Evidence map›Paper›PMID 34540069›Full record

ArticleAmerican journal of translational research2021

Application effects of evidence-based nursing in pain nursing of advanced lung cancer.

Yuxia Shen, Ying Zhou, Juanjuan Hou, Jie Hu

Open access · greenAbstract read
In one paragraph

Article in American journal of translational research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 23% 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, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Application Value of Evidence-Based Care in Patients with Lung Cancer Chemotherapy.Computational and mathematical methods in medicine · 2022
    Article
  5. Article
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

4 authors at 2 institutions in 1 country.

Yuxia ShenCT Room, Handan Central Hospital Handan, Hebei Province, China.
Ying ZhouCT Room, Handan Central Hospital Handan, Hebei Province, China.
Juanjuan HouCT Room, Handan Central Hospital Handan, Hebei Province, China.
Jie HuCancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Wuhan, Hubei Province, China.
Handan College · CNWuhan Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis research was designed to explore the application evaluation of evidence-based nursing (EBN) in pain nursing of patients with advanced lung cancer (LC).

methodsA total of 108 advanced LC patients admitted to our hospital were randomized into a control group and an observation group, each with 54 patients. Those in the control group were given conventional nursing measures and those in the observation group were treated by EBN measures based on the former. The scores of pain levels, sleep quality, and negative emotions (anxiety and depression), quality of life, and nursing satisfaction of the two groups were compared.

resultsCompared with the control group, the sleep quality score, quality of life, and nursing satisfaction of patients in the observation group were higher. The scores of pain levels and negative emotions (anxiety and depression) were lower, with statistically marked differences (all P<0.05).

conclusionEBN has good clinical practicability in the pain of advanced LC, improving patients' sleep, quality of life after treatment, and nursing satisfaction. It can be recommended in clinical practice.

Indexed as

evidence-based nursingnursing satisfactionpainPatients with advanced lung cancerquality of life

Identifiers

PMID34540069
PMCPMC8430086
OpenAlexW3200681702

What OpenQuestion holds

Textmetadata
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.