Evidence map›Paper›PMID 39354515›Full record

ArticleRadiation oncology (London, England)2024

Predicting the survival of patients with painful tumours treated with palliative radiotherapy: a secondary analysis using the 3-variable number-of-risk-factors model.

Takayuki Sakurai, Tetsuo Saito, Kohsei Yamaguchi, Shigeyuki Takamatsu, Satoshi Kobayashi, Naoki Nakamura, Natsuo Oya

Abstract read
In one paragraph

Article in Radiation oncology (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Takayuki SakuraiDepartment of Radiology, Graduate School of Medicine, Kanazawa University, Kanazawa, 920-8641, Ishikawa, Japan. tkyk81@gmail.com.
Tetsuo SaitoDivision of Integrative Medical Oncology, Saiseikai Kumamoto Hospital, Kumamoto, Kumamoto, 861-4193, Japan.
Kohsei YamaguchiDepartment of Radiation Oncology, Ariake Medical Center, Arao, Kumamoto, 864-0041, Japan.
Shigeyuki TakamatsuDepartment of Radiology, Graduate School of Medicine, Kanazawa University, Kanazawa, 920-8641, Ishikawa, Japan.
Satoshi KobayashiDepartment of Radiology, Graduate School of Medicine, Kanazawa University, Kanazawa, 920-8641, Ishikawa, Japan.
Naoki NakamuraDepartment of Radiation Oncology, St. Marianna University School of Medicine, Kanagawa, 216-8511, Japan.
Natsuo OyaDepartment of Radiation Oncology, Kumamoto University Hospital, Kumamoto, Kumamoto, 860-8556, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe 3-variable number-of-risk-factors (NRF) model is a prognostic tool for patients undergoing palliative radiotherapy (PRT). However, there is little research on the NRF model for patients with painful non-bone-metastasis tumours treated with PRT, and the efficacy of the NRF model in predicting survival is unclear to date. Therefore, we aimed to assess the prognostic accuracy of a 3-variable NRF model in patients undergoing PRT for bone and non- bone-metastasis tumours.

methodsThis was a secondary analysis of studies on PRT for bone-metastasis (BM) and PRT for miscellaneous painful tumours (MPTs), including non-BM tumours. Patients were grouped in the NRF model and survival was compared between groups. Discrimination was evaluated using a time-independent C-index and a time-dependent area under the receiver operating characteristic curve (AUROC). A calibration curve was used to assess the agreement between predicted and observed survival.

resultsWe analysed 485 patients in the BM group and 302 patients in the MPT group. The median survival times in the BM group for groups I, II, and III were 35.1, 10.1, and 3.3 months, respectively (P < 0.001), while in the MPT group, they were 22.1, 9.5, and 4.6 months, respectively (P < 0.001). The C-index was 0.689 in the BM group and 0.625 in the MPT group. In the BM group, time-dependent AUROCs over 2 to 24 months ranged from 0.738 to 0.765, while in the MPT group, they ranged from 0.650 to 0.689, with both groups showing consistent accuracy over time. The calibration curve showed a reasonable agreement between the predicted and observed survival.

conclusionsThe NRF model predicted survival moderately well in both the BM and MPT groups.

Indexed as

Palliative CareAdultAgedAged, 80 and overBone NeoplasmsCancer PainFemaleHumansMaleMiddle AgedNeoplasmsPrognosisRisk FactorsSurvival RateBone metastasesNon-bone-metastasis tumoursPainful tumoursPalliative radiotherapySurvival predictionThree-variable number-of-risk-factors model

Identifiers

PMID39354515
PMCPMC11443644

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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.