Evidence map›Paper›PMID 32111782›Full record

ArticleIn vivo (Athens, Greece)

Interval Between Cancer Diagnosis and Radiotherapy - An Independent Prognostic Factor of Survival in Patients Irradiated for Bone Metastases from Kidney Cancer.

Dirk Rades, Rapha Haus, Stefan Janssen, Steven E Schild

Open access · diamondAbstract read
In one paragraph

Article in In vivo (Athens, Greece). 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, top 98% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

4 authors at 3 institutions in 2 countries.

Dirk RadesDepartment of Radiation Oncology, University of Lübeck, Lübeck, Germany rades.dirk@gmx.net.
Rapha HausDepartment of Radiation Oncology, University of Lübeck, Lübeck, Germany.
Stefan JanssenDepartment of Radiation Oncology, University of Lübeck, Lübeck, Germany.
Steven E SchildDepartment of Radiation Oncology, Mayo Clinic, Scottsdale, AZ, U.S.A.
University of Lübeck · DEMayo Clinic in Arizona · USMedizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimCancer patients with metastatic disease require personalized treatment regimens. This study was performed to identify prognostic factors for overall survival (OS) following irradiation of bone metastases from kidney cancer. PATIENTS AND

methodsData of 29 patients irradiated for bone metastases from kidney cancer were retrospectively evaluated. Ten factors were analyzed, including age, gender, performance score, interval from diagnosis of kidney cancer until radiotherapy for bone metastases, visceral metastases, other bone metastases, metastatic sites, number of irradiated sites, surgery of irradiated sites and systemic treatment prior to radiotherapy.

resultsUsing univariate analyses, a longer interval from diagnosis of kidney cancer radiotherapy was associated with better OS (p=0.012). Using Cox regression analysis, this factor remained significant (risk ratio=3.54, p=0.012).

conclusionThe interval from diagnosis of kidney cancer until radiotherapy is an independent prognostic factor associated with OS following irradiation of bone metastases from kidney cancer. This type of data can help personalize radiation programs.

Indexed as

Radiotherapy DosageAgedBone NeoplasmsFemaleHumansKaplan-Meier EstimateKidney NeoplasmsMaleOutcome Assessment, Health CarePrognosisProportional Hazards ModelsRetrospective StudiesBone metastaseskidney canceroverall survivalprognostic factorradiotherapy

Identifiers

PMID32111782
PMCPMC7157884
OpenAlexW3007417697

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.