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Record W4388135337 · doi:10.59958/hsf.6439

Meta-Analysis of the Efficacy of Levosimendan in the Treatment of Severe Sepsis Complicated with Septic Cardiomyopathy

2023· review· en· W4388135337 on OpenAlexaboutno aff
Qiongchan Guan, Chuang Zhang, Binbin Li, Daochao Huang, Aiming Li, Jie Qin, Xianhuan Zhang

Bibliographic record

VenueThe Heart Surgery Forum · 2023
Typereview
Languageen
FieldMedicine
TopicSepsis Diagnosis and Treatment
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineLevosimendanDobutamineInternal medicineSeptic shockSepsisInotropeEjection fractionRandomized controlled trialCochrane LibraryHeart failureCardiologyCardiomyopathyOrgan dysfunctionHemodynamics

Abstract

fetched live from OpenAlex

INTRODUCTION: Sepsis is a medical condition characterized by acute organ dysfunction and uncontrolled inflammation. Organ dysfunction in sepsis is the primary cause of mortality in patients with myocardial dysfunction. Levosimendan is a vasodilating and inotropic agent used in patients with acute heart failure and has resulted in decreased morbidity and mortality in these patients. Our main objective is to examine levosimendan's efficacy in treating severe sepsis complicated with septic cardiomyopathy. METHODS: We systematically searched five databases, PubMed, Web of Science, Embase, Cochrane Library and BioMed Central, for articles and publications from their inception to 2023. Our study adopted the PICOS approach in identifying suitable publications during the systematic search. Inclusion criteria included randomized, controlled trials utilizing levosimendan in adult patients diagnosed with septic shock or severe sepsis. We excluded non-English publications and non-randomized controlled trials. The Newcastle-Ottawa scale (NOS) scale was used to assess the methodological quality, while the risk of bias was assessed through the Cochrane Risk of bias tool. All statistical analyses were performed using RevMan version 5.4. RESULTS: Eight studies met the eligibility criteria and were included in the analysis. There was a statistically significant positive effect on cardiac input in patients treated with levosimendan compared to those treated with dobutamine (p < 0.001). Similarly, there were positive effects on left ventricular ejection fraction (LVEF) (p < 0.001) and left ventricular stroke work index (LVSWI) (p < 0.001). We observed a significant reduction in mortality (p < 0.01) and serum levels of lactic acid (p < 0.01). DISCUSSION: Levosimendan is a calcium sensitizer associated with an influx of calcium ions and activation of ATP-dependent potassium channels that increases myocardial contractility contractions, enhances vasodilation and improves oxygen supply to the cells and tissues. CONCLUSION: Levosimendan is highly efficacious and safe in the management of sepsis and sepsis-induced cardiomyopathy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.023
Threshold uncertainty score0.091

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.035
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0230.051
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.001
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.377
GPT teacher head0.405
Teacher spread0.028 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2023
Admission routes1
Has abstractyes

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