Evidence map›Paper›PMID 35363306›Full record

ArticleDatabase : the journal of biological databases and curation2022

The Sickle Cell Disease Ontology: recent development and expansion of the universal sickle cell knowledge representation.

Gaston K Mazandu, Jade Hotchkiss, Victoria Nembaware, Ambroise Wonkam, Nicola Mulder

Open access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. [Rare-disease data standards].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2022
    Review
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

5 authors at 1 institution in 1 country.

Gaston K MazanduDepartment of Pathology, Division of Human Genetics, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory 7925, South Africa.ORCID 0000-0002-6441-8006
Jade HotchkissDepartment of Pathology, Division of Human Genetics, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory 7925, South Africa.
Victoria NembawareDepartment of Pathology, Division of Human Genetics, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory 7925, South Africa.
Ambroise WonkamDepartment of Pathology, Division of Human Genetics, University of Cape Town, Health Sciences Campus, Anzio Rd, Observatory 7925, South Africa.ORCID 0000-0003-1420-9051
Nicola MulderDepartment of Integrative Biomedical Sciences, Computational Biology Division, IDM, CIDRI-Africa WT Centre, University of Cape Town, Health Sciences Campus. Anzio Rd, Observatory 7925, South Africa.
University of Cape Town · ZA

Funding

H3ABioNet: informatics solutions for H3AfricaU24HG006941 · NHGRI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA · 2017 to 2021
$12.9M
Sickle Africa Data Coordinating CenterU24HL135600 · NHLBI · UNIVERSITY OF CAPE TOWN · PI MULDER, NICOLA, WONKAM, AMBROISE · 2017 to 2025
$8.6M
NHGRI NIH HHS U24 HG006941NHLBI NIH HHS U24 HL135600NIH HHS U24HG006941NIH HHS U24HL135600
6 · The paper itself

Abstract

The Sickle Cell Disease (SCD) Ontology (SCDO, https://scdontology.h3abionet.org/) provides a comprehensive knowledge base of SCD management, systems and standardized human and machine-readable resources that unambiguously describe terminology and concepts about SCD for researchers, patients and clinicians. The SCDO was launched in 2016 and is continuously updated in quantity, as well as in quality, to effectively support the curation of SCD research, patient databasing and clinical informatics applications. SCD knowledge from the scientific literature is used to update existing SCDO terms and create new terms where necessary. Here, we report major updates to the SCDO, from December 2019 until April 2021, for promoting interoperability and facilitating SCD data harmonization, sharing and integration across different studies and for retrospective multi-site research collaborations. SCDO developers continue to collaborate with the SCD community, clinicians and researchers to improve specific ontology areas and expand standardized descriptions to conditions influencing SCD phenotypic expressions and clinical manifestations of the sickling process, e.g. thalassemias. Database URL: https://scdontology.h3abionet.org/.

Indexed as

Anemia, Sickle CellDatabases, FactualHumansKnowledge BasesPhenotypeRetrospective Studies

Identifiers

PMID35363306
PMCPMC9216550
OpenAlexW4226392228

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.