Evidence map›Paper›PMID 36035286›Full record

ArticleComputational and mathematical methods in medicine2022

Construction of Pulmonary Embolism Prediction, Early Warning, and Precontrol MDT Collaborative Nursing Model Based on the Smith Model.

Qian Lv, Yue Liu, Na Zhang, Haini Qi, Xiang Li, Rui Zhang, Bing Sun, Yifang Zhu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational and mathematical methods in medicine, 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 It has been retracted, and should not be counted.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
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Qian LvDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Yue LiuDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Na ZhangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Haini QiDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Xiang LiDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Rui ZhangDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Bing SunDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.
Yifang ZhuDepartment of Thoracic Surgery, Tangdu Hospital, Air Force Military Medical University, Xi'an, Shaanxi 710038, China.ORCID https://orcid.org/0000-0002-0610-0745

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to construct a multidisciplinary collaborative nursing model for pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model and evaluate the application effect and hospitalization satisfaction. 2,037 patients hospitalized in the thoracic surgery department from June 1, 2019, to May 31, 2021, were selected as the research subjects. The control group received routine pulmonary embolism prevention management, while the experimental group received safe, case-based, and programmatic multidisciplinary intervention management based on the Smith policy management model. The data were analyzed statistically. The experimental group's extubation and hospitalization time, D-dimer value, incidence of deep vein thrombosis, and pulmonary embolism on the seventh day after surgery were lower than those in the control group, and the satisfaction of hospitalization in the experimental group was higher than that in the control group. The implementation of the multidisciplinary collaborative nursing model of pulmonary embolism risk prediction, early warning, and precontrol based on the Smith model can promote the preventive effect of pulmonary embolism risk of surgical patients in our department and effectively improve the satisfaction of hospitalization, which is worthy for further promotion.

Indexed as

Pulmonary EmbolismHospitalizationHumansModels, Nursing

Identifiers

PMID36035286
PMCPMC9410933

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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.