Evidence mapPaperPMID 31384449Full record

ArticleClinical kidney journal2019

Screening questions for the diagnosis of restless legs syndrome in hemodialysis.

David Collister, Jennifer C Rodrigues, Andrea Mazzetti, Kelsi Salisbury, Laura Morosin, Christian Rabbat, K Scott Brimble, Michael Walsh

Open access · goldAbstract read
In one paragraph

Article in Clinical kidney journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Trial
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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

8 authors at 3 institutions in 1 country.

David CollisterDepartment of Medicine, McMaster University, Hamilton, Canada.
Jennifer C RodriguesDepartment of Medicine, McMaster University, Hamilton, Canada.
Andrea MazzettiSt Joseph's Healthcare Hamilton, Hamilton, Canada.
Kelsi SalisburySt Joseph's Healthcare Hamilton, Hamilton, Canada.
Laura MorosinSt Joseph's Healthcare Hamilton, Hamilton, Canada.
Christian RabbatDepartment of Medicine, McMaster University, Hamilton, Canada.
K Scott BrimbleDepartment of Medicine, McMaster University, Hamilton, Canada.
Michael WalshDepartment of Medicine, McMaster University, Hamilton, Canada.
St. Joseph’s Healthcare Hamilton · CAImpact · CAMcMaster University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRestless legs syndrome (RLS) is common in end-stage renal disease and is associated with reduced health-related quality of life. Simple and accurate screening instruments are needed since RLS is underdiagnosed and treatable. We examined the operating characteristics of screening questions and a disease-specific measurement tool for the diagnosis of RLS in hemodialysis.

methodsWe conducted a cohort study of prevalent adult hemodialysis patients in Hamilton, Canada. The diagnosis of RLS was made using the 2012 Revised International Restless Legs Syndrome Study Group (IRLSSG) criteria. All participants received three screening instruments: (i) a single screening question for RLS derived from a nondialysis population; (ii) a single question from the Edmonton Symptom Assessment System (ESAS); and (iii) the IRLSSG Rating Scale (IRLS). All instruments were compared with the reference standard using logistic regression from which receiver operating characteristics curves were generated. Cutoffs associated with maximum performance were identified.

resultsWe recruited 50 participants with a mean (SD) age of 64 (12.4) years, of whom 52% were male and 92% were on three times weekly hemodialysis. Using the reference standard, 14 (28%) had a diagnosis of RLS. The single screening question for RLS had an area under the receiver operating curve (AUROC) of 0.72 with a sensitivity of 85.7% and specificity of 58.3%. An ESAS cutoff of ≥1 had the highest AUROC at 0.65 with a sensitivity of 79% and specificity of 56%. An IRLS cutoff of ≥20 had the highest AUROC at 0.75 with a sensitivity of 71% and specificity of 81%.

conclusionIRLS had better specificity than the single question or ESAS for the diagnosis of RLS.

Indexed as

patient-reported outcome measuresrestless legs syndromescreening

Identifiers

PMID31384449
PMCPMC6671522
OpenAlexW2906163619

What Socratic holds

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Registered trials

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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 Socratic graph.