Evidence map›Paper›PMID 23194009›Full record

ArticleHealth and quality of life outcomes2012

Validation of the functional assessment of cancer therapy-gastric module for the Chinese population.

Hui Jun Zhou, Jimmy B Y So, Wei Peng Yong, Nan Luo, Feng Zhu, Nasheen Naidoo, Shu Chuen Li, Khay Guan Yeoh

Abstract readValidation Study
In one paragraph

Article in Health and quality of life outcomes, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
–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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Roy adaptation model-based patient education for elderly patients undergoing laparoscopic radical gastrectomy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Trial
  5. Trial
  6. Article
  7. Review
  8. Symptom Cluster Assessment Tools for Gastric Cancer Care in China: A Comprehensive Review.Medical science monitor : international medical journal of experimental and clinical research · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Trajectories of Patient-Reported Outcomes After Palliative Gastrointestinal Surgery in Advanced Cancer: Is Good Quality of Life Sustainable?Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Validation of the Chinese version of functional assessment of anorexia-cachexia therapy (FAACT) scale for measuring quality of life in cancer patients with cachexia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    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

8 authors.

Hui Jun ZhouSaw Swee Hock School of Public Health, National University of Singapore, 16 Medical Drive, Block MD3, Singapore 117597, Singapore.
Jimmy B Y So
Wei Peng Yong
Nan Luo
Feng Zhu
Nasheen Naidoo
Shu Chuen Li
Khay Guan Yeoh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuality of life (QoL) assessment has become an important aspect of the clinical management of gastric cancer (GC), which poses a greater health threat in Chinese populations around the world. Functional Assessment of Cancer Therapy-Gastric Module (FACT-Ga), a questionnaire developed specifically to measure QoL of patients with GC, has never been validated in Chinese subjects. The current study was designed to examine the psychometric properties of FACT-Ga as a GC specific QoL instrument for its future use in Chinese populations.

methodsA sample of 67 Chinese patients with GC in the National University Hospital, Singapore was investigated cross-sectionally. The participants independently completed either English or Chinese versions of the FACT-Ga and the European Quality of Life-5 Dimensions (EQ-5D). Reliability was measured as the Cronbach's α for EQ-5D, and five subscale scores and two total scores of FACT-Ga. The sensitivity to patients' clinical status was evaluated by comparing EQ-5D and FACT-Ga scores between clinical subgroups classified by Clinical Stage and Treatment Intent. The construct validity of FACT-Ga was assessed internally by examining the item-to-scale correlations and externally by contrasting the FACT-Ga subscales with the EQ-5D domains.

resultsFor both FACT-Ga and EQ-5D, patients treated with curative intent rated their QoL higher than those treated for palliation, and early stage patients scored higher than those in the late stage. The sensitivity to clinical status of FACT-Ga scores were differential as four of seven FACT-Ga scores were significant for Treatment Intent while only one subscale score was significant for Clinical Stage. Six FACT-Ga scores had Cronbach's α of 0.8 or above indicating excellent reliability. For construct validity, 45 of 46 items converged about their respective subscales. The monotrait-multimethod correlations between QoL constructs of FACT-Ga and EQ-5D were stronger than the multitrait-multimethod correlations as theoretically hypothesized, suggesting good convergent and discriminant validities.

conclusionsGiven the excellent reliability and good construct validity, FACT-Ga scores are able to distinguish patient groups with different clinical characteristics in the expected direction. Therefore FACT-Ga can be used as a discriminative instrument for measuring QoL of Chinese patients with GC.

Indexed as

Quality of LifeAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSingaporeStomach NeoplasmsSurveys and Questionnaires

Identifiers

PMID23194009
PMCPMC3520860

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Registered trials

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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.