Evidence map›Paper›PMID 27864742›Full record

ReviewQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2017

A review of the application, feasibility, and the psychometric properties of the individualized measures in cancer.

Ala' S Aburub, Nancy E Mayo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.6field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Article
  3. Adaptation and content validation of measure yourself medical outcomes profile (MYMOP) for 7-11 year-old children.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Individualized health-related quality of life instrument Measure Yourself Medical Outcome Profile (MYMOP) and its adaptations: a critical appraisal.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2019
    Review
  9. Impact of reconceptualization response shift on rating of quality of life over time among people with advanced cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2018
    Article
  10. 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

2 authors at 1 institution in 1 country.

Ala' S AburubDivision of Clinical Epidemiology, School of Physical and Occupational Therapy, McGill University, Royal Victoria Hospital Site, Ross Pavilion R4.29, 687, Pine Ave W., Montreal, QC, H3A 1A1, Canada. ala.aburub@mail.mcgill.ca.ORCID 0000-0003-3573-7304
Nancy E MayoDivision of Clinical Epidemiology, McGill University Health Center, Ross Pavilion R4.29, Royal Victoria Hospital Site, Montreal, QC, H3A 1A1, Canada.
Royal Victoria Hospital · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify from the published literature the feasibility and the application of the individualized measures [Patient Generated Index (PGI), Schedule for the Evaluation of Individual Quality of Life (SEIQOL), and the short form of it (the direct weighting SEIQOL-DW)] in the context of cancer and to summarize the evidence on the psychometric properties of these measures.

methodsOvid Medline, PubMed, Embase, and CINAHL were searched up to April 2016. All studies were included if they reported information about the psychometric properties of the individualized measures and included patients diagnosed with any type of cancer at any age. Effect size (ES) was calculated to test for the responsiveness.

resultsFifty-four full articles were reviewed. Full-text assessment of these articles resulted in 27 eligible studies that were included in our analysis. The majority of the studies (81%) reported data on the SEIQOL-DW, and only 15% on the PGI. Fourteen areas of quality-of-life (QOL) concerns were identified by patients using the PGI with the top 4 being family (90%), health (85%), finance (85%), and work (80%). At the global level, the correlation between the individualized and standard measures ranged from 0.45 to 0.49 and, at the symptom level, from 0.26 to 0.51. The ES of the individualized measures was high (ranged from 0.98 to 1.0) in the studies that expected high positive change compared to standard QOL measures (ES = 0.1).

conclusionIndividualized measures are feasible and acceptable among people with cancer and could easily be incorporated clinically and used in a research context. Individualized measures are sensitive to change and cover a wide range of patients QOL concerns in comparison with standard measures.

Indexed as

Sickness Impact ProfileAdolescentAdultAgedChildFeasibility StudiesFemaleHumansMaleMiddle AgedNeoplasmsPsychometricsYoung AdultCancerIndividualized measuresPatient Generated IndexPsychometric propertiesSchedule for the Evaluation of Individual Quality of Life

Identifiers

PMID27864742
OpenAlexW2550192428

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.