Evidence map›Paper›PMID 34887707›Full record

ArticleContrast media & molecular imaging2021

Effect of Intelligent Vital Sign Monitoring System on Postoperative Nursing Care of Severe Patients.

Yanhong Zhang, Lifen Zhang, Wei Liu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Contrast media & molecular imaging, 2021. 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 It has been retracted, and should not be counted.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
–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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yanhong ZhangICU Unit 1, Harbin Medical University Cancer Hospital, Haerbin 150000, Heilongjiang, China.ORCID 0000-0003-2535-668X
Lifen ZhangPharmacy Intravenous Admixture Service Center, Harbin Medical University Cancer Hospital, Haerbin 150000, Heilongjiang, China.ORCID 0000-0002-1418-1282
Wei LiuPET/CT-MR Center, Harbin Medical University Cancer Hospital, Haerbin 150000, Heilongjiang, China.ORCID 0000-0003-1064-5534

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to study the observation of postoperative vital sign data of critically ill patients, this paper developed a set of vital sign data acquisition system based on intelligence and realized the design of vital sign data acquisition system APP based on Android Studio programming software, which was used to realize the information collection of vital sign data of patients. PDA is connected with a vital sign measuring equipment through Bluetooth. The patient's wristband is scanned with PDA to read the patient's information, and then the measured vital sign data are obtained automatically by measuring APP. The initial alarm value is set to be greater than 1%, and it needs more than 60 and less than or equal to 120 RR interval data to judge apnea. Information collection of intelligent vital sign detection can not only save the time of nursing staff but also improve the nursing quality.

Indexed as

IntelligenceVital SignsHumansMonitoring, Physiologic

Identifiers

PMID34887707
PMCPMC8616669

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.