Evidence map›Paper›PMID 34970347›Full record

ReviewExperimental and therapeutic medicine2022

Nursing procedures for advanced dementia: Traditional techniques versus autonomous robotic applications (Review).

Liliana David, Stefan L Popa, Maria Barsan, Lucian Muresan, Abdulrahman Ismaiel, Luminita C Popa, Lacramioara Perju-Dumbrava, Mihaela Fadgyas Stanculete, Dan L Dumitrascu

Open access · diamondAbstract readReview
In one paragraph

Review in Experimental and therapeutic medicine, 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
1.2field-weighted citation impact, top 17% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 2 countries.

Liliana DavidSecond Medical Department, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400000, Romania.
Stefan L PopaSecond Medical Department, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400000, Romania.
Maria BarsanDepartment of Occupational Health, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400000, Romania.
Lucian MuresanDepartment of Cardiology, 'Emile Muller' Hospital, Mulhouse, 68200 Mulhouse, France.
Abdulrahman IsmaielSecond Medical Department, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400000, Romania.
Luminita C PopaDepartment of Neurosciences, Discipline of Neurology, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania.
Lacramioara Perju-DumbravaDepartment of Neurosciences, Discipline of Neurology, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania.
Mihaela Fadgyas StanculeteDepartment of Neurosciences, Discipline of Psychiatry and Pediatric Psychiatry, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400012, Romania.
Dan L DumitrascuSecond Medical Department, 'Iuliu Hatieganu' University of Medicine and Pharmacy, Cluj-Napoca 400000, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROCentre Hospitalier de Mulhouse · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The purpose of this study was to perform a comparative analysis of traditional nursing techniques and autonomous robotic applications used for managing patients with advanced stages of dementia. PubMed, Cochrane Library, EMBASE, and WILEY databases were searched for relevant articles concerning nursing techniques applied in the treatment of patients with advanced dementia. The search terms included: (advanced dementia OR severe dementia) AND [artificial intelligence (AI) OR robotic OR robots OR neural networks OR deep learning OR automated procedures OR autonomous application]. This search identified a total of 2,679 articles and 298 articles were selected. Finally, 23 articles were included in this systematic review, out of which 8 studies analyzed traditional nursing techniques and 15 studies analyzed autonomous robotic applications. Significant evidence was revealed, demonstrating that autonomous robotic applications used for patients with advanced stages of dementia are a feasible, cost-efficient solution and represent an excellent benefit for patients and the healthcare system.

Indexed as

advanced dementiaartificial intelligencefuture of medicinenursingnursing proceduresrobots

Identifiers

PMID34970347
PMCPMC8713171
OpenAlexW4200150262

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.