Evidence map›Paper›PMID 40671567›Full record

ReviewTechnology in cancer research & treatment

Radiobiological Modeling with Monte Carlo Tools - Simulating Cellular Responses to Ionizing Radiation.

Tiago André Azevedo, Ana Margarida Abrantes, João Carvalho

Abstract readReview
In one paragraph

Review in Technology in cancer research & treatment. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Tiago André AzevedoCFisUC, Department of Physics, University of Coimbra, Coimbra, Portugal.ORCID 0000-0002-0860-594X
Ana Margarida AbrantesICBR-Coimbra Institute for Clinical and Biomedical Research - Area of Environment, Genetics and Oncobiology (CIMAGO), Faculty of Medicine, Institute of Biophysics, University of Coimbra, Coimbra, Portugal.
João CarvalhoCFisUC, Department of Physics, University of Coimbra, Coimbra, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As the prevalence of cancer continues to rise in a rapidly aging population, the integration of advancements in computational capabilities with oncological practices presents promising opportunities for enhancing cancer treatment management.

Indexed as

Models, BiologicalMonte Carlo MethodNeoplasmsRadiation, IonizingRadiobiologyComputer SimulationDNA DamageDNA RepairHumansRadiation Tolerancebiomathematical modelcancer hallmarksin silico modelingMonte Carlo toolsradiobiology

Identifiers

PMID40671567
PMCPMC12276521

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.