ArticleBlood science (Baltimore, Md.)2023
Machine learning algorithm as a prognostic tool for Epstein-Barr virus reactivation after haploidentical hematopoietic stem cell transplantation.
Article in Blood science (Baltimore, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 19 citations in OpenAlex.
- Leukemia epidemiology in China: Burden, trends, and determinants in the 21st century.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025Article
- Early CD4 + T cell immune reconstitution as a biomarker for Epstein-Barr virus control following allogeneic transplantation.Blood research · 2025Article
- Clinical manifestations and outcomes of EBV-related secondary hemophagocytic lymphohistiocytosis.Annals of hematology · 2025Article
- The Role of Artificial Intelligence in Herpesvirus Detection, Transmission, and Predictive Modeling: With a Special Focus on Marek's Disease Virus.Pathogens (Basel, Switzerland) · 2025Review
- Article
- Article
- Artificial intelligence-based predictive model for relapse in acute myeloid leukemia patients following haploidentical hematopoietic cell transplantation.Journal of translational internal medicine · 2025Article
- Allogeneic hematopoietic stem cell transplantation could overcome the poor prognosis of DNMT3AFrontiers of medicine · 2025Article
- The Applications of Machine Learning in the Management of Patients Undergoing Stem Cell Transplantation: Are We Ready?Cancers · 2025Review
- Clinical manifestations, prognostic factors, and outcomes of adenovirus pneumonia after allogeneic hematopoietic stem cell transplantation.Virology journal · 2024Article
- [Role and progress of allogeneic hematopoietic stem cell transplantation in the treatment of refractory/relapsed diffuse large B-cell lymphoma].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2024Review
- Peripheral blood stem cell transplantation from haploidentical related donor could achieve satisfactory clinical outcomes for intermediate- or high-risk adult acute myeloid leukemia patients.Bone marrow transplantation · 2024Article
- Early T-cell reconstitution predicts risk of EBV reactivation after allogeneic hematopoietic stem cell transplantation.Clinical and experimental medicine · 2024Article
- simpleNomo: A Python Package of Making Nomograms for Visualizable Calculation of Logistic Regression Models.Health data science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epstein-Barr virus (EBV) reactivation is one of the most important infections after hematopoietic stem cell transplantation (HSCT) using haplo-identical related donors (HID). We aimed to establish a comprehensive model with machine learning, which could predict EBV reactivation after HID HSCT with anti-thymocyte globulin (ATG) for graft-versus-host disease (GVHD) prophylaxis. We enrolled 470 consecutive acute leukemia patients, 60% of them (n = 282) randomly selected as a training cohort, the remaining 40% (n = 188) as a validation cohort. The equation was as follows: Probability (EBV reactivation) =
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.