Evidence map›Paper›PMID 39161334›Full record

ArticleOncology letters2024

Prognostic assessment of patients with bone metastatic renal cell cancer treated with palliative radiotherapy.

Kenji Makita, Yasushi Hamamoto, Hiromitsu Kanzaki, Kei Nagasaki, Yoshihiro Kochi, Teruhito Kido

Abstract read
In one paragraph

Article in Oncology letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Kenji MakitaDepartment of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Matsuyama, Ehime 791-0280, Japan.
Yasushi HamamotoDepartment of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Matsuyama, Ehime 791-0280, Japan.
Hiromitsu KanzakiDepartment of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Matsuyama, Ehime 791-0280, Japan.
Kei NagasakiDepartment of Radiation Oncology, National Hospital Organization Shikoku Cancer Center, Matsuyama, Ehime 791-0280, Japan.
Yoshihiro KochiDepartment of Radiology, Ehime University Graduate School of Medicine, Toon, Ehime 791-0295, Japan.
Teruhito KidoDepartment of Radiology, Ehime University Graduate School of Medicine, Toon, Ehime 791-0295, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated the prognosis of patients who received palliative radiotherapy (RT) for bone metastases (BMs) from renal cell cancer (RCC), and assessed the prognostic factors specific to BMs from RCC. A total of 109 patients with RCC and BMs who underwent RT for the first time were included in the study. Prognostic factors were evaluated using multivariate analysis and a scoring system based on regression coefficients was devised. The median follow-up time was 9 months, and the 0.5-year overall survival (OS) rate was 73.0%. In the multivariate analysis, the significant prognostic factors were higher performance status (≥2), no control of the primary site, disseminated metastasis, lymph node metastasis and multiple BMs. A score of 1 point was assigned to each risk factor. The median OS times were 19.0 and 5.0 months in patients with a total score of ≤1 (n=49) and >1 (n=60), respectively (P<0.01). In conclusion, a comprehensive prognostic assessment using these factors may be useful for predicting the prognoses of patients with BMs from RCC. In addition, this scoring system may be useful in selecting the optimal RT dose.

Indexed as

bone metastasispalliative radiotherapyprognostic factorrenal cell cancerscoring system

Identifiers

PMID39161334
PMCPMC11332580

What OpenQuestion holds

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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.