Evidence map›Paper›PMID 34347223›Full record

ArticleJournal of neuro-oncology2021

Red blood cell distribution width to platelet ratio substantiates preoperative survival prediction in patients with newly-diagnosed glioblastoma.

Matthias Schneider, Niklas Schäfer, Stefanos Apallas, Anna-Laura Potthoff, Christian Bode, Erdem Güresir, Muriel Heimann, Felix Lehmann, Elisa Scharnböck, Christina Schaub and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neuro-oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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  11. Red Blood Cell Distribution Width-to-Platelet Ratio Predicts 30-Day Mortality in Postoperative Acute Pulmonary Embolism: A Retrospective Cohort Study.Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis
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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 1 institution in 1 country.

Matthias SchneiderDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany. matthias.schneider@ukbonn.de.ORCID http://orcid.org/0000-0002-6025-7479
Niklas SchäferDivision of Clinical Neuro-Oncology, Department of Neurology, University Hospital Bonn, Bonn, Germany.
Stefanos ApallasDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Anna-Laura PotthoffDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Christian BodeDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.
Erdem GüresirDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Muriel HeimannDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Felix LehmannDepartment of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany.
Elisa ScharnböckDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Christina SchaubDivision of Clinical Neuro-Oncology, Department of Neurology, University Hospital Bonn, Bonn, Germany.
Hartmut VatterDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Ulrich HerrlingerDivision of Clinical Neuro-Oncology, Department of Neurology, University Hospital Bonn, Bonn, Germany.
Patrick SchussDepartment of Neurosurgery, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
University Hospital Bonn · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectThe conception of individual patient-adjusted treatment strategies is constantly emerging in the field of neuro-oncology. Systemic laboratory markers may allow insights into individual needs and estimated treatment benefit at an earliest possible stage. Therefore, the present study was aimed at analyzing the prognostic significance of preoperative routine laboratory values in patients with newly-diagnosed glioblastoma.

methodsBetween 2014 and 2019, 257 patients were surgically treated for newly-diagnosed glioblastoma at the Neuro-Oncology Center of the University Hospital Bonn. Preoperative routine laboratory values including red blood cell distribution width (RDW) and platelet count were reviewed. RDW to platelet count ratio (RPR) was calculated and correlated to overall survival (OS) rates.

resultsMedian preoperative RPR was 0.053 (IQR 0.044-0.062). The receiver operating characteristic (ROC) curve indicated an optimal cut-off value for RPR to be 0.05 (AUC 0.62; p = 0.002, 95% CI 0.544-0.685). 101 patients (39%) presented with a preoperative RPR < 0.05, whereas 156 patients (61%) had a RPR ≥ 0.05. Patients with preoperative RPR < 0.05 exhibited a median OS of 20 months (95% CI 17.9-22.1), which was significantly higher compared to a median OS of 13 months (95% CI 10.9-15.1) in patients with preoperative RPR ≥ 0.05 (p < 0.001).

conclusionsThe present study suggests the RPR to constitute a novel prognostic inflammatory marker for glioblastoma patients in the course of preoperative routine laboratory examinations and might contribute to a personalized medicine approach.

Indexed as

GlioblastomaErythrocyte IndicesErythrocytesHumansPlatelet CountRetrospective StudiesROC CurveGlioblastomaInflammationPlateletRed blood cell distribution width

Identifiers

PMID34347223
PMCPMC8437903
OpenAlexW3187224000

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.