Evidence map›Paper›PMID 36051927›Full record

ArticleContrast media & molecular imaging2022

Application of Nursing Intervention Plan Based on Symptom Management Theory among Breast Cancer Patients.

Qingqing Xu, Yu Chen, Xiaping Shen, Qunying Fang

Open access · hybridAbstract read
In one paragraph

Article 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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.

Qingqing XuDepartment of Thyroid and Breast Surgery, Zhejiang Xiaoshan Hospital, Zhejiang, Hangzhou 311201, China.ORCID 0000-0002-6659-971X
Yu ChenDepartment of Thyroid and Breast Surgery, Zhejiang Xiaoshan Hospital, Zhejiang, Hangzhou 311201, China.
Xiaping ShenDepartment of Thyroid and Breast Surgery, Zhejiang Xiaoshan Hospital, Zhejiang, Hangzhou 311201, China.
Qunying FangDepartment of Breast Surgery, Cancer Hospital of The University of Chinese Academy of Sciences, Zhejiang, Hangzhou 310022, China.
The First People's Hospital of Xiaoshan District, Hangzhou · CNUniversity of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to explore the application effect of nursing intervention based on symptom management theory in breast cancer patients, a total of 120 breast cancer patients who were hospitalized in the Thyroid and Breast Surgery Department of Zhejiang Xiaoshan Hospital from July 2018 to July 2021 were selected as the research subjects. Patients from the control group received routine nursing, while patients from the intervention group underwent nursing interventions based on symptom management theory. Before and after the intervention, symptom distress, Herth Hope Index, quality of life, self-rating anxiety scale (SAS), self-rating depression scale (SDS), visual analogue score (VAS), and Pittsburgh sleep quality index (PSQI) were evaluated in two groups. The results showed that the symptom severity score and the symptom distress score, SAS scores, SDS scores, VAS scores, and PSQI scores in the intervention group were significantly lower than those in the control group, while the Herth Hope Index scores and FACT-B scores in the intervention group were obviously higher than those in the control group (all

Indexed as

Breast NeoplasmsFemaleHumansQuality of Life

Identifiers

PMID36051927
PMCPMC9410828
OpenAlexW4292249672

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.