Evidence map›Paper›PMID 34106644›Full record

ArticleMedicine2021

Physical activity and risk of sudden cardiac death in individuals at high risk for cardiovascular disease: A protocol for systematic review and meta-analysis.

Qinqin Wu, Fanghui Li, Yu Jia, Yi Liu, Rui Zeng

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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.

Qinqin WuHealth Management Center.
Fanghui LiDepartment of Cardiology.
Yu JiaDepartment of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yi LiuDepartment of Emergency Medicine, West China Hospital, Sichuan University, Chengdu, China.
Rui ZengDepartment of Cardiology.
Sichuan University · CN

Funding

1•3•5 Project for Disciplines of Excellence-Clinical Research Incubation Project, Sichuan University West China Hospital No. 2018HXFH001Sichuan Science and Technology Program No. 2017RZ0046
6 · The paper itself

Abstract

backgroundRegular physical exercise is recommended for lowering the risk of coronary events and all-cause mortality. However, there is a variety of exercise options, and their relative effectiveness and hierarchy remain unclear. Herein, we present a systematic review and meta-analysis protocol that aims to compare the impact of different types of physical activity on the risk of sudden cardiac death. METHODS AND ANALYSIS: English language articles reporting on randomized controlled trials will be searched in MEDLINE, Cochrane Library, CINAHL, and PubMed databases by two reviewers. A snowball approach will be used for literature retrieval. Reviewers will independently screen the literature, extract data, evaluate study quality and risk of bias, and perform a meta-analysis. In the presence of heterogeneity, a random effects model will be used for meta-analysis; otherwise, a fixed effect model will be used. ETHICS AND DISSEMINATION: This study is a secondary analysis and does not require ethical review. The results of this study will be disseminated through peer-reviewed publications, journals, and academic conferences and other forms of exchange. SYSTEMATIC REVIEW REGISTRATION NUMBER: INPLASY202140033.

Indexed as

ExerciseAge FactorsBody Weights and MeasuresCardiovascular DiseasesComorbidityDeath, Sudden, CardiacHumansMeta-Analysis as TopicRacial GroupsRandomized Controlled Trials as TopicResearch DesignSystematic Reviews as TopicTime Factors

Identifiers

PMID34106644
PMCPMC8133227
OpenAlexW3160788127

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.