Evidence map›Paper›PMID 37831676›Full record

ArticlePloS one2023

Association of the dietary copper intake with all-cause and cardiovascular mortality: A prospective cohort study.

Lei Wang, Yun-Tao Zhao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. 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
0.6field-weighted citation impact, top 33% 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, 4 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Lei WangDepartment of Cardiology, Aerospace Center Hospital, Haidian District, Beijing, PR China.ORCID 0000-0003-4019-2118
Yun-Tao ZhaoDepartment of Cardiology, Aerospace Center Hospital, Haidian District, Beijing, PR China.
Aerospace Center Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCopper (Cu) is a component that performs a crucial role in the normal function and development of the human body. Nonetheless, it is still largely unclear how Cu consumption in the diet relates to the risk for all-cause and cardiovascular disease (CVD) mortality.

methodsData from the National Health and Nutrition Examination Survey from 2001-2018 were used to conduct a prospective cohort study of individuals between the ages of 20 years and above. Regression coefficients and 95% confidence intervals for the link between dietary Cu consumption and all-cause and cardiovascular-related mortality were computed utilizing univariate and multivariate-adjusted Cox proportional hazards models.

resultsA total of 197.9 million non-institutionalized American citizens were represented by the NHANES's 39,784 participants. The link between Cu in the diet and all-cause mortality was discovered to be non-linear in our restricted cubic spline regression models. When comparing the highest with the lowest quartile of Cu consumption in the diet, the weighted multivariate hazard ratios for all-cause mortality were 0.91 (0.83-0.99) for Q2, 0.88 (0.80-0.97) for Q3, and 0.86 (0.76-0.98) for Q4 (P for trend = 0.017). An identical trend was observed for cardiovascular mortality, but the association is not significant.

conclusionThe most important discovery was that higher dietary Cu consumption was associated with a lower risk of all-cause mortality. This trend was also consistent with that of cardiovascular-related mortality, but the association is not significant.

Indexed as

Cardiovascular DiseasesCopperAdultDietHumansNutritional StatusNutrition SurveysProportional Hazards ModelsProspective StudiesRisk FactorsUnited StatesYoung AdultCopper

Identifiers

PMID37831676
PMCPMC10575518
OpenAlexW4387612328

What OpenQuestion holds

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LicenceCC0
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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.