Evidence map›Paper›PMID 36290338›Full record

ArticleBiology2022

The First Survival Score for Patients Aged ≥80 Years Irradiated for Brain Metastases.

Dirk Rades, Cansu Delikanli, Steven E Schild, Charlotte Kristiansen, Søren Tvilsted, Stefan Janssen

Abstract read
In one paragraph

Article in Biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

6 authors.

Dirk RadesDepartment of Radiation Oncology, University of Lubeck, 23562 Lubeck, Germany.
Cansu DelikanliDepartment of Radiation Oncology, University of Lubeck, 23562 Lubeck, Germany.
Steven E SchildDepartment of Radiation Oncology, Mayo Clinic, Scottsdale, AZ 85259, USA.ORCID 0000-0002-2850-4126
Charlotte KristiansenDepartment of Oncology, Vejle Hospital, University Hospital of Southern Denmark, 7100 Vejle, Denmark.ORCID 0000-0002-8073-5781
Søren TvilstedResearch Department, Zealand University Hospital, 4600 Køge, Denmark.
Stefan JanssenDepartment of Radiation Oncology, University of Lubeck, 23562 Lubeck, Germany.

Funding

European Regional Development Fund 148-1.1-21
6 · The paper itself

Abstract

Survival scores facilitate personalized cancer treatment. Due to demographic changes, very elderly patients are more prevalent than in the past. A score was developed in 94 patients aged ≥ 80 years undergoing whole-brain radiotherapy for brain metastases. Dose fractionation, treatment period, age, sex, performance score (ECOG-PS), tumor type, count of lesions, metastases outside the brain, and interval tumor diagnosis to radiotherapy were retrospectively evaluated. Independent predictors of survival were used for the score. Based on individual scoring points obtained from 3-month survival rates, prognostic groups were designed. Additionally, the score was compared to an existing tool developed in patients ≥ 65 years. ECOG-PS, count of lesions, and extra-cranial metastases were independent prognostic factors. Three groups were created (7, 10, and 13−16 points) with 3-month survival of 6%, 25%, and 67% (p < 0.001), respectively. Positive predictive values (PPVs) regarding death ≤ 3 and survival ≥ 3 months were 94% and 67% (new score) vs. 96% and 48% (existing tool), respectively. PPVs for survival ≥1 and ≥2 months were 88% and 79% vs. 63% and 58%, respectively. Both tools were accurate in predicting death ≤2, ≤3, and ≤6 months. The new score was more precise regarding death ≤1 month and survival (all time periods) and appeared preferable. However, it still needs to be validated.

Indexed as

brain metastasesprognostic toolradiotherapysurvivalvery elderly

Identifiers

PMID36290338
PMCPMC9598105

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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.