Evidence map›Paper›PMID 35035857›Full record

SynthesisJournal of healthcare engineering2022

Effects and Safety of Sacubitril/Valsartan for Patients with Myocardial Infarction: A Systematic Review and Meta-Analysis.

Lang Liu, Xiaofang Ding, Yaxiang Han, Jianfeng Lv

RetractedOpen access · hybridAbstract readMeta-AnalysisSystematic ReviewRetracted Publication
In one paragraph

Synthesis in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Lang LiuGeneral Hospital of Ningxia Medical University, Yinchuan City 750000, China.
Xiaofang DingGeneral Hospital of Ningxia Medical University, Yinchuan City 750000, China.
Yaxiang HanGeneral Hospital of Ningxia Medical University, Yinchuan City 750000, China.
Jianfeng LvAffiliated RenHe Hospital of China, Three Gorges University Second Clinical Medical College of China Three Gorges University, Yichang City 443000, China.ORCID 0000-0001-6878-7901
Ningxia Medical University · CNChina Three Gorges University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients who develop heart failure (HF) after an acute myocardial infarction (AMI) are at higher risk of adverse fatal and nonfatal outcomes. Studies have shown sacubitril/valsartan can further reduce the risk of cardiovascular death or hospitalization for heart failure by 20% compared with enalapril. At the same time, its tolerance and safety are better. However, the current evidence regarding the efficacy of sacubitril/valsartan in patients with heart failure after acute myocardial infarction is controversial. To assess the effect of sacubitril/valsartan on heart failure after acute myocardial infarction, we conducted a systematic review of the literature and a meta-analysis of existing randomized clinical trials. Meta-analysis of randomized controlled trails is used where data are collected from PubMed, the Cochrane library, Embase, and Web of Science. Data about sacubitril/valsartan were available from 5 studies. Forest plots showed that the sacubitril/valsartan group had a 299% higher value of sacubitril/valsartan to the control group (MD = 2.99%, 95% CI: 2.01, 3.96,

Indexed as

Heart FailureMyocardial InfarctionAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundsHumansStroke VolumeValsartanVentricular Function, LeftAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundssacubitrilValsartan

Identifiers

PMID35035857
PMCPMC8754592
OpenAlexW4205112204

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.