Evidence map›Paper›PMID 38585415›Full record

ArticleInfection and drug resistance2024

Factors Associated with Mortality Among Severe Omicron Patients for COVID-19.

Shuting Wu, Guichan Liao, Jingchun Mao, Haiming Yan, Juanjuan Chen, Jie Peng

Abstract read
In one paragraph

Article in Infection and drug resistance, 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. Observational
  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

6 authors.

Shuting WuDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Guichan LiaoDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Jingchun MaoDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Haiming YanDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Juanjuan ChenDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Jie PengDepartment of Infectious Diseases, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The purpose of the study was to explore the potential risk factors of mortality in patients with severe pneumonia during the omicron pandemic in South China in 2022. Methods: Clinical data was collected from patients hospitalized with omicron COVID-19. Then, patients were categorized into the non-survival and survival groups. A comprehensive analysis was conducted to analyze the factors associated with negative outcome in individuals suffering from severe omicron COVID-19. Results: In this study, 155 severe COVID-19 patients were included, comprising 55 non-survivors and 100 survivors. Non-survivors, in comparison to survivors, exhibited elevated levels of various biomarkers including neutrophil count, hypersensitive troponin T, urea, creatinine, C-reactive protein, procalcitonin, interleukin-6, plasma D-dimer, and derived neutrophil-to-lymphocyte ratio (dNLR) ( Conclusion: PLT, IL-6, and dNRL independently contributed to the risk of mortality in patients with severe pneumonia during the 2022 omicron pandemic in South China.

Indexed as

COVID-19dNLRomicronrisk factorssevere infection

Identifiers

PMID38585415
PMCPMC10999197

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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.