Evidence map›Paper›PMID 39817584›Full record

SynthesisClinical cardiology2025

A Meta-Analysis on the Efficacy of Noninvasive Positive Pressure Ventilation Combined With Pressure Support Ventilation in Treating Chronic Heart Failure.

Xiaohong Zhang, Ye Dong, Dongliang Diao, Ming Li

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical cardiology, 2025. 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
–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

2 citing papers in PubMed.

  1. Review
  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

4 authors.

Xiaohong ZhangGeneral Practice, Chengde Central Hospital, Chengde, China.
Ye DongGeneral Practice, Chengde Central Hospital, Chengde, China.
Dongliang DiaoResearch Office, Chengde Central Hospital, Chengde, China.
Ming LiGeneral Practice, Chengde Central Hospital, Chengde, China.ORCID http://orcid.org/0009-0001-5479-9175

Funding

This study was supported by Hebei Province Chengde City Science and Technology Research and Development Project No. 202002A077.
6 · The paper itself

Abstract

objectiveTo evaluate the clinical efficacy and safety of noninvasive positive pressure ventilation combined with pressure support ventilation (NPPV-PSV) in the treatment of chronic heart failure (CHF) through a meta-analysis.

methodsA systematic search was conducted using PubMed, Embase, Web of Science, Cochrane Library, CNKI and Wanfang databases to find randomized controlled trials and cohort studies on NPPV-PSV treatment for CHF. The period of search was set from inception until 2024. Eligible studies were included in a systematic review and meta-analysis.

resultsA total of 8 studies with 568 patients were included in this meta-analysis. The meta-analysis revealed that compared with conventional treatment, NPPV-PSV treatment had significant advantages in several aspects: clinical efficacy rate (total effect Z = 5.10, OR = 3.12, 95% confidence interval (CI) [2.01, 4.83], p = 0.000), heart rate (HR) (total effect Z = 16.26, MD = -10.50, 95% CI [-11.76, -9.23], p = 0.000), respiratory rate (RR) (total effect Z = 16.50, MD = -6.44, 95% CI [-7.20, -5.67], p = 0.000) and oxygen saturation (total effect Z = 12.40, MD = 0.09, 95% CI [0.08, 0.11], p = 0.000).

conclusionNoninvasive positive pressure ventilation combined with PSV treatment significantly improves clinical symptoms, reduces HR and RR and increases oxygen saturation in patients with CHF, showing superior effects compared with conventional treatment.

Indexed as

Heart FailureNoninvasive VentilationPositive-Pressure RespirationChronic DiseaseHumansTreatment Outcomechronic heart failureclinical efficacymeta‐analysisnoninvasive ventilationpressure support ventilation

Identifiers

PMID39817584
PMCPMC11736625

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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.