ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2019
Predictors of the therapeutic effect of corticosteroids on radiation-induced optic neuropathy following nasopharyngeal carcinoma.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review.BMC medical research methodology · 2022Pooled it
- A Synthetic Steroid 5α-Androst-3β, 5, 6β-triol Alleviates Radiation-Induced Brain Injury in Mice via Inhibiting GBP5/NF-κB/NLRP3 Signal Axis.Molecular neurobiology · 2024Article
- Outcomes of systemic bevacizumab in radiation-induced optic neuropathy, case series.Journal of neuro-oncology · 2023Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
Radiation-induced optic neuropathy (RION) is a severe visual complication resulting from radiotherapy of the head and neck, which mostly occurs in patients with nasopharyngeal carcinoma (NPC) in the southern part of China. The mechanism of RION is unclear. Therefore, identifying risk factors for RION is an important step towards enhancing our understanding. In the current study, we retrospectively reviewed patients with NPC who were admitted to Sun Yat-Sen Memorial Hospital for visual loss between 2006 and 2017. The study included 38 participants (68 eyes) in the corticosteroid-effective group and 35 participants (64 eyes) in the corticosteroids-ineffective group. We analyzed potential risk factors for RION and developed a prediction model for the therapeutic effect of corticosteroid effect based on a random forests method. The prediction model showed a high accuracy with an area under the receiver operating characteristic curve of 0.932 (95% confidence interval = 0.889-0.975). Our results revealed that blood urea nitrogen (BUN) was significantly associated with RION and that RION patients with higher BUN levels responded better to corticosteroid treatment. Altogether, these results suggest that a prediction model, based on clinical factors, could be applied to estimate the therapeutic effect of corticosteroids on RION. Further investigation, however, is needed to confirm the study conclusion.
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Registered trials
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