Evidence map›Paper›PMID 30658673›Full record

ArticleRadiation oncology (London, England)2019

Predicting the survival of patients with bone metastases treated with radiation therapy: a validation study of the Katagiri scoring system.

Hikaru Kubota, Toshinori Soejima, Nor Shazrina Sulaiman, Shuhei Sekii, Yoko Matsumoto, Yosuke Ota, Kayoko Tsujino, Ikuo Fujita, Takuya Fujimoto, Masayuki Morishita and 3 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in Radiation oncology (London, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
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

18 citing papers in PubMed, 30 citations in OpenAlex.

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  15. Personalized Treatment Selection Leads to Low Rates of Local Salvage Therapy for Bone Metastases.International journal of radiation oncology, biology, physics · 2022
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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

13 authors at 2 institutions in 1 country.

Hikaru KubotaDepartment of Radiation Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan. hk.0113hu@gmail.com.
Toshinori SoejimaDepartment of Radiation Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Nor Shazrina SulaimanDepartment of Radiation Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Shuhei SekiiDepartment of Radiation Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Yoko MatsumotoDepartment of Radiation Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Yosuke OtaDepartment of Radiation Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Kayoko TsujinoDepartment of Radiation Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Ikuo FujitaDepartment of Orthopaedic Surgery, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Takuya FujimotoDepartment of Orthopaedic Surgery, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Masayuki MorishitaDepartment of Orthopaedic Surgery, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Junichi IkegakiDepartment of Palliative Medicine, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Koji MatsumotoDepartment of Medical Oncology, Hyogo Cancer Center, 13-70, Kita-oji, Akashi, Hyogo, Japan.
Ryohei SasakiDepartment of Radiation Oncology, Kobe University Hospital, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, Japan.
Hyogo Prefectural Cancer Center · JPKobe University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe selection of radiation therapy dose fractionation schedules for bone metastases is often based on the estimation of life expectancy. Therefore, accurate prognosis prediction is an important issue. It is reported that the Katagiri scoring system can be used to predict the survival of patients with bone metastases. We aimed to assess prognostic factors and validate the Katagiri scoring system in patients who were treated with radiation therapy for bone metastases. MATERIALS/

methodsWe retrospectively reviewed data of all patients who were treated with radiation therapy for bone metastases between 2004 and 2013. Age, sex, Karnofsky performance status (KPS), Eastern Cooperative Oncology Group performance status (ECOG PS), primary site (lesions and characteristics), visceral metastases, laboratory data, previous chemotherapy, and multiple bone metastases were analyzed for associations with overall survival (OS). Katagiri scores were calculated for each patient and were used to compare OS.

resultsOut of the 616 patients included in this analysis, 574 had died and 42 remained alive. The median follow-up time for survivors was 42 months. Univariate analysis revealed that age (P = 0.604) and multiple bone metastases (P = 0.691) were not significantly associated with OS. Multivariate analysis revealed that sex, ECOG PS, KPS, primary characteristics, visceral metastases, laboratory data, and previous chemotherapy were significantly associated with OS. The survival rates at 3, 6, 12, and 24 months, categorized by Katagiri score, were as follows: score 0-3, 94.4, 77.8, and 61.1%, respectively; score 4-6, 67.7, 48.7, and 31.2%, respectively; and score 7-10, 39.1, 22.1, and 9.0%, respectively (P < 0.001).

conclusionSex, ECOG PS, KPS, primary characteristics, visceral metastases, laboratory data, and previous chemotherapy were significant predictors of survival in patients with bone metastases. The Katagiri scoring system was significantly correlated with OS and can help us select the optimal dose-fractionation.

Indexed as

Models, StatisticalPredictive Value of TestsAgedAged, 80 and overBone NeoplasmsDose Fractionation, RadiationFemaleHumansMaleMiddle AgedRetrospective StudiesSurvival RateBone metastasisKatagiri scoring systemOptimizing dose-fractionationPalliative radiation therapyPrognostic factors

Identifiers

PMID30658673
PMCPMC6339356
OpenAlexW2913140266

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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.