Evidence map›Paper›PMID 30461556›Full record

Trial reportMenopause (New York, N.Y.)2019

Decreasing menopausal symptoms of Asian American breast cancer survivors through a technology-based information and coaching/support program.

Eun-Ok Im, Sangmi Kim, Chiyoung Lee, Eunice Chee, Jun J Mao, Wonshik Chee

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Menopause (New York, N.Y.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 5 pooled it
1.6field-weighted citation impact, top 13% 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

20 citing papers in PubMed, 5 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  5. The efficacy of web or mobile-based interventions to alleviate emotional symptoms in people with advanced cancer: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022
    Pooled it
  6. Five Dimensions of Needs for Help: The Efficacy of a Technology-Based Intervention Among Asian American Breast Cancer Survivors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2024
    Trial
  7. Information Needs of Asian American Breast Cancer Survivors: a Decision Tree Analysis.Journal of cancer education : the official journal of the American Association for Cancer Education · 2022
    Trial
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  11. Lessons from a Customer Discovery Study: a Technology-Based Cancer Support Program for Asian American Breast Cancer Survivors.Journal of cancer education : the official journal of the American Association for Cancer Education · 2023
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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

6 authors at 3 institutions in 1 country.

Eun-Ok ImSchool of Nursing, Duke University, Durham, NC.
Sangmi KimSchool of Nursing, Duke University, Durham, NC.
Chiyoung LeeSchool of Nursing, Duke University, Durham, NC.
Eunice CheeDepartment of Biomedical Engineering, North Carolina State University, Chapel Hill, NC.
Jun J MaoMemorial Sloan Kettering Cancer Center, Bendheim Integrative Medicine Center, New York, NY.
Wonshik CheeSchool of Nursing, Duke University, Durham, NC.
Duke University · USMemorial Sloan Kettering Cancer Center · USNorth Carolina State University · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
To enhance breast cancer survivorship of Asian AmericansR01CA203719 · NCI · EMORY UNIVERSITY · PI IM, EUN-OK · 2016 to 2020
$2.8M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA203719
6 · The paper itself

Abstract

objectiveOne of the most prevalent and distressing symptoms after breast cancer treatment is menopausal symptoms. Asian American breast cancer survivors have lower quality of life and often receive inadequate management of menopausal symptoms compared to other racial/ethnic groups. Technology-based programs could be a solution to fill the gap in care. The purpose of this study was to test the efficacy of a technology-based information and coaching/support program on menopausal symptoms of Asian American breast cancer survivors.

methodsThis study adopted a randomized pretest/post-test group design among 91 Asian American breast cancer survivors (42 in an intervention group who used the program and the American Cancer Society Web site and 49 in a control group who used only the American Cancer Society Web site). The intervention was a theory-driven and culturally tailored intervention program that aimed to provide information and coaching/support using computers and mobile devices. Multiple instruments were used to measure background characteristics and menopausal symptoms at pretest, post 1-month, and post 3 months. An intent-to-treat linear mixed-model growth curve analysis was used to analyze the data.

resultsThe intervention group showed a significant decrease in the distress scores of menopausal symptoms over time: physical (β = -0.07, P = 0.08), psychological (β = -0.13, P = 0.05), psychosomatic (β = -0.17, P = 0.06), and total symptoms (β = -0.19, P = 0.01). Theory-based variables including attitudes, social influences, and self-efficacy partially mediated the impact of the intervention on the distress scores of menopausal symptoms (P < 0.10).

conclusionsThe program was effective in alleviating menopausal symptoms of Asian American breast cancer survivors.

Indexed as

AsianCancer SurvivorsSocial SupportAttitude to HealthBreast NeoplasmsFemaleHumansInternetMenopauseMiddle AgedSelf Efficacy

Identifiers

PMID30461556
PMCPMC6435386
OpenAlexW2900905933

What OpenQuestion holds

Textmetadata
LicenceTDM
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.