Evidence map›Paper›PMID 27863164›Full record

SynthesisArthritis care & research2017

Telerheumatology: A Systematic Review.

John A McDougall, Elizabeth D Ferucci, Janis Glover, Liana Fraenkel

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Arthritis care & research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 7 pooled it
2.5field-weighted citation impact, top 11% 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

77 citing papers in PubMed, 7 syntheses or guidelines pooled it, 179 citations in OpenAlex.

  1. Pooled it
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  3. Guideline
  4. Knowledge Update on the Economic Evaluation of Pacemaker Telemonitoring Systems.International journal of environmental research and public health · 2021
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17 more citing papers are in PubMed but not listed here.

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

4 authors at 2 institutions in 1 country.

John A McDougallYale University, New Haven, Connecticut.
Elizabeth D FerucciAlaska Native Tribal Health Consortium, Anchorage.
Janis GloverYale University, New Haven, Connecticut.
Liana FraenkelYale University, New Haven, Connecticut.
Yale University · USAlaska Native Tribal Health Consortium · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Improving Decision Making in Patients with Rheumatic DiseaseK24AR060231 · NIAMS · YALE UNIVERSITY · PI FRAENKEL, LIANA · 2011 to 2018
$1.2M
NCATS NIH HHS UL1 TR001863NIAMS NIH HHS K24 AR060231
6 · The paper itself

Abstract

objectiveTo identify and summarize the published and gray literature on the use of telemedicine for the diagnosis and management of inflammatory and/or autoimmune rheumatic disease.

methodsWe performed a registered systematic search (CRD42015025382) for studies using MEDLINE (1946 to July 2015), Embase (1974 to July 2015), Web of Science (1900 to July 2015), and Scopus (1946 to July 2015) databases. We included studies that demonstrated the use of telemedicine for diagnosis and/or management of inflammatory/autoimmune rheumatic disease. Following data extraction, we performed a descriptive analysis.

resultsOur literature search identified 1,468 potentially eligible studies. Of these studies, 20 were ultimately included in this review. Studies varied significantly in publication type, quality of evidence, and the reporting of methods. Most demonstrated a high risk of bias. Rheumatoid arthritis was the most commonly studied rheumatic disease (42% of patients). Studies demonstrated conflicting results regarding the effectiveness of telemedicine (18 found it effective, 1 found it effective but possibly harmful, and 1 found it ineffective). A limited number of studies included some component of a cost analysis (n = 6; 16% of patients); all of these found telemedicine to be cost-effective.

conclusionStudies identified by this systematic review generally found telemedicine to be effective for the diagnosis and management of autoimmune/inflammatory rheumatic disease; however, there is limited evidence to support this conclusion. Further studies are needed to determine the best uses of telemedicine for the diagnosis and management of these conditions.

Indexed as

Autoimmune DiseasesCost-Benefit AnalysisEvidence-Based MedicineHealth Care CostsHumansRheumatic DiseasesRheumatologyTelemedicineTreatment Outcome

Identifiers

PMID27863164
PMCPMC5436947
OpenAlexW2550383575

What OpenQuestion holds

Textmetadata
LicenceTDM
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.