Evidence map›Paper›PMID 35966752›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

The Application of the GP Model to Manage Controllable Risk Factors in Stroke Patients with Diabetes Can Effectively Improve the Prognosis and Reduce the Recurrence Rate.

Zhehua Zou, Kai Liu, Yunjing Li, Shuangyan Yi, Xiaotang Wang, Changying Yu, Haiying Zhu

RetractedOpen access · hybridAbstract readRetracted Publication
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 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 It has been retracted, and should not be counted.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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 49% 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, 1 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Zhehua ZouDepartment of General Practice, The First Hospital of Qinhuangdao, Hebei 066000, China.ORCID https://orcid.org/0000-0001-8882-2911
Kai LiuDepartment of Neurology, Qinhuangdao Haigang Hospital, Hebei 066000, China.
Yunjing LiDepartment of General Practice, The First Hospital of Qinhuangdao, Hebei 066000, China.
Shuangyan YiDepartment of General Practice, The First Hospital of Qinhuangdao, Hebei 066000, China.
Xiaotang WangDepartment of Otorhinolaryngology Head and Neck Surgery, The First Hospital of Qinhuangdao, Hebei 066000, China.
Changying YuDepartment of General Practice, The First Hospital of Qinhuangdao, Hebei 066000, China.
Haiying ZhuDepartment of General Practice, The First Hospital of Qinhuangdao, Hebei 066000, China.
First Hospital of Qinhuangdao · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The aim of this study is to examine the impacts of general practice model (GP) on prognosis and recurrence of stroke patients with diabetes. Methods: Ninety patients with stroke combined with diabetes mellitus admitted to our hospital from June 2019 to June 2020 were selected for the study and were randomly and equally divided into 45 cases each in the control and experimental groups for the prospective trial. The patients in the control group received routine treatment while those in the experimental group were treated with GP model. Comparison in treatment effects, patients satisfaction, psychological status, quality of life, glycosylated hemoglobin level, and stroke recurrence was carried out between the two groups. Results: The experimental group showed markedly better treatment effects ( Conclusion: The application of the GP model to manage controllable risk factors in stroke patients with diabetes can effectively improve the prognosis and reduce the recurrence rate, which is worthy of clinical application and promotion.

Identifiers

PMID35966752
PMCPMC9374552
OpenAlexW4289932434

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.