ReviewOncotarget2018
Precision medicine in the treatment stratification of AML patients: challenges and progress.
Review in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed.
- Epigenetics and In Silico Transcriptome Analysis of Pediatric Acute Myeloid Leukemia.European journal of haematology · 2026Review
- Identifying acute myeloid leukemia subtypes based on pathway enrichment.Frontiers in pharmacology · 2025Article
- A Combinatorial Functional Precision Medicine Platform for Rapid Therapeutic Response Prediction in AML.Cancer medicine · 2024Article
- Application of High Throughput Technologies in the Development of Acute Myeloid Leukemia Therapy: Challenges and Progress.International journal of molecular sciences · 2022Review
- Characteristics of Pyroptosis-Related Subtypes and Novel Scoring Tool for the Prognosis and Chemotherapy Response in Acute Myeloid Leukemia.Frontiers in oncology · 2022Article
- New strategies to treat AML: novel insights into AML survival pathways and combination therapies.Leukemia · 2021Review
- "Modulating Phosphoinositide Profiles as a Roadmap for Treatment in Acute Myeloid Leukemia".Frontiers in oncology · 2021Review
- Article
- Article
- The multiple-kinase inhibitor lenvatinib inhibits the proliferation of acute myeloid leukemia cells.Animal models and experimental medicine · 2019Article
- Glucocorticoids-All-Rounders Tackling the Versatile Players of the Immune System.Frontiers in immunology · 2019Review
- Exploring the Role of Health-care Professionals and Impact of Precision Medicine on Health Outcomes and Efficiency.Contemporary clinical dentistryArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances in high throughput technologies have led to the generation of vast amounts of clinical data and the development of personalized medicine approaches in acute myeloid leukemia (AML). The ability to treat cancer patients based upon their individual molecular characteristics or drug sensitivity profiles is expected to significantly advance cancer treatment and improve the long-term survival of patients with refractory AML, for whom current treatment options are restricted to palliative approaches. The clinical development of omics-based and phenotypic screens, however, is limited by a number of bottlenecks including the generation of cost-effective high-throughput data, data interpretation and integration of multiple approaches, sample availability, clinically relevant timelines, and the development and education of multidisciplinary teams. Recently, a number of small clinical trials have shown survival benefits in patients treated based on personalized medicine approaches. While these preliminary studies are encouraging, larger trials are needed to evaluate the utility of these technologies in routine clinical settings.
Indexed as
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.