Evidence map›Paper›PMID 29164493›Full record

ArticleThe patient2018

Mapping Quality of Life (EQ-5D) from DAPsA, Clinical DAPsA and HAQ in Psoriatic Arthritis.

Tomas Mlcoch, Jan Tuzil, Liliana Sedova, Jiri Stolfa, Monika Urbanova, David Suchy, Andrea Smrzova, Jitka Jircikova, Tereza Hrnciarova, Karel Pavelka and 1 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in The patient, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 5 institutions in 2 countries.

Tomas MlcochInstitute of Health Economics and Technology Assessment, Vaclavska 316/12, 12000, Prague 2, Czech Republic. mlcoch@iheta.org.ORCID 0000-0002-7716-8819
Jan TuzilInstitute of Health Economics and Technology Assessment, Vaclavska 316/12, 12000, Prague 2, Czech Republic.ORCID 0000-0002-7182-4010
Liliana SedovaInstitute of Rheumatology, Prague, Czech Republic.
Jiri StolfaInstitute of Rheumatology, Prague, Czech Republic.
Monika UrbanovaInstitute of Rheumatology, Prague, Czech Republic.
David SuchyDepartment of Clinical Pharmacology, Rheumatology, University Hospital Plzen, Plzen, Czech Republic.
Andrea SmrzovaThird Internal Clinic, University Hospital Olomouc, Olomouc, Czech Republic.
Jitka JircikovaInstitute of Health Economics and Technology Assessment, Vaclavska 316/12, 12000, Prague 2, Czech Republic.
Tereza HrnciarovaInstitute of Health Economics and Technology Assessment, Vaclavska 316/12, 12000, Prague 2, Czech Republic.
Karel PavelkaInstitute of Rheumatology, Prague, Czech Republic.
Tomas DolezalInstitute of Health Economics and Technology Assessment, Vaclavska 316/12, 12000, Prague 2, Czech Republic.
Charles University · CZInstitute of Rheumatology · CZInstitute of Health Economics · CAUniversity Hospital Olomouc · CZUniversity Hospital Plzen · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundClinical trials and observational studies lacking measures of health-related quality of life (QoL) are often inapplicable when conducting cost-effectiveness analyses using quality-adjusted life-years (QALYs). The only solution is to map QoL ex post from additionally collected clinical outcomes and generic QoL instruments. Nonetheless, mapping studies are absent in psoriatic arthritis (PsA).

methodsIn this 2-year, prospective, multicentre, non-interventional study of PsA patients, EQ-5D and key clinical parameters such as Disease Activity in PsA (DAPsA), clinical DAPsA (cDAPsA; DAPsA without C-reactive protein [CRP]), and Health Assessment Questionnaire disability index (HAQ) were collected. We employed a linear mixed-effect regression model (ME) of the longitudinal dataset to explore the best predictors of QoL.

resultsA total of 228 patients were followed over 873 appointments/observations. DAPsA, cDAPsA and HAQ were stable and highly significant predictors of EQ-5D utilities in both cross-sectional and longitudinal analyses. The best prediction was provided using a linear ME with HAQ and cDAPsA or DAPsA. A HAQ increase of 1 point represented a decrease in EQ-5D by -0.204 or -0.203 (p < 0.0001); a one-point increase in cDAPsA or DAPsA dropped EQ-5D equally by -0.005 (p < 0.0001). The ME revealed steeper and more accurate association compared with cross-sectional regressions or non-linear models/transformations.

conclusionsThis is the first mapping study conducted in PsA and we hope that our study will encourage further mapping studies in PsA. The results showed that in cases where CRP is absent, cDAPsA provides similar results to DAPsA in predicting QoL.

Indexed as

Health StatusQuality-Adjusted Life YearsAdultAgedArthritis, PsoriaticCross-Sectional StudiesDisability EvaluationFemaleHealth SurveysHumansMaleMiddle AgedProspective StudiesQuality of LifeSeverity of Illness Index

Identifiers

PMID29164493
OpenAlexW2770378981

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.