Evidence map›Paper›PMID 32527863›Full record

ArticleAnnals of the rheumatic diseases2020

Digital crowdsourcing: unleashing its power in rheumatology.

Martin Krusche, Gerd R Burmester, Johannes Knitza

Open access · bronzeAbstract read
In one paragraph

Article in Annals of the rheumatic diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Digital Approaches for Myositis.Current rheumatology reports · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. [Digital diagnostic support in rheumatology].Zeitschrift fur Rheumatologie · 2021
    Review
  10. Article
  11. Digital Health Transition in Rheumatology: A Qualitative Study.International journal of environmental research and public health · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. 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

3 authors at 2 institutions in 1 country.

Martin KruscheRheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany martinkrusche@gmx.de.ORCID 0000-0002-0582-7790
Gerd R BurmesterRheumatology and Clinical Immunology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Johannes KnitzaDepartment of Internal Medicine 3, Friedrich-Alexander-Universitat Erlangen-Nurnberg, Erlangen, Germany.ORCID 0000-0001-9695-0657
Charité - Universitätsmedizin Berlin · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic forces the whole rheumatic and musculoskeletal diseases community to reassemble established treatment and research standards. Digital crowdsourcing is a key tool in this pandemic to create and distil desperately needed clinical evidence and exchange of knowledge for patients and physicians alike. This viewpoint explains the concept of digital crowdsourcing and discusses examples and opportunities in rheumatology. First experiences of digital crowdsourcing in rheumatology show transparent, accessible, accelerated research results empowering patients and rheumatologists.

Indexed as

BetacoronavirusBiomedical ResearchCoronavirus InfectionsCOVID-19CrowdsourcingHumansPandemicsPneumonia, ViralRheumatologySARS-CoV-2health services researchoutcome and process assessment, health careoutcome assessment, health carequality indicators, health care

Identifiers

PMID32527863
PMCPMC7456558
OpenAlexW3034496011

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.