Evidence map›Paper›PMID 28678889›Full record

ArticlePloS one2017

Modification and optimization of an established prognostic score after re-irradiation of recurrent glioma.

Kerstin A Kessel, Josefine Hesse, Christoph Straube, Claus Zimmer, Friederike Schmidt-Graf, Jürgen Schlegel, Bernhard Meyer, Stephanie E Combs

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
–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

28 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Comparison of carbon ion and photon reirradiation for recurrent glioblastoma.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2022
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  11. Re-irradiation for high-grade gliomas: Has anything changed?World journal of clinical oncology · 2021
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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

8 authors.

Kerstin A KesselDepartment of Radiation Oncology, Technische Universität München (TUM), Munich, Germany.ORCID http://orcid.org/0000-0002-6544-8151
Josefine HesseDepartment of Radiation Oncology, Technische Universität München (TUM), Munich, Germany.
Christoph StraubeDepartment of Radiation Oncology, Technische Universität München (TUM), Munich, Germany.
Claus ZimmerDepartment of Neuroradiology, Technical University of Munich (TUM), Munich, Germany.
Friederike Schmidt-GrafDepartment of Neurology, Technical University of Munich (TUM), Munich, Germany.
Jürgen SchlegelDepartment of Neuropathology, Technical University of Munich (TUM), Munich, Germany.
Bernhard MeyerDepartment of Neurosurgery, Technical University of Munich (TUM), Munich, Germany.
Stephanie E CombsDepartment of Radiation Oncology, Technische Universität München (TUM), Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionFor about 30 years, researchers developed prognostic scores and searched for prognostic factors to predict outcomes for cancer patients. The "Combs Prognostic Score" for re-irradiation in recurrent glioma was recently validated and results showed that the score is a significant (p < .001) and reliable predictor for patients undergoing re-irradiation (re-RT). We sought to enhance the score and generated a novel scoring approach, taking into account the information on resection of recurrent tumors, KPS, and tumor volume. PATIENTS AND

methodsThe prognostic score was generated based on 209 patients treated between 2002 and 2016 for recurrent glioma at the department of radiation oncology at the Klinikum rechts der Isar, Munich. To further enhance the previously validated Combs Prognostic Score, which uses the prognostic factors primary histology, time between primary RT and re-RT, and age, we added KPS, tumor volume (PTV) and re-resection into the scoring scheme.

resultsThe median follow-up time was 3.5 months. 67.5% were WHO IV gliomas with a median OS after re-RT of 7.9 months, 17.7% were WHO III gliomas with an OS of 11.3 months and 14.8% were WHO I/II gliomas with an OS of 14.7 months. Multivariate analyses confirmed the prognostic factors KPS (p < .001) and showed a tendency to significance for tumor volume (p = .067) and re-resection (p = .064). The new prognostic score demonstrated a high significance (p < .001).

conclusionThe "New Combs Prognostics Score" is a significant and useful tool to predict the overall effect of re-RT in patients with recurrence gliomas. This modified score offers an even better way to classify patients in clinical routine and prospective clinical trials investigating re-irradiation.

Indexed as

Neoplasm Recurrence, LocalAdultAgedBrain NeoplasmsFemaleFollow-Up StudiesGliomaHumansMaleMiddle AgedPrognosisYoung Adult

Identifiers

PMID28678889
PMCPMC5498044

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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.