Evidence map›Paper›PMID 34749736›Full record

ArticleJournal of translational medicine2021

mapMECFS: a portal to enhance data discovery across biological disciplines and collaborative sites.

Ravi Mathur, Megan U Carnes, Alexander Harding, Amy Moore, Ian Thomas, Alex Giarrocco, Michael Long, Marcia Underwood, Christopher Townsend, Roman Ruiz-Esparza and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 53% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. 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

13 authors at 1 institution in 1 country.

Ravi Mathur *Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0001-6785-0032
Megan U Carnes *Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0002-7270-132X
Alexander HardingCenter for Data Science, RTI International, Research Triangle Park, NC, USA.
Amy MooreBiostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0002-5083-0577
Ian ThomasCenter for Data Science, RTI International, Research Triangle Park, NC, USA.
Alex GiarroccoCenter for Data Science, RTI International, Research Triangle Park, NC, USA.
Michael LongCenter for Data Science, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0002-8248-6651
Marcia UnderwoodCenter for Data Science, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0001-7600-6394
Christopher TownsendCenter for Data Science, RTI International, Research Triangle Park, NC, USA.
Roman Ruiz-EsparzaCenter for Data Science, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0001-8114-0723
Quinn BarnetteBiostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0001-9832-6460
Linda Morris BrownBiostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.ORCID 0000-0002-2181-9627
Matthew SchuBiostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA. mschu@rti.org.ORCID 0000-0003-0630-1026
RTI International · US

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 NS105535NINDS NIH HHS U24NS105535
6 · The paper itself

Abstract

backgroundMyalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a debilitating disease which involves multiple body systems (e.g., immune, nervous, digestive, circulatory) and research domains (e.g., immunology, metabolomics, the gut microbiome, genomics, neurology). Despite several decades of research, there are no established ME/CFS biomarkers available to diagnose and treat ME/CFS. Sharing data and integrating findings across these domains is essential to advance understanding of this complex disease by revealing diagnostic biomarkers and facilitating discovery of novel effective therapies.

methodsThe National Institutes of Health funded the development of a data sharing portal to support collaborative efforts among an initial group of three funded research centers. This was subsequently expanded to include the global ME/CFS research community. Using the open-source comprehensive knowledge archive network (CKAN) framework as the base, the ME/CFS Data Management and Coordinating Center developed an online portal with metadata collection, smart search capabilities, and domain-agnostic data integration to support data findability and reusability while reducing the barriers to sustainable data sharing.

resultsWe designed the mapMECFS data portal to facilitate data sharing and integration by allowing ME/CFS researchers to browse, share, compare, and download molecular datasets from within one data repository. At the time of publication, mapMECFS contains data curated from public data repositories, peer-reviewed publications, and current ME/CFS Research Network members.

conclusionsmapMECFS is a disease-specific data portal to improve data sharing and collaboration among ME/CFS researchers around the world. mapMECFS is accessible to the broader research community with registration. Further development is ongoing to include novel systems biology and data integration methods.

Indexed as

Fatigue Syndrome, ChronicGastrointestinal MicrobiomeBiomarkersHumansMetabolomicsUnited StatesBiomarkersChronic fatigue syndromeComprehensive Knowledge Archive Network (CKAN)Data integrationData Sharing PortalMulti-omicsMyalgic encephalomyelitis

Identifiers

PMID34749736
PMCPMC8576927
OpenAlexW3162789769

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.