Evidence map›Paper›PMID 34719131›Full record

ArticleNursing open2022

Mobile web-based self-management program for breast cancer patients with chemotherapy-induced amenorrhoea: A quasi-experimental study.

Jin-Hee Park, Yong Sik Jung, Ji Young Kim, Sun Hyoung Bae

Abstract read
In one paragraph

Article in Nursing open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. 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.

Jin-Hee ParkCollege of Nursing, Research Institute of Nursing Science, Ajou University, Suwon, South Korea.
Yong Sik JungDepartment of Breast Surgery, School of Medicine, Ajou University, Suwon, South Korea.
Ji Young KimDepartment of Breast Surgery, School of Medicine, Ajou University, Suwon, South Korea.
Sun Hyoung BaeCollege of Nursing, Research Institute of Nursing Science, Ajou University, Suwon, South Korea.ORCID 0000-0002-4890-619X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study was to examine the effects of a mobile web-based self-management program on menopausal symptoms, self-efficacy and quality of life in breast cancer patients with chemotherapy-induced amenorrhoea.

designA quasi-experimental pretest-posttest design with repeated measures.

methodsThe study was carried out at a university medical centre between October 2017 and September 2018. The intervention group received a 12-week mobile web-based self-management program including education and coaching/support. Multiple instruments were used to measure menopausal symptoms, self-efficacy, and quality of life at pre-test, after the intervention (post-test), and 3 months post-intervention (follow-up test). Repeated measure ANOVA was used to analyse the data.

resultsIn the intervention group, menopausal symptoms were significantly improved compared to the control group at the follow-up test. In the follow-up test, the intervention group's self-efficacy and quality of life were significantly improved, whereas that of the control group was decreased.

Indexed as

Antineoplastic AgentsBreast NeoplasmsSelf-ManagementAmenorrheaFemaleHumansInternetQuality of LifeAntineoplastic Agentsadjuvant chemotherapyamenorrhoeabreast neoplasmsinternet-based interventionmobile applicationsnursingpremature menopausequality of lifeself-efficacyself-management

Identifiers

PMID34719131
PMCPMC8685845

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.