Evidence map›Paper›PMID 22782690›Full record

ArticleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation2013

Mapping of the PDQ-39 to EQ-5D scores in patients with Parkinson's disease.

Megan K Young, Shu-Kay Ng, George Mellick, Paul A Scuffham

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Article in Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
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13citing papers in PubMed, 2 pooled it
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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

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3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Megan K YoungSchool of Medicine, Population and Social Health Research Group, GHI, Griffith University, Logan Campus, University Drive, Meadowbrook, QLD, 4131, Australia. megan.young@griffith.edu.au
Shu-Kay Ng
George Mellick
Paul A Scuffham

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe EuroQoL (EQ-5D) is ideal to compare quality of life across conditions. However, the Parkinson's Disease Questionnaire (PDQ-39) is often the only quality-of-life instrument used in Parkinson's disease research. We aimed to identify associations between PDQ-39 domains and EQ-5D domains, and compare different methods of developing a function to map the PDQ-39 to EQ-5D scores.

methodsAdults with Parkinson's disease self-completed both instruments. Ordinal regression identified associations between PDQ-39 domain scores and each EQ-5D domain. Modeling (n = 80) and validation sets (n = 16) were randomly generated. Overall performance of four methods of mapping the PDQ-39 to EQ-5D scores (using PDQ-39 domains and total score in ordinal and linear regression) was assessed with the validation set, followed by assessing the equivalence of observed and predicted EQ-5D scores on the full dataset controlling for sociodemographic factors.

resultsDifferent sets of PDQ-39 domains were associated with each EQ-5D domain. For example, PDQ-39 "Activities of Daily Living" and "Social Support" were associated with EQ-5D "Personal Care," while PDQ-39 "Emotional Well-being" was associated with EQ-5D "Anxiety/Depression." Over one-third (37.5 %) of predictions from ordinal regressions had an error <0.01 % (compared to 6.3 % for linear regressions). The EQ-5D scores predicted with ordinal regression using PDQ-39 domains were similar in distribution and association with sociodemographic factors to the observed EQ-5D scores.

conclusionsOf the four methods tested, using PDQ-39 domains in ordinal regression was superior for mapping EQ-5D scores. The function reported here may prove particularly useful for cost-utility analyses comparing Parkinson's disease with other conditions.

Indexed as

Health StatusQuality of LifeSickness Impact ProfileActivities of Daily LivingAdultAgedAged, 80 and overCross-Sectional StudiesFemaleHumansLanguageLinear ModelsMaleMental HealthMiddle AgedParkinson Disease

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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 OpenQuestion graph.