Evidence map›Paper›PMID 38737103›Full record

ArticleOpen life sciences2024

Clinical diagnosis, prevention, and treatment of neurodyspepsia syndrome using intelligent medicine.

Jingyu Zhu, Wei Meng, Liang Liu, Peixin Hu, Yuling Liang, Wenwen Zhu, Xiaoyan Zhu

Abstract read
In one paragraph

Article in Open life sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jingyu ZhuDepartment of Gastrointestinal Endoscopy, Central Hospital Affiliated to Shandong First Medical University, Shandong, China.
Wei MengDepartment of Gastrointestinal Endoscopy, Central Hospital Affiliated to Shandong First Medical University, Shandong, China.
Liang LiuDepartment of Gastrointestinal Endoscopy, Central Hospital Affiliated to Shandong First Medical University, Shandong, China.
Peixin HuDepartment of Gastrointestinal Endoscopy, Central Hospital Affiliated to Shandong First Medical University, Shandong, China.
Yuling LiangDepartment of Gastrointestinal Endoscopy, Central Hospital Affiliated to Shandong First Medical University, Shandong, China.
Wenwen ZhuDepartment of Gastrointestinal Endoscopy, Central Hospital Affiliated to Shandong First Medical University, Shandong, China.
Xiaoyan ZhuDepartment of Gastrointestinal Endoscopy, Central Hospital Affiliated to Shandong First Medical University, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Against the backdrop of rapid social economy and scientific and technological development, intelligent medical technology expanded based on the Internet plays a crucial role in the innovation and development of the modern medical industry. Intelligent medical technology has completely changed the fixed medical methods of the past, and it can solve the isolated defects between various unit systems, greatly improving the overall informatization level of hospitals. This article analyzed the clinical diagnosis, prevention, and treatment of neurodyspepsia syndrome (NDS) in intelligent medicine. Dyspepsia can cause palpitations, vomiting, abdominal distension, dizziness, and other symptoms so that it can cause discomfort and pain in the middle or around the epigastric region. Therefore, it is necessary to make a correct diagnosis of neurodyspepsia in order to reduce the discomfort of patients. Intelligent medical technology is of great significance in improving patients' symptoms. This study sets up a control group and an experimental group for the experiment. The control group used conventional medication technology, while the experimental group used intelligent medical technology to analyze the patient samples taken. By comparing the factors that affect patients with NDS, it was found that the physical function score of the experimental group was 6.3% lower than that of the control group. Intelligent medical technology has high diagnostic efficiency and can achieve rapid diagnosis of NDS, meeting the clinical diagnosis and prevention requirements of NDS.

Indexed as

clinical diagnosisintelligent medical treatmentinternet of things technologyneurodyspepsia syndrome

Identifiers

PMID38737103
PMCPMC11087737

What Socratic 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 Socratic graph.