Evidence map›Paper›PMID 38590883›Full record

ArticleHeliyon2024

The close association of micronutrients with COVID-19.

Aimin Zhang, Yue Yin, Jiashu Tian, Xialin Wang, Zhihong Yue, Lin Pei, Li Liu, Li Qin, Mei Jia, Hui Wang and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

13 authors at 4 institutions in 1 country.

Aimin ZhangDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Yue YinDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Jiashu TianDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Xialin WangBeckman Coulter Commercial Enterprise Co. Ltd., No.518 Fuquan North Road, Shanghai, China.
Zhihong YueDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Lin PeiDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Li LiuDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Li QinDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Mei JiaDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Hui WangDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Qingwei MaBioyong Technologies Inc., Dewei Science Park, No.12 Kechuang 13th Street, Beijing, China.
Wei-Bo GaoDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Lin-Lin CaoDepartment of Clinical Laboratory, Peking University People's Hospital, No.11 Xizhimen South Street, Beijing, China.
Peking University People's Hospital · CNPeking University · CNBeihua University · CNBeijing Biocytogen (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The present study was conducted to explore the performance of micronutrients in the prediction and prevention of coronavirus disease 2019 (COVID-19). Methods: This is an observational case-control study. 149 normal controls (NCs) and 214 COVID-19 patients were included in this study. Fat-soluble and water-soluble vitamins were determined by liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, and inorganic elements were detected by inductively coupled plasma-mass spectrometry (ICP-MS) analysis. A logistic regression model based on six micronutrients were constructed using DxAI platform. Results: Many micronutrients were dysregulated in COVID-19 compared to normal control (NC). 25-Hydroxyvitamin D3 [25(OH)D3], magnesium (Mg), copper (Cu), calcium (Ca) and vitamin B6 (pyridoxic acid, PA) were significantly independent risk factors for COVID-19. The logistic regression model consisted of 25(OH)D3, Mg, Cu, Ca, vitamin B5 (VB5) and PA was developed, and displayed a strong discriminative capability to differentiate COVID-19 patients from NC individuals [area under the receiver operating characteristic curve (AUROC) = 0.901]. In addition, the model had great predictive ability in discriminating mild/normal COVID-19 patients from NC individuals (AUROC = 0.883). Conclusions: Our study showed that micronutrients were associated with COVID-19, and our logistic regression model based on six micronutrients has potential in clinical management of COVID-19, and will be useful for prediction of COVID-19 and screening of high-risk population.

Indexed as

COVID-19Logistic regressionMass spectrometryMicronutrientSARS-CoV-2

Identifiers

PMID38590883
PMCPMC11000022
OpenAlexW4393226625

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.