Evidence map›Paper›PMID 32892304›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021

Using a Chinese time trade-off approach to explore the health utility level and quality of life of cancer patients in urban China: a multicentre cross-sectional study.

Hanyue Ding, Ayan Mao, Jiaye Lin, Martin C S Wong, Pei Dong, Wuqi Qiu

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Development of mapping algorithms for gastric cancer: translating EORTC QLQ-C30 and QLQ-STO22 to EQ-5D-5L health utilities.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025
    Article
  3. 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

6 authors.

Hanyue DingJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0001-9977-0985
Ayan MaoDepartment of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-7290-1110
Jiaye LinJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0001-8858-620X
Martin C S WongJockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, SAR, China.ORCID https://orcid.org/0000-0001-7706-9370
Pei DongDepartment of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-2154-101X
Wuqi QiuDepartment of Public Health Strategy Research, Institute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. qiu.wuqi@imicams.ac.cn.ORCID https://orcid.org/0000-0001-5037-7840

Funding

Chinese Academy of Medical Sciences (CAMS) Innovation Fund for Medical Sciences 2017-I2M-1-006
6 · The paper itself

Abstract

purposeA quality of life assessment is useful in identifying a specific health impact on patients who are suffering from various medical conditions. This study estimated the quality of life among patients with cancers of the lungs, breast, colorectum, oesophagus, liver, and stomach in urban China and evaluates the associated factors.

methodsThis study employed a random cluster sampling strategy to recruit patients with lung, breast, colorectal, oesophageal, liver, or stomach cancer from eleven third-grade class-A (the highest level) hospitals in Beijing between October 2013 and May 2014. We performed a quality of life survey that included solicitation of sociodemographic and clinical information and the use of a EuroQoL five-dimension three-level questionnaire. We applied the Chinese time trade-off method to calculate the health utility values, which were transformed into binary variables (using the median as the cut-off). In addition, multivariable logistic regression analysis was used to examine the factors associated with the quality of life.

resultsA total of 637 patients (91 with lung cancer, 152 with breast cancer, 60 with colorectal cancer, 108 with oesophageal cancer, 154 with liver cancer, and 72 with stomach cancer) were included in this study; the medians of the health utility values were 0.780, 0.800, 0.800, 0.860, 0.800, and 0.870, respectively. The most common concerns for patients of all six cancer types were pain/discomfort and anxiety/depression. The reported health status of patients was associated with various demographic and clinical variables.

conclusionThis study highlighted that pain relief and psychological support are important aspects of patient management for those with these types of cancer. Individuals with factors associated with a poorer quality of life should be targets for additional support.

Indexed as

AdultAgedAged, 80 and overAsian PeopleChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeoplasmsQuality of LifeSurveys and QuestionnairesBreast neoplasmsColorectal neoplasmsLiver neoplasmsLung neoplasmsOesophageal neoplasmsQuality of lifeStomach neoplasms

Identifiers

What OpenQuestion holds

Textmetadata
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.