical drug treatments for concurrent diabetes, hypertension, hypercholesterolemia were improved from 69.8% in 1999-2006, to 82.4% in 2007-2012 (P = 0.002). Treatment cost coverage rates in any combinations with diabetes were 79-82.4% and 90.7% in the subgroup of concurrent hypertension and hypercholesterolemia. General treatment goal achievement rates were <25%, the lowest rate being 14.2% in the subject groups with three combined risk factors. The treatment goal achievement rates in two subgroups with concurrent diabetes were 20.1% (with hypertension) and 17% (with hypercholesterolemia) and 24.5% in the group without diabetes. Cost coverage improved in all combinations, but the general treatment goal achievement rates were low, especially in the groups with concurrent diabetes.

Indexed as

AgedCardiovascular DiseasesDiabetes MellitusFemaleHumansHypercholesterolemiaMaleMiddle AgedNutrition SurveysObesityRisk Factors

Identifiers

PMID27805013
PMCPMC5090961
OpenAlexW2548871269

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.