Evidence map›Paper›PMID 38291355›Full record

SynthesisBMC cardiovascular disorders2024

The effect of exercise training intervention for patients with abdominal aortic aneurysm on cardiovascular and cardiorespiratory variables: an updated meta-analysis of randomized controlled trials.

Qi Han, Li Qiao, Li Yin, Xuemei Sui, Wenjuan Shao, Qirong Wang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC cardiovascular disorders, 2024. 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
1.3field-weighted citation impact, top 22% 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, 3 citations in OpenAlex.

  1. Review
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

6 authors at 3 institutions in 2 countries.

Qi Han *Sports Nutrition Center, National Institute of Sports Medicine, Beijing, 100029, China.
Li Qiao *Beijing Competitor Sports Nutrition Research Institute, Beijing, 100029, China.
Li Yin *Department of Vascular Surgery, The Second Affiliated Hospital of Zhejiang University, School of Medicine, Hangzhou, 310020, China.
Xuemei SuiDepartment of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC, 29208, USA.
Wenjuan ShaoBeijing Sport University, Beijing, 100084, China.
Qirong WangSports Nutrition Center, National Institute of Sports Medicine, Beijing, 100029, China. qirongw@163.com.
Beijing Sport University · CNSecond Affiliated Hospital of Zhejiang University · CNUniversity of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe purpose of this meta-analysis was to evaluate the effect of exercise training intervention in patients with abdominal aortic aneurysm (AAA).

methodsEight randomized controlled trials (RCTs) that recruited 588 AAA patients were extracted using 4 databases (PubMed, Embase, Wanfang Data, and Cochrane Library). Physiological and biochemistry parameters that included in this study are high-sensitivity C-reactive protein (hs-CRP), respiratory peak oxygen uptake rate (VO

resultsThis meta-analysis was synthesized with findings from RCTs and found that hs-CRP (SMD, - 0.56 mg/dL; 95% CI: - 0.90 to 0.22; P = 0.001), VO

conclusionExercise intervention improved some of the CVD risk factors but not all, hs-CRP, VO

Indexed as

Aortic Aneurysm, AbdominalMatrix Metalloproteinase 9C-Reactive ProteinExerciseHumansRandomized Controlled Trials as TopicTriglyceridesC-Reactive ProteinMatrix Metalloproteinase 9TriglyceridesAAACVDExerciseRupture risks

Identifiers

PMID38291355
PMCPMC10829311
OpenAlexW4391400818

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.