Evidence map›Paper›PMID 37519402›Full record

ArticleAsia-Pacific journal of oncology nursing2023

Quality of life patient/cancer survivor version in Chinese cancer survivors: A validation study.

Hai-Ying Wang, Stephen Wai Hang Kwok, Xian-Liang Liu, Tao Wang, Daniel Bressington, Yushan Shen, Qing Zhang, Hou-Qiang Huang, Jing-Yu Tan

Abstract read
In one paragraph

Article in Asia-Pacific journal of oncology nursing, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Hai-Ying WangSchool of Nursing (Brisbane Centre), Faculty of Health, Charles Darwin University, Brisbane, QLD, Australia.
Stephen Wai Hang KwokSchool of Nursing, Faculty of Health, Charles Darwin University, Ellengowan Drive, Casuarina, NT, Australia.
Xian-Liang LiuSchool of Nursing (Brisbane Centre), Faculty of Health, Charles Darwin University, Brisbane, QLD, Australia.
Tao WangSchool of Nursing (Brisbane Centre), Faculty of Health, Charles Darwin University, Brisbane, QLD, Australia.
Daniel BressingtonSchool of Nursing, Faculty of Health, Charles Darwin University, Ellengowan Drive, Casuarina, NT, Australia.
Yushan ShenAffiliated Hospital of Southwest Medical University, Luzhou, China.
Qing ZhangAffiliated Hospital of Southwest Medical University, Luzhou, China.
Hou-Qiang HuangAffiliated Hospital of Southwest Medical University, Luzhou, China.
Jing-Yu TanSchool of Nursing, Faculty of Health, Charles Darwin University, Ellengowan Drive, Casuarina, NT, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To validate the Chinese version of the Quality of Life (QoL) Patient/Cancer Survivor Version (QOLCSV-C) for measuring QoL in Chinese cancer survivors. Methods: The study followed a seven-step research practice guideline for cross-cultural research instrument validation study including translation, adaptation, and psychometric assessment. A forward- and backward-translation procedure was approached, followed by cultural adaptation and acceptability assessment. For its psychometric properties, its concurrent validity with the Functional Assessment of Cancer Therapy-General (FACT-G) was examined with correlation analysis. The internal consistency (Cronbach's alpha) and item-total and item-subtotal correlations of the QOLCSV-C were obtained. Factor analyses were conducted. Floor and ceiling effects and the discriminant performance of the selected variables on QOLCSV-C score were also examined. Results: The QOLCSV-C was translated from the 41-item QOLCSV with four domains: psychological, physical, spiritual and social well-being. The content validity was excellent (CVI ​= ​1.00). Time spent to complete the QOLCSV-C was about 10 ​min. The QOLCSV-C was found easy to use, appropriate in length, and reflective of their QoL. The strong correlation between QOLCSV-C and FACT-G indicates a satisfactory concurrent validity (Spearman's rho ​= ​0.765, Conclusions: The QOLCSV-C is a reliable and valid instrument for measuring the QoL in Chinese cancer survivors. Future studies can explore the factor structure, gender universal or specific items, and significant predictors of QoL of cancer survivors in different cultures.

Indexed as

Cancer survivorsMeasurement instrumentQuality of lifeValidation study

Identifiers

PMID37519402
PMCPMC10372171

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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.