Evidence map›Paper›PMID 37383893›Full record

ArticleWorld journal of clinical cases2023

Impact of heart failure on outcomes in patients with sepsis: A systematic review and meta-analysis.

Ming-Yu Zhu, Xiao-Kai Tang, Yi Gao, Jing-Jing Xu, Yuan-Qi Gong

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 1 institution in 1 country.

Ming-Yu ZhuDepartment of the Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China.
Xiao-Kai TangDepartment of the Orthopaedic, The First Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China.
Yi GaoDepartment of the Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China.
Jing-Jing XuDepartment of the Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China.
Yuan-Qi GongDepartment of the Intensive Care Unit, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, Jiangxi Province, China. 760225787@qq.com.
Nanchang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart failure (HF) often affects the progress of sepsis patients, although its impact on outcomes is inconsistent and inconclusive.

aimTo conduct a systematic review and meta-analysis of the impact of HF on mortality in patients with sepsis.

methodsPubMed, Embase, Web of Science, and the Cochrane Library databases were searched to compare the outcomes of sepsis patients with HF. A random effect model was used to summarize the mortality data, and the odds ratio (OR) and 95% confidence interval (CI) were calculated as effect indicators.

resultsAmong 18001 records retrieved in the literature search, 35712 patients from 10 separate studies were included. The results showed that sepsis patients with HF were associated with increased total mortality (OR = 1.80, 95%CI: 1.34-2.43;

conclusionIn patients with sepsis, HF is often associated with adverse outcomes and mortality. Our results call for more high-quality research and strategies to improve outcomes for sepsis patients with HF.

Indexed as

Heart failureMeta-analysisPrognosisSepsisSeptic shock

Identifiers

PMID37383893
PMCPMC10294198
OpenAlexW4377981882

What OpenQuestion holds

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LicenceCC BY-NC
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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.