ReviewExpert review of medical devices2016
Emerging point-of-care technologies for sickle cell disease screening and monitoring.
Review in Expert review of medical devices, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06019208 (Genomics and Personalized Medicine for All Though Artificial Intelligence in Haematological Diseases), which is not on this map. Cited by 28 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.
Genomics and Personalized Medicine for All Though Artificial Intelligence in Haematological Diseases
Who cites it
28 citing papers in PubMed, 65 citations in OpenAlex.
- Acoustic probing of new biomarkers for rapid sickle cell disease screening.Lab on a chip · 2026Article
- Validation of the Gazelle point-of-care device for hemoglobin variant analysis in a predominantly pediatric population: performance comparison with conventional electrophoresis.Frontiers in medicine · 2026Article
- Sickle Cell Disease and Gene Therapy Among African Americans: A Dilemma and Challenge.Journal of racial and ethnic health disparities · 2025Review
- The role of nucleation in sickle cell pathophysiology: opportunities for innovative treatments.Annals of medicine and surgery (2012) · 2025Review
- Article
- Roles of Pharmacists in the Management of Sickle Cell Disease in Adults: A Narrative Review.The Journal of pharmacy technology : jPT : official publication of the Association of Pharmacy Technicians · 2024Review
- Assessment of transition readiness to predict health care utilization during transition to adult care in sickle cell disease.Expert review of hematology · 2022Article
- Multispectral imaging for MicroChip electrophoresis enables point-of-care newborn hemoglobin variant screening.Heliyon · 2022Article
- OcclusionChip: A functional microcapillary occlusion assay complementary to ektacytometry for detection of small-fraction red blood cells with abnormal deformability.Frontiers in physiology · 2022Article
- Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin.PLoS computational biology · 2021Article
- Point-of-care microchip electrophoresis for integrated anemia and hemoglobin variant testing.Lab on a chip · 2021Article
- Combining microfluidics with machine learning algorithms for RBC classification in rare hereditary hemolytic anemia.Scientific reports · 2021Article
- The flow of sickle blood in glass capillaries: Fundamentals and potential applications.Biophysical journal · 2021Article
- Emerging point-of-care technologies for anemia detection.Lab on a chip · 2021Review
- Techniques for the Detection of Sickle Cell Disease: A Review.Micromachines · 2021Review
- Association of lactate dehydrogenase with mortality in incident hemodialysis patients.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2021Article
- A retrospective case study of successful translational research: Gazelle Hb variant point-of-care diagnostic device for sickle cell disease.Journal of clinical and translational science · 2021Article
- Whole blood viscosity and red blood cell adhesion: Potential biomarkers for targeted and curative therapies in sickle cell disease.American journal of hematology · 2020Article
- Smartphone-based sickle cell disease detection and monitoring for point-of-care settings.Biosensors & bioelectronics · 2020Article
- Deep learning-based cell identification and disease diagnosis using spatio-temporal cellular dynamics in compact digital holographic microscopy.Biomedical optics express · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
introductionSickle Cell Disease (SCD) affects 100,000 Americans and more than 14 million people globally, mostly in economically disadvantaged populations, and requires early diagnosis after birth and constant monitoring throughout the life-span of the patient. Areas covered: Early diagnosis of SCD still remains a challenge in preventing childhood mortality in the developing world due to requirements of skilled personnel and high-cost of currently available modalities. On the other hand, SCD monitoring presents insurmountable challenges due to heterogeneities among patient populations, as well as in the same individual longitudinally. Here, we describe emerging point-of-care micro/nano platform technologies for SCD screening and monitoring, and critically discuss current state of the art, potential challenges associated with these technologies, and future directions. Expert commentary: Recently developed microtechnologies offer simple, rapid, and affordable screening of SCD and have the potential to facilitate universal screening in resource-limited settings and developing countries. On the other hand, monitoring of SCD is more complicated compared to diagnosis and requires comprehensive validation of efficacy. Early use of novel microdevices for patient monitoring might come in especially handy in new clinical trial designs of emerging therapies.
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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.