Evidence map›Paper›PMID 38496913›Full record

ArticleNeuro-oncology practice2024

The development and validation of a needs assessment tool for use with YOUng adult survivors of a CentrAl Nervous system tumor (YOU-CAN).

Kate Law, Martin G McCabe, Sabine N van der Veer, Janelle Yorke

Abstract read
In one paragraph

Article in Neuro-oncology practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Kate LawDivision of Nursing, Midwifery and Social Work, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-0995-8309
Martin G McCabeDivision of Nursing, Midwifery and Social Work, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Sabine N van der VeerCentre for Health Informatics, Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK.
Janelle YorkeDivision of Nursing, Midwifery and Social Work, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adolescent and young adult (AYA) survivors of a central nervous system (CNS) tumor represent a vulnerable group who can experience: social isolation, low rates of employment, and achieving independence can be compromised, leading to poorer quality of life compared with survivors of other cancer types. The aim of this study is to develop and evaluate the validity of a needs assessment tool (NAT) for AYA survivors of a CNS tumor. Methods: Items generated using data from 29 qualitative studies and cognitive interviews ( Results: Hierarchical analysis and Rasch analysis identified 18- and 15-items for removal, respectively. YOU-CAN, comprised of the remaining 16 items, demonstrates excellent test-retest reliability (intra-class correlation coefficient, 0.901, Conclusions: YOU-CAN is a valid and reliable instrument containing items related to concerns about physical and emotional health; family and relationships; self-acceptance; and independence. Future efforts should examine YOU-CAN's feasibility, and develop guidance for managing unmet needs. Routine use of YOU-CAN may improve the identification of otherwise undiscussed unmet needs and opportunities to deliver personalized support.

Indexed as

adolescent and young adultscentral nervous system tumorsurvivorshipunmet needs

Identifiers

PMID38496913
PMCPMC10940824

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.