Evidence map›Paper›PMID 38617986›Full record

ArticleWorld journal of psychiatry2024

Optimization of nursing interventions for postoperative mental status recovery in patients with cerebral hemorrhage.

Jin-Li Tang, Wei-Wei Yang, Xiao-Yang Yang

Open access · diamondAbstract read
In one paragraph

Article in World journal of psychiatry, 2024. 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
0.4field-weighted citation impact, top 42% 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, 1 citations in OpenAlex.

  1. 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

3 authors at 2 institutions in 1 country.

Jin-Li TangNeurosurgery Ward 2, Affiliated hospital of Nantong University, Nantong 226100, Jiangsu Province, China.
Wei-Wei YangDepartment of Anesthesiology and Surgery, The Affiliated Hospital of Nantong University, Nantong 226100, Jiangsu Province, China. 13585229517@163.com.
Xiao-Yang YangDepartment of Neurosurgery, Suzhou Kowloon Hospital, School of Medicine, Shanghai Jiao Tong University, Suzhou 215000, Jiangsu Province, China.
Nantong University · CNSuzhou Kowloon Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHypertensive cerebral hemorrhage (HCH), the most common chronic diseases, has become a topic of global public health discussions.

aimTo investigate the role of rehabilitative nursing interventions in optimizing the postoperative mental status recovery phase and to provide clinical value for future rehabilitation of patients with HCH.

methodsThis randomized controlled study included 120 patients with cerebral HCH who were contained to our neurosurgery department between May 2021-May 2023 as the participants. The participants have randomly sampled and grouped into the observation and control groups. The observation group received the rehabilitation nursing model, whereas the control group have given conventional nursing. The conscious state of the patients was assessed at 7, 14, 21, and 30 d postoperatively. After one month of care, sleep quality, anxiety, and depression were compared between the two groups. Patient and family satisfaction were assessed using a nursing care model.

resultsThe results showed that the state of consciousness scores of the patients in both groups significantly increased (

conclusionThe rehabilitation nursing model has a more complete system compared to conventional nursing, which can effectively improve the postoperative quality of life of patients with cerebral hemorrhage and improve the efficiency of mental state recovery; however, further analysis and research are needed to provide more scientific evidence.

Indexed as

Cerebral hemorrhageMental statusNursing interventionsOptimizationQuality of lifeRehabilitation nursing model

Identifiers

PMID38617986
PMCPMC11008385
OpenAlexW4392964408

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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.