Evidence map›Paper›PMID 35444777›Full record

ArticleJournal of healthcare engineering2022

The Significance of Three-Dimensional Team Management in the Medical Community Model for Patients with Hypertension and Diabetes.

Xiaoli Lu, Hualiang Tang, Tan Xu, Xuehui Song, Fei Jiang, Xie Zheng, Yang Li

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of healthcare engineering, 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 It has been retracted, and should not be counted.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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Xiaoli LuDepartment of Cardiology, Anji People's Hospital, Anji 313300, China.
Hualiang TangDepartment of Cardiology, the First Affiliated Hospital of Baotou Medical College, I, nner Mongolia University of Science and Technology, Baotou 014010, China.
Tan XuDepartment of Cardiology, Anji People's Hospital, Anji 313300, China.
Xuehui SongChild Health Section, Anji Changshuo Street Health Center, Anji 313300, China.
Fei JiangDepartment of Endocrinology,People's Hospital, Anji 313300, China.
Xie ZhengDepartment of Endocrinology,People's Hospital, Anji 313300, China.
Yang LiDepartment of Cardiology, the First Affiliated Hospital of Baotou Medical College, I, nner Mongolia University of Science and Technology, Baotou 014010, China.ORCID 0000-0001-5088-7015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes and hypertension are the most common diseases and often coexist. Currently, hypertension is the most widespread chronic disease in China. To explore the value of three-dimensional team management in improving the effect of the management of primary diabetes and hypertension in patients in the medical community model, the expert team at the Department of Cardiology and Endocrinology of Anji County People's Hospital is selected to train 59 community general practitioners in the medical community model (the study group adopts the three-dimensional team management model in the medical community model), and another 59 community medical general practitioners adopts the conventional training method (the control group). The two groups of doctors managed patients with diabetes and hypertension who are registered in the jurisdiction (200 patients per group) as per the respective training methods. The three-dimensional management of the team under the medical community model significantly improves the diagnostic and treatment capabilities of grassroot general practitioners to better control patients' diabetes and hypertension levels.

Indexed as

CardiologyDiabetes MellitusEndocrinologyHypertensionPhysiciansHumans

Identifiers

PMID35444777
PMCPMC9015871

What OpenQuestion holds

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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.