Evidence map›Paper›PMID 18791810›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2008

Comparison of health-related quality of life measures for chronic renal failure: quality of well-being scale, short-form-6D, and the kidney disease quality of life instrument.

Karen L Saban, Kevin T Stroupe, Fred B Bryant, Domenic J Reda, Margaret M Browning, Denise M Hynes

Abstract readComparative StudyValidation Study
PubMed Publisher
In one paragraph

Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 17% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 30 citations in OpenAlex.

  1. The psychosocial correlates of quality of life in the dialysis population: a systematic review and meta-regression analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2012
    Pooled it
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  7. Personal utility and genomic information: look before you leap.Genetics in medicine : official journal of the American College of Medical Genetics · 2009
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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

6 authors at 3 institutions in 1 country.

Karen L SabanCenter for Management of Chronic Complex Care, Edward Hines Jr. VA Hospital, P.O. Box 5000 (151H), Hines, IL, 60141, USA. Karen.Saban@va.gov
Kevin T Stroupe
Fred B Bryant
Domenic J Reda
Margaret M Browning
Denise M Hynes
Edward Hines, Jr. VA Hospital · USLoyola University Chicago · USThe Coordinating Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have found that health-related quality of life (HRQOL) measurements with different conceptual bases yield widely varying results within the same study sample. Using data from a cohort of patients with chronic kidney failure, the purpose of this study was to compare the Quality of Well-Being Scale-Self-Administered (QWB-SA), the Short-Form-6D (SF-6D), and the Kidney Disease Component Summary (KDCS).

methodsBaseline data from a multi-site prospective observational study of 322 veterans receiving hemodialysis were analyzed. Descriptive statistics were calculated. Confirmatory factor analysis was conducted to determine how closely the three HRQOL tools reflected the same underlying construct.

resultsOur confirmatory factor analysis offered strong evidence that the subscales of the QWB-SA, SF-6D, and 7-subscale KDCS measured more than one factor in this study sample. In the three-factor model, the SF-6D and 7-subscale KDCS correlated .911 (P < .05), indicating 83% of the variance in the 7-subscale KDCS was correlated with the SF-6D. However, a two-factor model, in which the highly correlated SF-6D and 7-subscale KDCS were combined, fit the data almost as well as the three-factor model.

conclusionThe three HRQOL measures addressed different underlying HRQOL constructs in this sample. The QWB-SA was significantly different from the SF-6D and KDCS.

Indexed as

Adaptation, PsychologicalAdultAgedAged, 80 and overFemaleHumansKidney Failure, ChronicMaleMiddle AgedModels, TheoreticalProspective StudiesPsychometricsQuality of LifeRenal Dialysis

Identifiers

PMID18791810
OpenAlexW2010902057

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.