Evidence map›Paper›PMID 31764831›Full record

ArticleMedicine2019

Efficacy of sacubitril valsartan sodium tablet for the treatment of chronic heart failure: A systematic review protocol of randomized controlled trials.

Zhe Liu, Jing Wang, Yi Li

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Zhe LiuDepartment of Cardiology, Yanan University Affiliated Hospital.
Jing WangDepartment of Endocrine and Metabolism, Yanan University Affiliated Hospital.
Yi LiDepartment of Geriatrics, Yan'an People's Hospital, Yan'an, China.
Yanan University Affiliated Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aims to systematically explore the efficacy of sacubitril valsartan sodium tablet (SVST) for the treatment of chronic heart failure (CHF).

methodsNine electronic databases, including PUBMED, Cochrane Library, EMBASE, PsycINFO, Web of Science, Allied and Complementary Medicine Database, WANGFANG, Chinese Biomedical Literature Database, and China National Knowledge Infrastructure will be searched. Randomized controlled trials on SVST in the treatment of CHF will be collected. The search time limit will be from the establishment of each electronic database until June 1, 2019. Two authors will independently select the literature, carry out the data, and assess the methodological quality.

resultsThis study will systematically investigate the efficacy and safety of SVST for CHF. The outcomes consist of all-cause mortality, change in body weight, urine output, change in serum sodium; and incidence of any expected and unexpected adverse events.

conclusionThe findings of this study will summarize from evidence-based medicine and a scientific basis for the efficacy and safety of SVST in the clinical treatment of CHF. PROSPERO REGISTRATION NUMBER: PROSPERO CRD42019138882.

Indexed as

Randomized Controlled Trials as TopicSystematic Reviews as TopicAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundsChronic DiseaseDrug CombinationsHeart FailureHumansResearch DesignTabletsTetrazolesTreatment OutcomeValsartanAminobutyratesAngiotensin Receptor AntagonistsBiphenyl CompoundsDrug Combinationssacubitril and valsartan sodium hydrate drug combinationTabletsTetrazolesValsartan

Identifiers

PMID31764831
PMCPMC6882600
OpenAlexW2989828021

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.