Evidence map›Paper›PMID 35932356›Full record

ArticleJournal of cancer survivorship : research and practice2023

Resilience index improves prediction of 1-year decreased quality of life in breast cancer.

Mu Zi Liang, Ying Tang, M Tish Knobf, Alex Molassiotis, Peng Chen, Guang Yun Hu, Zhe Sun, Yuan Liang Yu, Zeng Jie Ye

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Article in Journal of cancer survivorship : research and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

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18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Trial
  2. Social support, resilience, and demoralization in patients with breast cancer: a moderated network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Mu Zi Liang *Guangdong Academy of Population Development, Guangzhou, 510600, Guangdong Province, China.
Ying Tang *Institute of Tumor, Guangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China.
M Tish KnobfSchool of Nursing, Yale University, Orange, CT, 06477, USA.
Alex MolassiotisSchool of Nursing, The Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR.
Peng ChenBasic Medical School, Guizhou University of Traditional Chinese Medicine, Guiyang, 550025, Guizhou Province, China.
Guang Yun HuArmy Medical University, Chongqing Municipality, 400038, China.
Zhe SunThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong Province, China.
Yuan Liang YuSouth China University of Technology, Guangzhou, 510641, Guangdong Province, China.
Zeng Jie YeGuangzhou University of Chinese Medicine, Guangzhou, 510006, Guangdong Province, China. zengjieye@qq.com.ORCID http://orcid.org/0000-0002-4437-3947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResilience is important in cancer survivorship and has great potential to predict long-term quality of life (QoL) in breast cancer. The study was designed to develop a new prediction model to estimate pretest probability (PTP) of 1-year decreased QoL combing Resilience Index (RI) and conventional risk factors.

methodsRI was extracted from 10-item Resilience Scale Specific to Cancer (RS-SC-10) based on the Principal Component Analysis (PCA). Patients were enrolled from Be Resilient to Breast Cancer (BRBC) and the prediction model was developed based on a sample of 506 consecutive patients and validated in an internal cohort (N1 = 314) and two external cohorts (N2 = 223 and N3 = 189). Integrated Discrimination Improvement (IDI) and Net Reclassification Improvement (NRI) were utilized to estimate the incremental value of RI.

resultsRI improved prediction above conventional risk factors. AUC increased from 0.745 to 0.862 while IDI and NRI were 8.39% and 18.44% respectively (P < 0.0001 for all). Five predictors were included in the final model: RI, age, N stage, M stage, and baseline QoL. The new model demonstrated good calibration ability in the internal and external cohorts resulting in C-indexes of 0.862 (95%CI, 0.815-0.909), 0.828 (95%CI, 0.745-0.910), 0.880 (95%CI, 0.816-0.944), and 0.869 (95%CI, 0.796-0.941).

conclusionRI contributed to a more accurate estimation for PTP of 1-year decreased QoL above conventional risk factors and could help optimize decision making of treatment for breast cancer. IMPLICATIONS FOR CANCER SURVIVORS: A promising prognostic indicator of RI could improve QoL-related management in Chinese patients with breast cancer.

Indexed as

Breast NeoplasmsCancer SurvivorsFemaleHumansPrognosisQuality of LifeRisk Factors1-year quality of lifeBreast cancerMulticenter cohortsNomogramPrediction modelResilience indexRisk factors

Identifiers

PMID35932356

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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.