Evidence map›Paper›PMID 35067842›Full record

ArticleBiological trace element research2022

Sex-Specific Association Between Iron Status and the Predicted 10-Year Risk for Atherosclerotic Cardiovascular Disease in Hypertensive Patients.

Juan Zhou, Rui Zhao, Dongxia Wang, Qin Gao, Dan Zhao, Binfa Ouyang, Liping Hao, Xiaolin Peng

Open access · hybridAbstract read
In one paragraph

Article in Biological trace element research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 3 institutions in 1 country.

Juan ZhouShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518051, China.
Rui ZhaoDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Dongxia WangDepartment of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Qin GaoDepartment of Public Health, Jining Medical University, Jining, 272067, China.
Dan ZhaoShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518051, China.
Binfa OuyangShenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518051, China.
Liping Hao *Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
Xiaolin Peng *Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518051, China. xiaolinpeng@hotmail.com.
Shenzhen Nanshan Center for Chronic Disease Control · CNHuazhong University of Science and Technology · CNJining Medical University · CN

Funding

chinese nutrition society-nutrition research foundation CNS-DSM2018A34health and family commission of shenzhen municipality funded project SZSJ2017001nanshan science and technology innovation bureau 2018039natural science foundation of guangdong province 2019A1515012026sanming project of medicine in shenzhen SZSM201803080shenzhen science and technology innovation committee JCYJ20180302144310603
6 · The paper itself

Abstract

Serum ferritin (SF) and haemoglobin (Hb) are widely used in clinical practice to assess iron status. Studies exploring the relationship of SF and Hb with atherosclerotic cardiovascular disease (ASCVD) risk have yielded conflicting results, and some indicated sex specificity. Hypertensive patients have abnormal iron status. However, research on patients with hypertension is limited. We aim to investigate the sex-specific links of SF and Hb with the predicted 10-year ASCVD risk in hypertensive patients. This cross-sectional study included 718 hypertensive men and 708 hypertensive women. The predicted 10-year ASCVD risk was calculated based on the China-PAR equation. The dose-response curves were illustrated by fitting linear and quadratic models. In hypertensive men, the iron status fits for a quadratic model for ASCVD risk, showing a U-shape. After adjusting for potential confounding factors, the regression coefficients and 95% confidence intervals (95% CI) across tertile of SF were 0.0 (reference), - 0.99 (- 1.65, - 0.33) and - 0.22 (- 0.88, 0.44), and of Hb were 0.0 (reference), - 0.74 (- 1.41, - 0.08) and - 0.77 (- 1.46, - 0.08). In hypertensive women, iron status was linearly and positively associated with ASCVD risk. Per one unit increment of log-transformed SF as well as Hb was associated with a 1.22 (95% CI: 0.97, 1.48) and 0.04 (95% CI: 0.02, 0.07) increased in ASCVD risk score, respectively. A significant interaction between iron status and inflammation on ASCVD risk was observed in hypertensive women. SF and Hb showed a U-shape with ASCVD risk in hypertensive men; however, a positive linear relationship was observed in hypertensive women.

Indexed as

AtherosclerosisCardiovascular DiseasesHypertensionCross-Sectional StudiesFemaleFerritinsHemoglobinsHumansIronMaleRisk AssessmentRisk FactorsFerritinsHemoglobinsIronAtherosclerotic cardiovascular diseaseFerritinHaemoglobinHypertensionIronSex-specific

Identifiers

PMID35067842
PMCPMC9492579
OpenAlexW4207031566

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LicenceCC BY
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Registered trials

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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.