Evidence map›Paper›PMID 30241191›Full record

ArticleJournal of global oncology2018

Anxiety- and Health-Related Quality of Life Among Patients With Breast Cancer: A Cross-Cultural Comparison of China and the United States.

Jin You, Qian Lu, Michael J Zvolensky, Zhiqiang Meng, Kay Garcia, Lorenzo Cohen

Abstract readComparative Study
In one paragraph

Article in Journal of global oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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.

Jin YouJin You, Wuhan University, Wuhan; Zhiqiang Meng, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Qian Lu and Michael J. Zvolensky, University of Houston; and Kay Garcia and Lorenzo Cohen, The University of Texas MD Anderson Cancer Center, Houston, TX.
Qian LuJin You, Wuhan University, Wuhan; Zhiqiang Meng, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Qian Lu and Michael J. Zvolensky, University of Houston; and Kay Garcia and Lorenzo Cohen, The University of Texas MD Anderson Cancer Center, Houston, TX.
Michael J ZvolenskyJin You, Wuhan University, Wuhan; Zhiqiang Meng, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Qian Lu and Michael J. Zvolensky, University of Houston; and Kay Garcia and Lorenzo Cohen, The University of Texas MD Anderson Cancer Center, Houston, TX.
Zhiqiang MengJin You, Wuhan University, Wuhan; Zhiqiang Meng, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Qian Lu and Michael J. Zvolensky, University of Houston; and Kay Garcia and Lorenzo Cohen, The University of Texas MD Anderson Cancer Center, Houston, TX.
Kay GarciaJin You, Wuhan University, Wuhan; Zhiqiang Meng, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Qian Lu and Michael J. Zvolensky, University of Houston; and Kay Garcia and Lorenzo Cohen, The University of Texas MD Anderson Cancer Center, Houston, TX.
Lorenzo CohenJin You, Wuhan University, Wuhan; Zhiqiang Meng, Fudan University Shanghai Cancer Center, Shanghai, People's Republic of China; Qian Lu and Michael J. Zvolensky, University of Houston; and Kay Garcia and Lorenzo Cohen, The University of Texas MD Anderson Cancer Center, Houston, TX.

Funding

International Center of TCM for CancerU19CA121503 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI COHEN, LORENZO · 2005 to 2010
$3.0M
International Center of TCM for CancerR21CA108084 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI COHEN, LORENZO · 2003 to 2004
$263k
NCI NIH HHS R21 CA108084NCI NIH HHS U19 CA121503
6 · The paper itself

Abstract

purposeLiterature has documented the prevalence of anxiety and its adverse effect on quality of life among patients with breast cancer from Western countries, yet cross-cultural examinations with non-Western patients are rare. This cross-cultural study investigated differences in anxiety and its association with quality of life between US and Chinese patients with breast cancer.

methodsPatients with breast cancer from the United States and China completed measures for anxiety (Spielberger State-Trait Anxiety Inventory) and quality of life (Functional Assessment of Cancer Therapy-Breast).

resultsAfter controlling for demographic and medical characteristics, Chinese patients reported higher levels of trait and state anxiety than US patients. Although there was an association between anxiety and quality of life in both groups of patients, the association between state anxiety and quality of life was stronger among Chinese patients than among US patients, with the association between trait anxiety and quality of life the same between the two cultural samples.

conclusionThese findings suggest that anxiety and its association with quality of life among patients with breast cancer varies depending on cultural context, which reveals greater anxiety and poorer quality of life among Chinese patients compared with US patients. This suggests greater unmet psychosocial needs among Chinese patients and highlights the need to build comprehensive cancer care systems for a better quality of life in Chinese populations.

Indexed as

AdultAnxietyBreast NeoplasmsChinaCross-Cultural ComparisonFemaleHumansMiddle AgedQuality of LifeUnited States

Identifiers

PMID30241191
PMCPMC6180812

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.