Evidence map›Paper›PMID 35816681›Full record

ArticleJMIR research protocols2022

The Facilitation of Clinical and Therapeutic Discoveries in Myalgic Encephalomyelitis/Chronic Fatigue Syndrome and Related Diseases: Protocol for the You + ME Registry Research Platform.

Allison Ramiller, Kathleen Mudie, Elle Seibert, Sadie Whittaker

Registry-linked trialAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04806620 (Unhide® Project Also Known as The Unhide® Solve Together Unified Platform), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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.

NCT04806620 recruitingnot on this mapstarted 2023, after this paper: background citation

Unhide® Project Also Known as The Unhide® Solve Together Unified Platform

Typeobservational_patient_registrySponsorBrain Inflammation CollaborativeRan2023 to 2030Enrolled10,000ConditionsPost-Acute COVID-19 Syndrome, ME/CFS, Rheumatic Arthritis, Juvenile Rheumatoid Arthritis (JRA)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Allison RamillerSolve ME/CFS Initiative, Glendale, CA, United States.ORCID https://orcid.org/0000-0002-3928-6494
Kathleen MudieSolve ME/CFS Initiative, Glendale, CA, United States.ORCID https://orcid.org/0000-0001-7950-8680
Elle SeibertSolve ME/CFS Initiative, Glendale, CA, United States.ORCID https://orcid.org/0000-0001-6262-3965
Sadie WhittakerSolve ME/CFS Initiative, Glendale, CA, United States.ORCID https://orcid.org/0000-0002-5686-2959

Funding

DMCC for ME/CFS: Recompete 2022 + CDE Admin SupplementU24NS105535 · NINDS · RESEARCH TRIANGLE INSTITUTE · PI Linda Morris Brown, Megan Carnes · 2017 to 2026
$9.9M
NINDS NIH HHS U24 NS105535
6 · The paper itself

Abstract

backgroundMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a chronic, complex, heterogeneous disease that affects millions and lacks both diagnostics and treatments. Big data, or the collection of vast quantities of data that can be mined for information, have transformed the understanding of many complex illnesses, such as cancer and multiple sclerosis, by dissecting heterogeneity, identifying subtypes, and enabling the development of personalized treatments. It is possible that big data can reveal the same for ME/CFS.

objectiveThis study aims to describe the protocol for the You + ME Registry, present preliminary results related to participant enrollment and satisfaction, and discuss the limitations of the registry as well as next steps.

methodsWe developed and launched the You + ME Registry to collect longitudinal health data from people with ME/CFS, people with long COVID (LC), and control volunteers using rigorous protocols designed to harmonize with other groups collecting data from similar groups of people.

resultsAs of September 30, 2021, the You + ME Registry had over 4200 geographically diverse participants (3033/4339, 69.9%, people with ME/CFS; 833/4339, 19.2%, post-COVID-19 people; and 473/4339, 10.9%, control volunteers), with an average of 72 new people registered every week. It has qualified as "great" using a net promotor score, indicating registrants are likely to recommend the registry to a friend. Analyses of collected data are currently underway, and preliminary findings are expected in the near future.

conclusionsThe You + ME Registry is an invaluable resource because it integrates with a symptom-tracking app, as well as a biorepository, to provide a robust and rich data set that is available to qualified researchers. Accordingly, it facilitates collaboration that may ultimately uncover causes and help accelerate the development of therapies.

trial registrationClinicalTrials.gov NCT04806620; https://clinicaltrials.gov/ct2/show/NCT04806620. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/36798.

Indexed as

chronic fatigue syndromeCOVID-19data acquisition sourcedigital healthhealth applicationlong COVIDlongitudinal cohort studylongitudinal health datamobile healthmyalgic encephalomyelitis/chronic fatigue syndromepatient poweredpostinfectioussymptom-tracking app

Identifiers

PMID35816681
PMCPMC9369615

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Registered trials

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.