Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 57 min ago
PreprintCC BYmedRxiv

WITHDRAWN: Multi-Timepoint Risk Stratification in Rare Cancers: A Computational Framework Validated against Published Ewing Sarcoma Trial Data

  • J. Kress1
  1. 1The KressWorks Foundation
Read full textPDFDOICite

Abstract

Withdrawal StatementThe author has withdrawn this preprint because a check of the manuscript against the simulation code that produced its results found that parts of the Methods and Supporting Information do not accurately describe that code, and that several survivorship results (including the reported renal-mediated amplification of congestive heart failure risk) are not supported by the model as implemented. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

Related

  1. Incremental value of laboratory and ultrasonographic markers for preoperative risk stratification of difficult laparoscopic cholecystectomy: a cross-validated cohort study
    Mustafa Kağan Başdoğan, Furkan Saydın, Cem Batuhan Ofluoğlu +2
    Frontiers in SurgeryPeer-reviewedCC BY 4.0Full textSurgery & anaesthesiaPMC
  2. A Spatially Validated Machine-Learning Framework for Mapping Alpha-Gal Syndrome Exposure Potential in Illinois
    A. Hussain, M.-P. Nohra, R. L. Smith
    medRxivPreprintCC BYFull textEpidemiology & public healthmedRxiv
  3. Cytomegalovirus Retinitis Across the Immunosuppression Spectrum: A Contemporary Framework for Risk Stratification, Diagnosis, and Vision-Preserving Therapy
    Journal of clinical medicinePeer-reviewedCC BYFull textGeneral medicineEurope PMC
  4. Risk stratification of pediatric chest pain: red flags, diagnostic yield, and an evidence-informed clinical framework
    Lingling Meng, Wenjing Zhu, Jianli Lv
    Frontiers in pediatricsPeer-reviewedCC BYFull textGeneral medicineEurope PMC
  5. A data-driven stratification framework for physical fitness in junior high school students: a composite approach based on BMI and multidimensional data
    Yi Fang, Juhao Hou, Shilin Wen
    Frontiers in public healthPeer-reviewedCC BYFull textEpidemiology & public healthEurope PMC

Cite

BibTeXRIS
BibTeX
@misc{kress2026withdrawn,
  title = {{WITHDRAWN: Multi-Timepoint Risk Stratification in Rare Cancers: A Computational Framework Validated against Published Ewing Sarcoma Trial Data}},
  author = {J. Kress},
  howpublished = {medRxiv},
  year = {2026},
  month = jul,
  doi = {10.64898/2026.07.03.26357236},
  url = {https://www.medrxiv.org/content/10.64898/2026.07.03.26357236v2},
  note = {CC BY},
}
RIS
TY  - UNPB
TI  - WITHDRAWN: Multi-Timepoint Risk Stratification in Rare Cancers: A Computational Framework Validated against Published Ewing Sarcoma Trial Data
AU  - J. Kress
PY  - 2026
DA  - 2026/07/03
PB  - medRxiv
DO  - 10.64898/2026.07.03.26357236
UR  - https://www.medrxiv.org/content/10.64898/2026.07.03.26357236v2
AB  - Withdrawal StatementThe author has withdrawn this preprint because a check of the manuscript against the simulation code that produced its results found that parts of the Methods and Supporting Information do not accurately describe that code, and that several survivorship results (including the reported renal-mediated amplification of congestive heart failure risk) are not supported by the model as implemented. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.
ER  -