Evidence map›Paper›PMID 35419116›Full record

Trial reportDisease markers2022

The Efficacy of Double-Heart Nursing in Combination with Seaweed Polysaccharide for Patients with Coronary Heart Disease Complicated with Diabetes: A Pilot, Randomized Clinical Trial.

Yulei Hu, Yan Wang, Fengwei An, Nini Dai

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Journal of traditional and complementary medicine · 2025
    Article
  3. 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 at 3 institutions in 1 country.

Yulei HuDepartment of Cardiology, Jiaozhou Central Hospital of Qingdao, Jiaozhou, China.
Yan WangDepartment of Rheumatology, The Fifth People's Hospital of Qingdao, Qingdao, China.
Fengwei AnOutpatient Department, The Fifth People's Hospital of Qingdao, Qingdao, China.
Nini DaiDepartment of Pediatrics, Qingdao Hospital of Traditional Chinese Medicine (Qingdao Hiser Hospital), Qingdao, China.ORCID https://orcid.org/0000-0003-0014-0639
Qingdao Eighth People's Hospital · CNQingdao University · CNShuozhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To study and explore the effect of double-heart nursing combined with seaweed polysaccharide on improving the self-efficacy and quality of life of patients with coronary heart disease and diabetes. Methods: Eligible 214 patients with coronary heart disease and diabetes who were diagnosed and treated in our hospital between year 2017 and 2020 were randomized at a ratio of 1 : 1 to either control group (seaweed polysaccharide) or observation group (double-heart nursing combined with seaweed polysaccharide). The self-efficacy and quality of life of the two groups of patients after treatment were compared. Results: The observation group reported a lower blood glucose level after treatment vs. the control group [(6.28 ± 4.49/8.24 ± 2.01) vs. (7.74 ± 4.18/11.41 ± 3.12)] ( Conclusion: Seaweed polysaccharide and double-heart nursing might be practical in improving the self-efficacy and quality of life of patients with coronary heart disease and diabetes mellitus, compared with conventional clinical treatment alone.

Indexed as

Coronary DiseaseDiabetes MellitusSeaweedHumansPolysaccharidesQuality of LifePolysaccharides

Identifiers

PMID35419116
PMCPMC9001089
OpenAlexW4226036191

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.