ArticleDatabase : the journal of biological databases and curation2019
The Sickle Cell Disease Ontology: enabling universal sickle cell-based knowledge representation.
Article in Database : the journal of biological databases and curation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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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.
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Who cites it
19 citing papers in PubMed.
- FAIR data gaps and collaboration willingness among hemoglobinopathy research centers.Scientific data · 2026Article
- Experience in the adoption of Research Electronic Data Capture (REDCap) as a tool for medical research in Tanzania.medRxiv : the preprint server for health sciences · 2025Article
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- Article
- Let's Not Keep Acute Chest Syndrome Under an Umbrella.American journal of respiratory and critical care medicine · 2025Article
- The Ugandan sickle Pan-African research consortium registry: design, development, and lessons.BMC medical informatics and decision making · 2024Article
- A Comparative Analysis of Hydroxyurea Treatment on Coagulation Profile Among Sickle Cell Anaemia Children in Lagos, Nigeria.Advances in hematology · 2024Article
- Attitudes Toward Personal Health Data Sharing Among People Living With Sickle Cell Disorder, Exemplar for Study of Rare Disease Populations.Journal of patient-centered research and reviews · 2023Article
- Development of the sickle Pan-African research consortium registry in Tanzania: opportunity to harness data science for sickle cell disease.Frontiers in hematology · 2023Article
- Iron stores in steady-state sickle cell disease children accessing care at a sickle cell disease clinic in Kumasi, Ghana: A cross-sectional study.Health science reports · 2022Article
- The Sickle Cell Disease Ontology: recent development and expansion of the universal sickle cell knowledge representation.Database : the journal of biological databases and curation · 2022Article
- Skills Capacity Building For Health Care Services and Research Through the Sickle Pan African Research Consortium.Frontiers in genetics · 2022Article
- Antenatal screenings and maternal diagnosis among pregnant women in Sao Tome & Principe-Missed opportunities to improve neonatal health: A hospital-based study.PLOS global public health · 2022Article
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- The International Hemoglobinopathy Research Network (INHERENT): An international initiative to study the role of genetic modifiers in hemoglobinopathies.American journal of hematology · 2021Article
- Sickle cell disease is a global prototype for integrative research and healthcare.Advanced genetics (Hoboken, N.J.) · 2021Article
- The Sickle Cell Disease Ontology: Enabling Collaborative Research and Co-Designing of New Planetary Health Applications.Omics : a journal of integrative biology · 2020Article
- Patient-centric research in the time of COVID-19: conducting ethical COVID-19 research in Africa.BMJ global health · 2020Article
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Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
Sickle cell disease (SCD) is one of the most common monogenic diseases in humans with multiple phenotypic expressions that can manifest as both acute and chronic complications. Although described more than a century ago, challenges in comprehensive disease management and collaborative research on this disease are compounded by the complex molecular and clinical phenotypes of SCD, environmental and psychosocial factors, limited therapeutic options and ambiguous terminology. This ambiguous terminology has hampered the integration and interoperability of existing SCD knowledge, and SCD research translation. The SCD Ontology (SCDO), which is a community-driven integrative and universal knowledge representation system for SCD, overcomes this issue by providing a controlled vocabulary developed by a group of experts in both SCD and ontology design. SCDO is the first and most comprehensive standardized human- and machine-readable resource that unambiguously represents terminology and concepts about SCD for researchers, patients and clinicians. It is built around the central concept 'hemoglobinopathy', allowing inclusion of non-SCD haemoglobinopathies, such as thalassaemias, which may interfere with or influence SCD phenotypic manifestations. This collaboratively developed ontology constitutes a comprehensive knowledge management system and standardized terminology of various SCD-related factors. The SCDO will promote interoperability of different research datasets, facilitate seamless data sharing and collaborations, including meta-analyses within the SCD community, and support the development and curation of data-basing and clinical informatics in SCD.
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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 Socratic graph.