Evidence map›Paper›PMID 29369089›Full record

ReviewCurrent opinion in rheumatology2018

Using technology to support clinical care and research in rheumatoid arthritis.

William G Dixon, Kaleb Michaud

Abstract readReview
In one paragraph

Review in Current opinion in rheumatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

35 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
  2. Remote symptom monitoring integrated into electronic health records: A systematic review.Journal of the American Medical Informatics Association : JAMIA · 2020
    Pooled it
  3. Pooled it
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  6. Trial
  7. Trial
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  9. Article
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  11. Observational
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  16. Observational
  17. Article
  18. Review
  19. Psoriatic arthritis: prospects for the future.Therapeutic advances in musculoskeletal disease · 2022
    Review
  20. Article
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.

William G DixonArthritis Research UK Centre for Epidemiology, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester.
Kaleb MichaudDivision of Rheumatology and Immunology, Department of Medicine, University of Nebraska Medical Center, Omaha, Nebraska and The National Databank for Rheumatic Diseases, Wichita, Kansas, USA.

Funding

Arthritis Research UK
6 · The paper itself

Abstract

purpose of reviewAs digital technology becomes more ubiquitous, understanding the current state-of-the-art in digital information use for clinical care and research for patients with rheumatoid arthritis (RA) is timely and relevant. RECENT

findingsThe opportunities for recording and utilizing high-quality data from rheumatologists are reviewed, as well as opportunities from collecting, integrating and analysing patient-generated data to deliver a step-change in the support and management of RA. SUMMARY: Once greater adoption, standardization and implementation of relevant RA measures are in place within electronic health records (EHRs), patient care will improve and the ability to learn from aggregate experiences increases dramatically. Incorporating passive and patient-reported outcomes into self-management apps and integrating such data into the patient's health record will provide more responsive and better treatment results.

Indexed as

Biomedical ResearchArthritis, RheumatoidBiomedical TechnologyElectronic Health RecordsHumansOutcome Assessment, Health CarePatient CareQuality of Health CareSelf CareSelf-ManagementSoftwareTreatment Outcome

Identifiers

PMID29369089
PMCPMC5895111

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.