ArticleAnnals of the rheumatic diseases2018
Rheumatology 4.0: big data, wearables and diagnosis by computer.
Article in Annals of the rheumatic diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Wearable Health Devices in Health Care: Narrative Systematic Review.JMIR mHealth and uHealth · 2020Pooled it
- Artificial Intelligence in Rheumatology: Quo Vadis?Mediterranean journal of rheumatology · 2025Article
- Artificial intelligence in autoimmune diseases: a bibliometric exploration of the past two decades.Frontiers in immunology · 2025Review
- E-health as a sine qua non for modern healthcare.RMD open · 2022Article
- Article
- A broad look into the future of rheumatoid arthritis.Therapeutic advances in musculoskeletal disease · 2022Review
- An introduction to machine learning and analysis of its use in rheumatic diseases.Nature reviews. Rheumatology · 2021Review
- A hypothetical future in rheumatology: will we miss steroids in a steroid free-world?Rheumatology international · 2021Article
- Managing patients using telerheumatology: Lessons from a pandemic.Best practice & research. Clinical rheumatology · 2021Review
- Digital rheumatology in the era of COVID-19: results of a national patient and physician survey.RMD open · 2021Article
- Digital health technologies: opportunities and challenges in rheumatology.Nature reviews. Rheumatology · 2020Review
- Big data and data processing in rheumatology: bioethical perspectives.Clinical rheumatology · 2020Review
- Computer-aided diagnosis in rheumatic diseases using ultrasound: an overview.Clinical rheumatology · 2020Review
- Applied machine learning and artificial intelligence in rheumatology.Rheumatology advances in practice · 2020Review
- [Use of medical apps and online platforms among German rheumatologists : Results of the 2016 and 2018 DGRh conference surveys and research conducted by rheumadocs].Zeitschrift fur Rheumatologie · 2019Article
- German Mobile Apps in Rheumatology: Review and Analysis Using the Mobile Application Rating Scale (MARS).JMIR mHealth and uHealth · 2019Article
- Real-world evidence in rheumatic diseases: relevance and lessons learnt.Rheumatology international · 2019Review
- From Rheumatology 1.0 to Rheumatology 4.0 and beyond: the contributions of Big Data to the field of rheumatology.Mediterranean journal of rheumatology · 2019Article
- [Mimics in rheumatology : Possibilities for mistakes and differential diagnoses].Zeitschrift fur Rheumatologie · 2019Article
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
What OpenQuestion holds
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.