Evidence map›Paper›PMID 35399839›Full record

Trial reportJournal of healthcare engineering2022

Quality Care Alleviates Behavioral Cognitive Impairment and Reduces Complications in Elderly Patients with Cardiovascular and Cerebrovascular Diseases.

Xiaomei Li, Fangning Wang, Rongfen Li, Hongyan Tian

RetractedOpen access · hybridAbstract readRandomized Controlled TrialRetracted Publication
In one paragraph

Trial report in Journal of healthcare engineering, 2022. 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 It has been retracted, and should not be counted.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
0.2field-weighted citation impact, top 53% 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. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Xiaomei LiRecord Room, Dongying People's Hospital, Dongying, Shandong, China.
Fangning WangDepartment of Gynecology, Dongying People's Hospital, Dongying, Shandong, China.
Rongfen LiDepartment of Urology, Dongying People's Hospital, Dongying, Shandong, China.
Hongyan TianDepartment of Orthopaedics, Dongying People's Hospital, Dongying, Shandong, China.ORCID 0000-0002-7020-7774
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Cardiovascular and cerebrovascular disease (CCVD) remains the most common factor of death around the world. Nursing care plays a key role in the recovery of patients with CCVD. This study was to explore the application of quality care in aged patients with CCVD. Methods: Totally, 74 aged CCVD patients admitted from June 2018 to June 2019 in Dongying People's Hospital were randomly assigned in 2 groups with the same treatment. The control group was treated with routine care intervention, and the observation group was treated with quality care intervention for 12 weeks. Meanwhile, the frequency of agitation behaviors and cognitive ability were assessed, and complication was counted. Results: The observation group showed decreased Cohen-Mansfield Agitation Inventory (CAMI) scores from 47.31 ± 8.27 to 38.73 ± 6.94, raised Mini-Mental State Examination (MMSE) scores from 15.01 ± 3.9 to 19.34 ± 3.15 and Montreal Cognitive Assessment (MoCA) scores from 16.92 ± 5.48 to 20.37 ± 4.16, and reduced complications after quality care intervention. Conclusion: Quality care intervention exerted a better application effect on aged CCVD patients, along with reduction of agitation, improvement of mental condition and behavioral cognitive function, and reduced complications.

Indexed as

Cardiovascular DiseasesCerebrovascular DisordersCognitive DysfunctionAgedCognitionHumansMental Status and Dementia Tests

Identifiers

PMID35399839
PMCPMC8986416
OpenAlexW4220968993

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.