Evidence mapPaperPMID 35747779Full record

ArticleFrontiers in public health2022

The Association Between Plasma Copper Concentration and Prevalence of Diabetes in Chinese Adults With Hypertension.

Zhixin Cui, Hong Chen, Wenhai Lu, Ping Wang, Ziyi Zhou, Nan Zhang, Zhuo Wang, Tengfei Lin, Yun Song, Lishun Liu and 11 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 19% 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, 16 citations in OpenAlex.

  1. Cuproptosis and Diabetic Osteoporosis: Mechanisms and Therapeutic Prospects.International journal of molecular sciences · 2026
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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

21 authors at 11 institutions in 1 country.

Zhixin CuiSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Hong ChenSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Wenhai LuSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Ping WangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Ziyi ZhouGraduate School at Shenzhen, Tsinghua University, Shenzhen, China.
Nan ZhangDepartment of Cardiology, Peking University First Hospital, Beijing, China.
Zhuo WangKey Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.
Tengfei LinKey Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.
Yun SongKey Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.
Lishun LiuGraduate School at Shenzhen, Tsinghua University, Shenzhen, China.
Xiao HuangDepartment of Cardiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Ping ChenCollege of Pharmacy, Jinan University, Guangzhou, China.
Genfu TangSchool of Heath Administration, Anhui Medical University, Hefei, China.
Juan GaoDepartment of Neurology, Baoding First Central Hospital, Baoding, China.
Yong DuanYunnan Key Laboratory of Laboratory Medicine, Kunming, China.
Binyan WangDepartment of Clinical Research, Shenzhen Evergreen Medical Institute, Shenzhen, China.
Hao ZhangKey Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.
Xiping XuKey Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, China.
Yan YangSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Xianhui QinInstitute of Biomedicine, Anhui Medical University, Hefei, China.
Huicui MengSchool of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
Sun Yat-sen University · CNAnhui Medical University · CNChina Agricultural University · CNBaoding People's Hospital · CNFirst Affiliated Hospital of Kunming Medical University · CNJinan University · CNNanchang University · CNPeking University First Hospital · CNShenzhen Institutes of Advanced Technology · CNTsinghua University · CNUniversity Town of Shenzhen · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The relationship between plasma copper concentration and prevalence of diabetes in adults with hypertension is unclear. We aimed to determine the association between plasma copper concentration and prevalence of diabetes in Chinese adults with hypertension. Methods: A total of 2,579 participants (697 cases and 1,882 controls) was included in this cross-sectional study. Plasma copper concentrations were determined by inductively coupled plasma mass spectrometry. Multivariable logistic regression model was used to determine the association between plasma copper concentration and prevalence of diabetes. Results: According to the logistic regression analyses, the adjusted OR for the prevalence of diabetes in participants with plasma copper concentration ≥109.4 μg/dL was 1.26 (1.00, 1.58) compared with those with plasma copper concentration <109.4 μg/dL ( Conclusion: Our findings suggested that high plasma copper concentration (≥109.4 μg/dL) was associated with increased prevalence of diabetes in Chinese hypertensive adults with serum HDL-C concentration ≥1.2 mmol/L.

Indexed as

Diabetes MellitusHypertensionAdultChinaCholesterol, HDLCopperCross-Sectional StudiesHumansPrevalenceCholesterol, HDLCopperadults with hypertensionChinesecross-sectional studydiabetesplasma copper

Identifiers

PMID35747779
PMCPMC9210921
OpenAlexW4281618393

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.