Evidence map›Paper›PMID 42209946›Full record

ArticleJournal of patient-reported outcomes2026

Health-related quality of life among Mongolian-speaking women with breast cancer receiving adjuvant endocrine therapy in China: a cross-sectional study.

Rila Su, Claire Snyder, Laura Morlock, Albert W Wu, Alden L Gross, Jiafu Ji

Abstract read
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Article in Journal of patient-reported outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rila SuDepartment of Oncology, Inner Mongolia People's Hospital, Hohhot, China. rsu5@jh.edu.
Claire SnyderDepartment of Health Policy and Management, Johns Hopkins University, Baltimore, USA.
Laura MorlockDepartment of Health Policy and Management, Johns Hopkins University, Baltimore, USA.
Albert W WuDepartment of Health Policy and Management, Johns Hopkins University, Baltimore, USA.
Alden L GrossDepartment of Epidemiology, Johns Hopkins University, Baltimore, USA.
Jiafu JiState Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Peking University Cancer Hospital, Beijing, China.

Funding

Inner Mongolia Academy of Medical Sciences 2023GLLH0008Science and Technology Program of Inner Mongolia Health Commission 2025WSJK006
6 · The paper itself

Abstract

backgroundBreast cancer (BC) is the most common malignancy among women worldwide. Women in Mongolia, China, with BC face distinct socioeconomic and cultural barriers that may affect their health-related quality of life (HRQoL), particularly during adjuvant endocrine therapy (AET). This study assessed the HRQoL of Mongolian-speaking BC patients undergoing AET. METHODOLOGY: This descriptive, cross-sectional study included Mongolian-speaking BC patients from two hospitals in Inner Mongolia, China. Participants provided their sociodemographic and clinical information. They completed the Mongolian versions of the Functional Assessment of Cancer Therapy-Endocrine Symptoms (FACT-ES). Eastern Cooperative Oncology Group (ECOG) performance status was assessed by an oncologist during the clinical encounter and recorded for study purposes.

resultsOf 215 patients approached, 200 participated and completed the questionnaires. Mean(SD) age = 55.45 ± 9.63 years; 72.5% were Stages I-II, 76% had a mastectomy, and 12% had breast-conserving surgery. Fourteen symptoms were reported by over 20% of participants. The most frequently reported were joint pain (82%), hot flashes (72%), cold sweats (61%) and mood swings (60%). Emotional well-being scores were lower than those reported in healthy females and female cancer patients, while functional well-being scores were relatively higher. Univariate analysis revealed significant differences in various subscales and overall FACT-ES scores across different characteristics, including annual income, occupational status, previous surgical procedures, cancer stage at diagnosis, and ECOG performance status (all P<.05). In multivariate regression analysis, ECOG performance status was negatively associated with most subscales and the overall FACT-ES (P<.001).

conclusionsThese findings highlight the complex relationships between AET and HRQoL, as well as the specific challenges for Mongolian-speaking BC patients receiving AET in Inner Mongolia, China, underscoring the need for multidimensional approaches to improving HRQoL.

Indexed as

Antineoplastic Agents, HormonalBreast NeoplasmsQuality of LifeAdultAgedChemotherapy, AdjuvantChinaCross-Sectional StudiesFemaleHumansMiddle AgedMongoliaSurveys and QuestionnairesAntineoplastic Agents, HormonalAdjuvant endocrine therapyFACT-ESHealth-related quality of lifeMongolian-speaking breast cancer patients

Identifiers

PMID42209946
PMCPMC13424016

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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.