Evidence map›Paper›PMID 35399221›Full record

Trial reportContrast media & molecular imaging2022

Evaluation of Functional Magnetic Resonance Imaging under Artificial Intelligence Algorithm on Plan-Do-Check-Action Home Nursing for Patients with Diabetic Nephropathy.

Qianqian Du, Dianchao Liang, Lixin Zhang, Guoyan Chen, Xueyan Li

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Contrast media & molecular imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
1.5field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Review
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

5 authors at 1 institution in 1 country.

Qianqian DuDepartment of Endocrinology, the Second Hospital of Shijiazhuang, Shijiazhuang 050000, Hebei, China.ORCID 0000-0003-3556-882X
Dianchao LiangCommunity Health Service Centre of Zhentou, Shijiazhuang 050000, Hebei, China.ORCID 0000-0002-6055-6049
Lixin ZhangDepartment of Nursing, the Second Hospital of Shijiazhuang, Shijiazhuang 050000, Hebei, China.ORCID 0000-0001-7032-3030
Guoyan ChenDepartment of Nephrology, the Second Hospital of Shijiazhuang, Shijiazhuang 050000, Hebei, China.ORCID 0000-0002-7794-3408
Xueyan LiDepartment of Peripheral Vascular Surgery, the Second Hospital of Shijiazhuang, Shijiazhuang 050000, Hebei, China.ORCID 0000-0001-5441-8910
First Hospital of Shijiazhuang · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the effect of functional magnetic resonance imaging (fMRI) under the fuzzy C-means (FCM) clustering algorithm on plan-do-check-action (PDCA) home nursing for patients with diabetic nephropathy (DN). As the characteristics of fMRI image data were combined, the FCM algorithm was improved and applied into the clustering processing of fMRI activation regions of patients. 64 patients with DN were chosen as the research objects and were divided into the research group with PDCA home nursing and the control group with routine home nursing. The patients were randomly divided into the research group (

Indexed as

Diabetes MellitusDiabetic NephropathiesAlgorithmsArtificial IntelligenceHome NursingHumansMagnetic Resonance ImagingQuality of Life

Identifiers

PMID35399221
PMCPMC8975661
OpenAlexW4220761207

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.