ArticleBlood advances2018
Identification of patients with hemoglobin SS/Sβ
Article in Blood advances, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Classifying Sickle Cell Disease Subtypes from Clinical Reports: Algorithm Validation and ICD-10 Accuracy Assessment in Five French Hospitals.Journal of medical systems · 2026Article
- Accurate identification of sickle cell disease cases in a large genotyped cohort using electronic health record data.Blood advances · 2026Article
- High concordance of physician-attestation with manual data abstraction for sickle cell type: an ASH RC Data Hub study.Blood advances · 2026Article
- Targeting astrocyte-monocyte-neuron crosstalk in spinal cord injury: therapeutic insights from methyl gallate.Spinal cord · 2026Article
- Accelerating novel therapies for sickle cell disease with RWE: ASH RC Data Hub as a strategically coordinated registry network.Blood advances · 2026Article
- Genotype Differences and Hydroxyurea Utilization Among Adults With Moderate to Severe Sickle Cell Disease.Pharmacotherapy · 2026Article
- Comparing super-utilizers and lower-utilizers among commercial- and Medicare-insured adults with sickle cell disease.Blood advances · 2024Article
- Acute care utilization among individuals with sickle cell disease and related cardiopulmonary and renal complications.PloS one · 2024Article
- Creating an automated contemporaneous cohort in sickle cell anemia to predict survival after disease-modifying therapy.Blood advances · 2023Article
- The use of FDA-approved medications for preventing vaso-occlusive events in sickle cell disease.Blood advances · 2023Article
- Evaluating the Discriminatory Ability of the Sickle Cell Data Collection Program's Administrative Claims Case Definition in Identifying Adults With Sickle Cell Disease: Validation Study.JMIR public health and surveillance · 2023Article
- Real-World Evidence on Disease Burden and Economic Impact of Sickle Cell Disease in Italy.Journal of clinical medicine · 2022Article
- Surveillance for the Rare Condition of Sickle Cell Disease in Wisconsin.WMJ : official publication of the State Medical Society of Wisconsin · 2022Article
- COVID-19 and venous thromboembolism risk in patients with sickle cell disease.Blood advances · 2022Article
- Administrative data identify sickle cell disease: A critical review of approaches in U.S. health services research.Pediatric blood & cancer · 2020Review
- Review of Clinical Research Informatics.Yearbook of medical informatics · 2020Review
- Increasing Visibility of Sickle Cell Disease in Indiana: Establishing Baseline Prevalence Using Integrated Data From Multiple Sources.Public health reports (Washington, D.C. : 1974)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Electronic health records (EHRs) are a source of big data that provide opportunities for conducting population-based studies and creating learning health systems, especially for rare conditions such as sickle cell disease (SCD). The objective of our study is to validate algorithms for accurate identification of patients with hemoglobin (Hb) SS/Sβ
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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 OpenQuestion graph.