Evidence map›Paper›PMID 36231542›Full record

ArticleInternational journal of environmental research and public health2022

Web-Based Personalized Intervention to Improve Quality of Life and Self-Efficacy of Long-Term Breast Cancer Survivors: Study Protocol for a Randomized Controlled Trial.

Nelia Soto-Ruiz, Paula Escalada-Hernández, Leticia San Martín-Rodríguez, Marta Ferraz-Torres, Cristina García-Vivar

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
1.4field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Effectiveness of the socioecological informed contextual treatment summary and care plan (TSSCP-P, Brazil) for breast cancer survivors: a randomized, controlled study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Trial
  5. Review
  6. Article
  7. Article
  8. 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

5 authors at 1 institution in 1 country.

Nelia Soto-RuizDepartment of Health Science, Public University of Navarre, 31008 Pamplona, Spain.ORCID 0000-0002-5161-2272
Paula Escalada-HernándezDepartment of Health Science, Public University of Navarre, 31008 Pamplona, Spain.ORCID 0000-0003-2263-156X
Leticia San Martín-RodríguezDepartment of Health Science, Public University of Navarre, 31008 Pamplona, Spain.ORCID 0000-0002-9097-7493
Marta Ferraz-TorresDepartment of Health Science, Public University of Navarre, 31008 Pamplona, Spain.ORCID 0000-0002-7740-2572
Cristina García-VivarDepartment of Health Science, Public University of Navarre, 31008 Pamplona, Spain.ORCID 0000-0002-6022-559X
Universidad Publica de Navarra · ES

Funding

European UnionInstituto de Salud Carlos III (ISCIII) PI21/00894
6 · The paper itself

Abstract

Long-term breast cancer survivors (>5 years free of disease) may suffer late sequelae of cancer that impact on their quality of life. The use of telehealth for cancer care is recommended but little is known about the effectiveness of digital interventions for long-term cancer survivors. This study aims to evaluate the effectiveness of a web-based personalized intervention based on artificial intelligence instead of usual primary health care to improve the quality of life of long-term survivors of breast cancer and self-efficacy for the management of late sequelae. A randomized controlled trial will be conducted. The sample will consist of long-term breast cancer survivors recruited from primary health centers. Women will be randomly assigned to the intervention group to receive a web-based personalized intervention or to the control group to receive standard primary health care by nurses. Data on quality of life of cancer survivors and self-efficacy for the management of late sequelae of cancer will be collected and assessed at preintervention, and at 3, 6, and 9 months. It is expected that, at the end of the programme, the experimental group will have improved quality of life and improved self-efficacy for the management of late sequelae of cancer.

Indexed as

Breast NeoplasmsCancer SurvivorsInternet-Based InterventionArtificial IntelligenceExerciseFemaleHumansQuality of LifeRandomized Controlled Trials as TopicSelf Efficacycancer survivorslong-term survivorsnursesquality of lifeweb-based intervention

Identifiers

PMID36231542
PMCPMC9564785
OpenAlexW4297540061

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.