Evidence map›Paper›PMID 40502935›Full record

ReviewComputational and structural biotechnology journal2025

Dual threat: Susceptibility mechanisms and treatment strategies for COVID-19 and bacterial co-infections.

Keda Chen, Ruiqi Weng, Jiaxuan Li, Hao Wu, Xiaotian Tie, Hongyu Li, Yuanyuan Zhang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Computational and structural biotechnology journal, 2025. 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

7 authors.

Keda ChenKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310015, PR China.
Ruiqi WengKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310015, PR China.
Jiaxuan LiKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310015, PR China.
Hao WuZhejiang Chinese Medical University, Hangzhou 310053, PR China.
Xiaotian TieZhejiang Chinese Medical University, Hangzhou 310053, PR China.
Hongyu LiKey Laboratory of Artificial Organs and Computational Medicine in Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou 310015, PR China.
Yuanyuan ZhangChildren's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou 310052, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has rapidly spread worldwide, posing significant challenges to public health systems. This review offers an in-depth examination of the mechanisms underlying susceptibility and associated clinical features, and treatment strategies associated with bacterial co-infections in COVID-19 patients. A structured review of the literature revealed that the overall rate of bacterial co-infection among COVID-19 patients is relatively low (6.9 %). However, the rate increases significantly in severe cases (8.1 %) and reaches as high as 23.5 % among ICU patients. Common pathogens include

Indexed as

COVID-19Immune responseSARS-CoV-2Secondary bacterial infectionSusceptibility mechanismTreatment strategy

Identifiers

PMID40502935
PMCPMC12153053

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.