Evidence map›Paper›PMID 35572836›Full record

ArticleComputational and mathematical methods in medicine2022

Perioperative Nursing Management of Patients Undergoing Laparoscopic Ovarian Cystectomy Guided by Ultrasound Imaging under Intelligent Algorithm.

Shuanghong Lin, Yi Zhao, Dan Lei, Qiongfang Mei, Honggui Fang, Li Wang

Open access · hybridAbstract read
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. 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 59% 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, 2 citations in OpenAlex.

  1. Tumor Markers in Differential Diagnosis of Benign Ovarian Masses.International journal of women's health · 2024
    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

6 authors at 1 institution in 1 country.

Shuanghong LinDepartment of Nursing, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, 430033 Hubei, China.ORCID https://orcid.org/0000-0002-3667-9196
Yi ZhaoDepartment of Nursing, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, 430033 Hubei, China.ORCID https://orcid.org/0000-0002-2558-5469
Dan LeiDepartment of Nursing, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, 430033 Hubei, China.ORCID https://orcid.org/0000-0002-5197-1558
Qiongfang MeiDepartment of Obstetrics and Gynecology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, 430033 Hubei, China.ORCID https://orcid.org/0000-0003-4304-2350
Honggui FangDepartment of Obstetrics and Gynecology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, 430033 Hubei, China.ORCID https://orcid.org/0000-0002-8652-6032
Li WangDepartment of Obstetrics and Gynecology, Hubei No. 3 People's Hospital of Jianghan University, Wuhan, 430033 Hubei, China.ORCID https://orcid.org/0000-0002-6867-7232
Jianghan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was aimed at exploring the application value of ultrasonic imaging-guided laparoscopic ovarian cystectomy after denoising by intelligent algorithms in perioperative nursing intervention of patients. In this study, convolutional downsampling was introduced to the UNet model, based on which the residual structure and Recon module were added to improve the UNet denoising model, which was applied to 100 patients who underwent ultrasound imaging-guided laparoscopic ovarian cystectomy. The patients were grouped into a control group receiving conventional nursing and an experimental group receiving perioperative nursing management. The various experimental indicators were comprehensively evaluated. The results revealed that after denoising using the improved UNet model, the ultrasound image showed no unnecessary interference noise, and the image clarity was significantly improved. In the experimental group, the operation time was 55.45 ± 6.13 days, the intraoperative blood loss was 71.52 ± 9.87 days, the postoperative exhaust time was 1.9 ± 0.73 days, the time to get out of bed was 1.2 ± 0.85 days, the complication rate was 8%, the hospitalization time was 7.3 ± 2.6 days, and the nursing satisfaction rate reached 98%. All above aspects were significantly better than those of the control group, and the differences were statistically significant (

Indexed as

CystectomyLaparoscopyAlgorithmsHumansPerioperative NursingUltrasonography

Identifiers

PMID35572836
PMCPMC9095400
OpenAlexW4229078519

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.