SynthesisQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2023
Assessing the psychometric properties of quality of life measures in individuals with amyotrophic lateral sclerosis: a systematic review.
Synthesis in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Measuring Health-Related Quality of Life in Amyotrophic Lateral Sclerosis: A Systematic Review and Conceptual Framework.Neurology · 2024Pooled it
- Health-Related Quality of Life, Psychological Health, and Patient-Reported Outcomes of Amyotrophic Lateral Sclerosis Patients in China.Brain sciences · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAmyotrophic lateral sclerosis (ALS) is the most common motor neuron disease in adults. There are many patient-reported outcome measures (PROMs) for measuring quality of life (QoL) and health-related QoL (HRQoL) within this population; however, there is limited consensus regarding which are most valid, reliable, responsive, and interpretable. This systematic review assesses the psychometric properties and interpretability of QoL and HRQoL PROMs for individuals with ALS.
methodsThis review was conducted following the Consensus-based Standards for the selection of health Measurement Instruments (COSMIN) methodology for systematic reviews of PROMs. MEDLINE, EMBASE, and CINAHL databases were searched. Studies were included if their aim was to evaluate one or more psychometric properties or the interpretability of QoL or HRQoL PROMs in individuals with ALS.
resultsWe screened 2713 abstracts, reviewed 60 full-text articles, and included 37 articles. Fifteen PROMs were evaluated including generic HRQoL (e.g., SF-36), ALS-specific HRQoL (e.g., ALSAQ-40), and individualized QoL (e.g., SEIQoL) measures. Evidence for internal consistency and test-retest reliability were acceptable. For convergent validity, 84% of hypotheses were met. For known-groups validity, outcomes were able to distinguish between healthy cohorts and other conditions. Responsiveness results ranged from low to high correlations with other measures over 3-24 months. Evidence for content validity, structural validity, measurement error, and divergent validity was limited.
conclusionThis review identified evidence in support of the ALSAQ-40 or ALSAQ-5 for individuals with ALS. These findings can guide healthcare practitioners when selecting evidence-based QoL and HRQoL PROMs for patients and provide researchers with insight into gaps in the literature.
Indexed as
Identifiers
36881218What OpenQuestion holds
Registered trials
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.