Evidence map›Paper›PMID 39057703›Full record

ArticleMetabolites2024

Early Metabolomic and Immunologic Biomarkers as Prognostic Indicators for COVID-19.

Zigui Chen, Erik Fung, Chun-Kwok Wong, Lowell Ling, Grace Lui, Christopher K C Lai, Rita W Y Ng, Ryan K H Sze, Wendy C S Ho, David S C Hui and 1 more

Abstract read
In one paragraph

Article in Metabolites, 2024. 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
–field-weighted citation impact
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.

  1. Article
  2. Article
  3. Article
  4. 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

11 authors.

Zigui ChenDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.ORCID 0000-0002-8577-1298
Erik FungCardiovascular Science Center and Division of Cardiology, School of Medicine, The Chinese University of Hong Kong, Shenzhen 518172, China.ORCID 0000-0002-8209-9467
Chun-Kwok WongDepartment of Chemical Pathology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.ORCID 0000-0002-5637-8331
Lowell LingDepartment of Anaesthesia and Intensive Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.ORCID 0000-0001-6639-7344
Grace LuiDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.ORCID 0000-0001-5242-2967
Christopher K C LaiDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.ORCID 0000-0001-8591-5944
Rita W Y NgDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.
Ryan K H SzeDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.
Wendy C S HoDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.
David S C HuiDepartment of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.
Paul K S ChanDepartment of Microbiology, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.ORCID 0000-0002-6360-4608

Funding

Food and Health Bureau, HKSAR COVID19F06
6 · The paper itself

Abstract

This prospective study in Hong Kong aimed at identifying prognostic metabolomic and immunologic biomarkers for Coronavirus Disease 2019 (COVID-19). We examined 327 patients, mean age 55 (19-89) years, in whom 33.6% were infected with Omicron and 66.4% were infected with earlier variants. The effect size of disease severity on metabolome outweighed others including age, gender, peak C-reactive protein (CRP), vitamin D and peak viral levels. Sixty-five metabolites demonstrated strong associations and the majority (54, 83.1%) were downregulated in severe disease (z score: -3.30 to -8.61). Ten cytokines/chemokines demonstrated strong associations (

Indexed as

biomarkerchemokinecoronavirusCOVIDcytokinemetabolomeSARS-CoV-2severity

Identifiers

PMID39057703
PMCPMC11278819

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.