Evidence map›Paper›PMID 31832893›Full record

ReviewCurrent rheumatology reports2019

Using Registry Data to Understand Disease Evolution in Inflammatory Myositis and Other Rheumatic Diseases.

Lily Siok Hoon Lim, Brian M Feldman

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current rheumatology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Lupus Cohorts.Rheumatic diseases clinics of North America · 2021
    Review
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

2 authors at 2 institutions in 1 country.

Lily Siok Hoon LimDepartment of Pediatrics, Rady Faculty of Health Sciences, University of Manitoba, 501F-715 McDermot Ave, Winnipeg, Manitoba, R3E 3P4, Canada. llim@chrim.ca.
Brian M FeldmanDivision of Rheumatology, The Hospital for Sick Children, Toronto, Canada.
Hospital for Sick Children · CAUniversity of Manitoba · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewWhile rheumatic disease registries collect longitudinal patient information, longitudinal analytic methods are usually not applied to these data. This review will showcase advances in longitudinal designs/analyses, and ways to leverage digital technologies to recruit and retain more registry participants. RECENT

findingsWe will show how the accelerated cohort and longitudinal multiform methods are more efficient than traditional longitudinal designs. We illustrate how a smartphone app is used to recruit participants for a new rheumatic disease registry in the USA. Examples of newer longitudinal techniques applied in myositis and childhood-onset lupus are also presented. Applying high-efficiency longitudinal design and analysis let investigators leverage the rich registry information collected over time. They allow more sophisticated and precise questions to be asked about the disease course of myositis and other rheumatic diseases, which in turn will inform the practice of clinicians and important decisions made by stakeholders.

Indexed as

RegistriesAdolescentAdultAge DistributionChildCohort StudiesComprehensionDisease ProgressionFemaleHumansIncidenceLongitudinal StudiesMaleMyositisRheumatic DiseasesSeverity of Illness IndexHigh-efficiency longitudinal designLongitudinal analysisLongitudinal cohortsMyositisRegistry

Identifiers

PMID31832893
OpenAlexW2995886011

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.