ArticleBone marrow transplantation2018
Accuracy and usability of the eGVHD app in assessing the severity of graft-versus-host disease at the 2017 EBMT annual congress.
Article in Bone marrow transplantation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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
15 citing papers in PubMed.
- The eGVHD App has the potential to improve the accuracy of graft-versus-host disease assessment: a multicenter randomized controlled trial.Haematologica · 2018Trial
- NIH Chronic Graft-Versus-Host Disease Consensus Conference 2025 Update.Transplantation and cellular therapy · 2025Review
- Modern-Era Challenges in the Clinical Management of Graft-Versus-Host Disease.Advances in experimental medicine and biology · 2025Review
- Understanding the Needs and Lived Experiences of Patients With Graft-Versus-Host Disease: Real-World European Public Social Media Listening Study.JMIR cancer · 2023Article
- Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis.JAMIA open · 2023Review
- Acute graft-versus-host disease.Nature reviews. Disease primers · 2023Review
- Expanding Personalized, Data-Driven Dermatology: Leveraging Digital Health Technology and Machine Learning to Improve Patient Outcomes.JID innovations : skin science from molecules to population health · 2022Review
- National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: IV. The 2020 Highly morbid forms report.Transplantation and cellular therapy · 2021Article
- Methods to Assess Disease Activity and Severity in Cutaneous Chronic Graft-versus-Host Disease: A Critical Literature Review.Transplantation and cellular therapy · 2021Review
- National Institutes of Health Consensus Development Project on Criteria for Clinical Trials in Chronic Graft-versus-Host Disease: IIa. The 2020 Clinical Implementation and Early Diagnosis Working Group Report.Transplantation and cellular therapy · 2021Article
- How to Make an Immune System and a Foreign Host Quickly Cohabit in Peace? The Challenge of Acute Graft-Frontiers in immunology · 2020Review
- Establishing a standardized system for review and adjudication of chronic graft-vs-host disease data in accordance with the National Institutes Consensus criteria.Advances in cell and gene therapy · 2019Article
- Challenges in Conducting Studies in Chronic Graft-Clinical hematology international · 2019Review
- EBMT-NIH-CIBMTR Task Force position statement on standardized terminology & guidance for graft-versus-host disease assessment.Bone marrow transplantation · 2018Article
- Development and professional validation of an App to support Oral Cancer Screening.Brazilian dental journalArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
29330389What 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.