Evidence map›Paper›PMID 35035842›Full record

Trial reportJournal of healthcare engineering2022

Application Effect of the Standard Operating Procedure in the Prevention of Venous Thromboembolism.

Hongxia Zhang, Zonghong Zhu, Xiaoyan Wang, Xiaofeng Wang, Limin Fan, Ranran Wu, Chenjing Sun

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of healthcare engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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

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

7 authors.

Hongxia ZhangDepartment of Neurology, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China.
Zonghong ZhuDepartment of Emergency, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China.
Xiaoyan WangDepartment of Neurology, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China.
Xiaofeng WangDepartment of Rehabilitation Medicine, The Southern Medical Branch of PLA General Hospital, Beijing 100071, China.
Limin FanDepartment of Neurology, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China.
Ranran WuDepartment of Emergency, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China.
Chenjing SunDepartment of Neurology, The Sixth Medical Center of PLA General Hospital, Beijing 100048, China.ORCID 0000-0002-6162-383X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the application effect of the standard operating procedure (SOP) in the prevention of venous thromboembolism (VTE).

methodsThe clinical data of patients admitted to respiratory, cardiovascular, neurological, and geriatric departments in the hospital (November 2020-May 2021) were retrospectively analyzed, and the patients in line with the inclusion criteria were equally randomized into the observation group (OG) and the control group (CG). The CG was treated with the routine nursing, and the OG received the SOP of VTE prevention additionally. After the record of the incidence of VTE and nursing satisfaction of the two groups, scores of VTE awareness were compared.

resultsOne hundred and twenty patients were included in this study, and no obvious difference was found in the general data of patients (

conclusionSOP can reduce the incidence of VTE of patients, improve their disease awareness, and enhance their nursing satisfaction, which should be popularized in practice.

Indexed as

Venous ThromboembolismAgedHospitalizationHumansIncidenceRetrospective Studies

Identifiers

PMID35035842
PMCPMC8759904

What OpenQuestion holds

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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.