Evidence map›Paper›PMID 23741467›Full record

ArticlePloS one2013

Attributing variance in supportive care needs during cancer: culture-service, and individual differences, before clinical factors.

Richard Fielding, Wendy Wing Tak Lam, Shiow Ching Shun, Toru Okuyama, Yeur Hur Lai, Makoto Wada, Tatsuo Akechi, Wylie Wai Yee Li, for Asia-Pacific Psycho-Oncology Network (APPON)

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
4.9field-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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 41 citations in OpenAlex.

  1. Pooled it
  2. Unmet care needs in people living with advanced cancer: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016
    Pooled it
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Supportive care priorities of low-income Latina breast cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Article
  12. Article
  13. Challenges in supportive cancer care: perspectives from the Asia Pacific and Middle East.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016
    Article
  14. Illness perceptions among cancer survivors.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2016
    Article
  15. Article
  16. Deconstructing the complexity of PTSD in cancer.Nature reviews. Clinical oncology · 2013
    Article
  17. PTSD--more complicated on second look.Nature reviews. Clinical oncology · 2013
    Article
  18. 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

9 authors at 4 institutions in 3 countries.

Richard FieldingCentre for Psycho-Oncology Research and Training, School of Public Health, The University of Hong Kong, Pokfulam, Hong Kong, China. fielding@hku.hk
Wendy Wing Tak Lam
Shiow Ching Shun
Toru Okuyama
Yeur Hur Lai
Makoto Wada
Tatsuo Akechi
Wylie Wai Yee Li
for Asia-Pacific Psycho-Oncology Network (APPON)
University of Hong Kong · HKNagoya City University · JPNational Taiwan University · TWSaitama Prefecture · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies using the Supportive Care Needs Survey (SCNS) report high levels of unmet supportive care needs (SCNs) in psychological and less-so physical & daily living domains, interpreted as reflecting disease/treatment-coping deficits. However, service and culture differences may account for unmet SCNs variability. We explored if service and culture differences better account for observed SCNs patterns.

methodsHong Kong (n = 180), Taiwanese (n = 263) and Japanese (n = 109) CRC patients' top 10 ranked SCNS-34 items were contrasted. Mean SCNS-34 domain scores were compared by sample and treatment status, then adjusted for sample composition, disease stage and treatment status using multivariate hierarchical regression.

resultsAll samples were assessed at comparable time-points. SCNs were most prevalent among Japanese and least among Taiwanese patients. Japanese patients emphasized Psychological (domain mean = 40.73) and Health systems and information (HSI) (38.61) SCN domains, whereas Taiwanese and Hong Kong patients emphasized HSI (27.41; 32.92) and Patient care & support (PCS) (19.70; 18.38) SCN domains. Mean Psychological domain scores differed: Hong Kong = 9.72, Taiwan = 17.84 and Japan = 40.73 (p<0.03-0.001, Bonferroni). Other SCN domains differed only between Chinese and Japanese samples (all p<0.001). Treatment status differentiated Taiwanese more starkly than Hong Kong patients. After adjustment, sample origin accounted for most variance in SCN domain scores (p<0.001), followed by age (p = 0.01-0.001) and employment status (p = 0.01-0.001). Treatment status and Disease stage, though retained, accounted for least variance. Overall accounted variance remained low.

conclusionsHealth service and/or cultural influences, age and occupation differences, and less so clinical factors, differentially account for significant variation in published studies of SCNs.

Indexed as

Social SupportAgedAsian PeopleCultureFemaleHealth Care SurveysHong KongHumansIndividualityJapanMaleMiddle AgedNeoplasmsPatient CarePrevalenceQuality of Life

Identifiers

PMID23741467
PMCPMC3669056
OpenAlexW2026039572

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.