Evidence map›Paper›PMID 27209478›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2016

Knowledge, attitudes, and influencing factors of cancer patients toward approving advance directives in China.

Ru-Jun Zheng, Yan Fu, Qiu-Fen Xiang, Mei Yang, Lin Chen, Ying-Kang Shi, Chun-Hua Yu, Jun-Ying Li

Open access · hybridAbstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 5% of its field
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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 50 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Intention to complete advance directives among patients with cancer undergoing treatment: application of the extended theory of planned behavior.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  19. Prevalence and Predictors of Willingness to Make Advance Directives among Macao Chinese.International journal of environmental research and public health · 2021
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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

8 authors at 2 institutions in 1 country.

Ru-Jun ZhengWest China Nursing School and Business School, Sichuan University, Chengdu, 610041, People's Republic of China.
Yan FuDepartment of Thoracic Cancer and Cancer Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Qiu-Fen XiangDepartment of Thoracic Cancer and Cancer Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Mei YangCancer Research Center, Tumor Hospital of Xinjiang, Xinjiang Medical University, Urumuqi, 830000, People's Republic of China.
Lin ChenLung Cancer Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Ying-Kang ShiInstitute of Hospital Administration,West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China.
Chun-Hua YuDepartment of Thoracic Cancer and Cancer Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China. chunhua1995@126.com.
Jun-Ying LiDepartment of Thoracic Cancer and Cancer Research Center, West China Hospital, Sichuan University, Chengdu, 610041, People's Republic of China. lijunying2005@sina.com.
Sichuan University · CNXinjiang Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMany cancer patients do not have advance directives (ADs), which may lead to unwanted excessive or aggressive care when patients have lost decision-making capacity. The aim of this study was to investigate knowledge and attitudes of approving ADs and explore factors associated with willing to designate ADs among cancer patients in China.

methodsWe conducted semi-structured interview method investigating 753 in-patients with cancer in two cancer centers.

resultsOf those subjects, none of the cancer patients had an AD. Only 22.4 % (118 of 526) approved ADs. Comparing with the disapproved ADs group, the approved ADs group were more likely to discuss the AD with oncologist or nurse (χ (2) = 180.4, p < 0.001) in the cancer center (χ (2) = 244.1, p < 0.001), and they chose more comfort care (χ (2) = 18.8, p < 0.001). Most of cancer patients in the two groups wanted to die at home (72.8 %, 73.7 %, respectively). The older patients (OR, 1.04, 95 % CI, 1.02-1.07, p = 0.001), female (OR, 0.55, 95 % CI, 0.35-0.88, p = 0.013), with higher education levels (OR, 3.38, 95 % CI, 1.92-5.96, p < 0.001), with religious beliefs (OR, 2.91, 95 % CI, 1.71-4.94, p < 0.001), and with higher scores of ECOG (OR, 1.46, 95 % CI, 1.17-1.82, p = 0.001) were associated with desiring for ADs.

conclusionsOur findings indicate that there was a dearth of knowledge and different attitudes toward approving ADs among cancer patients, and some factors of demographic and clinical characteristics influenced their willing to designate ADs. This research highlights the importance of propagandizing the ADs to the public, especially to the patients, and further discussing with them when the time is ripe.

Indexed as

Health Knowledge, Attitudes, PracticeAdvance DirectivesChinaFemaleHumansMaleMiddle AgedNeoplasmsSurveys and QuestionnairesAdvance directiveAttitudeCancer patientFactorKnowledge

Identifiers

PMID27209478
PMCPMC4993803
OpenAlexW2405478354

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.