Evidence map›Paper›PMID 39171080›Full record

ReviewInternational journal of cardiology. Heart & vasculature2024

Utilizing omics technologies in the investigation of sepsis-induced cardiomyopathy.

Zheng Han, Zhen Quan, Siyao Zeng, Lianghe Wen, Hongliang Wang

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of cardiology. Heart & vasculature, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. 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

5 authors.

Zheng HanHarbin Medical University Graduate School, Harbin Medical University, Heilongjiang Province, Harbin 150086, China.
Zhen QuanHarbin Medical University Graduate School, Harbin Medical University, Heilongjiang Province, Harbin 150086, China.
Siyao ZengHarbin Medical University Graduate School, Harbin Medical University, Heilongjiang Province, Harbin 150086, China.
Lianghe WenDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang Province, Harbin 150086, China.
Hongliang WangDepartment of Critical Care Medicine, The Second Affiliated Hospital of Harbin Medical University, Heilongjiang Province, Harbin 150086, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis-induced cardiomyopathy (SIC) is a common and high-mortality complication among critically ill patients. Uncertainties persist regarding the pathogenesis, pathophysiology, and diagnosis of SIC, underscoring the necessity to investigate potential biological mechanisms. With the rise of omics technologies, leveraging their high throughput and big data advantages, a systems biology perspective is employed to study the biological processes of SIC. This approach aids in gaining a better understanding of the disease's onset, progression, and outcomes, ultimately providing improved guidance for clinical practices. This review summarizes the currently applied omics technologies, omics studies related to SIC, and relevant omics databases.

Indexed as

MetabolomicsOmics databaseOmics technologiesProteomicsSepsis-induced cardiomyopathyTranscriptomics

Identifiers

PMID39171080
PMCPMC11334652

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.