Evidence map›Paper›PMID 39802657›Full record

ArticleFrontiers in microbiology2024

Proteomic and metabolomic profiling of plasma uncovers immune responses in patients with Long COVID-19.

Yulin Wei, Hongyan Gu, Jun Ma, Xiaojuan Mao, Bing Wang, Weiyan Wu, Shiming Yu, Jinyuan Wang, Huan Zhao, Yanbin He

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  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

10 authors.

Yulin WeiDepartment of Pulmonary and Critical Care Medicine, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.
Hongyan GuDepartment of Pulmonary and Critical Care Medicine, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.
Jun MaDepartment of Pulmonary and Critical Care Medicine, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.
Xiaojuan MaoDepartment of Pulmonary and Critical Care Medicine, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.
Bing WangKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.
Weiyan WuKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.
Shiming YuKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.
Jinyuan WangKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.
Huan ZhaoDepartment of Pulmonary and Critical Care Medicine, Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), Nantong, Jiangsu, China.
Yanbin HeKey Laboratory of Digital Technology in Medical Diagnostics of Zhejiang Province, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long COVID is an often-debilitating condition with severe, multisystem symptoms that can persist for weeks or months and increase the risk of various diseases. Currently, there is a lack of diagnostic tools for Long COVID in clinical practice. Therefore, this study utilizes plasma proteomics and metabolomics technologies to understand the molecular profile and pathophysiological mechanisms of Long COVID, providing clinical evidence for the development of potential biomarkers. This study included three age- and gender-matched cohorts: healthy controls (

Indexed as

Long COVIDmechanismmetabolomicsplasmaproteomics

Identifiers

PMID39802657
PMCPMC11718655

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.