Evidence map›Paper›PMID 40673134›Full record

ArticleClinical and translational radiation oncology2025

Optimizing predictive accuracy of the two-component repair model for pediatric TBI: Pediatric-specific parameters, toxicity endpoint harmonization, and dose-rate safeguards.

Ruijie Meng

Abstract readLetter
In one paragraph

Article in Clinical and translational radiation oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Ruijie MengDepartment of Radiation Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to the innovative two-component repair model for pediatric TBI renal toxicity prediction, this letter proposes three key refinements to enhance clinical translation: adopting pediatric-specific radiobiological parameters (e.g., DNA-PKcs dynamics, α/β ratios) to address systematic overestimation of radiation tolerance; harmonizing toxicity endpoints to CTCAE v5.0 ≥Grade 3 criteria to strengthen doseresponse associations and enable precise risk stratification; and implementing institution-specific minimum dose-rate thresholds to mitigate unmodeled vascular susceptibility during low-dose-rate TBI. Collectively, these optimizations will improve predictive accuracy and support personalized radiotherapy for high-risk pediatric cohorts.

Indexed as

Dose-rate effectsPediatric TBIPrecision radiotherapyRadiation tolerance predictionRenal toxicity

Identifiers

PMID40673134
PMCPMC12266531

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Registered trials

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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.