ReviewCureus2024
A Review of the Regulatory Challenges of Personalized Medicine.
Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- SMART Planning of Early-Stage Health Economic Decision Models for Mechanism-Based Precision Treatments in Rare Cancers: An Application and Tool Update.PharmacoEconomics · 2026Review
- Telmisartan Repurposing Targets Novel Biomarkers for Precision Colorectal Cancer Therapy.Pharmaceutics · 2026Article
- Clinical research in private hospitals: a perspective.Journal of translational medicine · 2026Review
- Integrative Landscape of Dry AMD Pathogenesis, Models, and Emerging Therapeutic Strategies.International journal of molecular sciences · 2025Review
- Precision Oncology: Current Landscape, Emerging Trends, Challenges, and Future Perspectives.Cells · 2025Review
- Src and Abl as Therapeutic Targets in Lung Cancer: Opportunities for Drug Repurposing.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Unveiling the Disparities in the Field of Precision Medicine: A Perspective.Health science reports · 2025Article
- Nanoparticle Therapeutics in Clinical Perspective: Classification, Marketed Products, and Regulatory Landscape.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Review
- Precision medicine in colorectal cancer: genomics profiling and targeted treatment.Frontiers in pharmacology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Personalized medicine integrates genomics with clinical and familial histories, revolutionizing healthcare by tailoring treatments to individual patient characteristics. At its core, pharmacogenomics enables the customization of medication prescriptions based on genetic profiles, enhancing drug efficacy and safety. This precision medicine approach addresses disease diagnosis, prevention, and treatment, offering targeted therapies for conditions like autoimmune disorders, rheumatoid arthritis, and neoplastic conditions. Examples of pharmacogenomics and personalized medicine include treatment for certain conditions like blood clotting disorders (warfarin (blood thinner), genetic variability, acute lymphoblastic leukemia (ALL), and thiopurine methyltransferase (TPMT) testing) in leukemia treatment. Historically, personalized medicine has evolved from Hippocrates' humoral theories to modern molecular diagnostics. The shift from cellular to molecular-level investigations has led to the current post-genomic era, emphasizing the four chemical components of DNA in understanding and treating disorders. This evolution enhances our ability to predict disease susceptibility, treatment response, and potential adverse reactions, demanding advancements in privacy laws, payment systems, regulatory standards, and education. Personalized healthcare optimizes treatment by considering genetic, environmental, and lifestyle factors, reducing adverse reactions, and improving patient satisfaction. It drives genomic and biotechnological research, fostering the development of targeted therapies and diagnostic tools, and streamlining drug development. Applications in lung cancer, renal carcinoma, and rheumatoid arthritis (RA) illustrate the efficacy of personalized medicine. Targeted therapies, such as tyrosine kinase inhibitors (TKIs) and monoclonal antibodies (mAbs), show significant success in lung cancer. Biomarkers guide renal carcinoma treatments, while gene expression profiles predict rheumatoid arthritis outcomes with tumor necrosis factor-alpha
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Identifiers
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.