Evidence map›Paper›PMID 39453521›Full record

Observational studyNeurosurgical review2024

A novel scoring system proposal to guide surgical treatment indications for high grade gliomas in elderly patients: DAK-75.

Andrea Bianconi, Roberto Presta, Pietro La Cava, Raffaele De Marco, Pietro Zeppa, Paola Lacroce, Margherita Castaldo, Francesco Bruno, Alessia Pellerino, Roberta Rudà and 4 more

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Neurosurgical review, 2024. 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
–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

11 citing papers in PubMed.

  1. Article
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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

14 authors.

Andrea Bianconi *Neurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy. andrea.bianconi@edu.unito.it.
Roberto Presta *Section of Geriatrics, "Città Della Salute E Della Scienza" University Hospital, Department of Medical Sciences, University of Turin, Turin, Italy.
Pietro La CavaNeurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.
Raffaele De MarcoNeurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.
Pietro ZeppaNeurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.
Paola LacroceNeurosurgery Unit, University of Messina, Messina, Italy.
Margherita CastaldoNeurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.
Francesco BrunoDivision of Neuro-Oncology, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10124, Turin, Italy.
Alessia PellerinoDivision of Neuro-Oncology, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10124, Turin, Italy.
Roberta RudàDivision of Neuro-Oncology, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, 10124, Turin, Italy.
Antonio MelcarneNeurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.
Diego GarbossaNeurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.
Mario BoSection of Geriatrics, "Città Della Salute E Della Scienza" University Hospital, Department of Medical Sciences, University of Turin, Turin, Italy.
Fabio CofanoNeurosurgery Unit, "Città Della Salute E Della Scienza" University Hospital, Department of Neuroscience "Rita Levi Montalcini", University of Turin, Via Cherasco 15, 10124, Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-grade gliomas are the most prevalent neurooncological desease in adults, their incidence increases with age, peaking in the seventh decade. This paper aims to address how to select patients for surgical resection by identifying pre-surgical predictors of 12-month mortality in newly diagnosed HGG patients aged ≥ 75 years. A prognostic score will be proposed to guide surgical decisions based on expected survival. Retrospective observational single-center cohort study was carried out at the "Città della Salute e della Scienza-Molinette" University Hospital in Turin, Italy. All consecutive patients aged ≥ 75 years newly diagnosed with HGG were included, regardless of whether they underwent surgical resection. Clinical, radiological, histological and molecular data were collected.Variables potentially available at the time of diagnosis were considered to develop a multivariable logistic regression predictive model, with 12-months overall survival as the dependent variable. 102 patients aged 75 years or older received a new diagnosis of high-grade glioma, of whom 68 underwent surgical resection. Patients undergoing surgery were slightly younger (76.9 vs 79.0 years, p = 0.007) and had better performance status (median KPS 80 vs 70). Most tumors undergoing surgery were localized in cortical or subcortical non-motor areas (p < 0.001) and less frequently deep-seated (p = 0.023) or multifocal (p < 0.001). A predictive model, the DAK-75 score, was developed: the AUROC of the final model was 0.822 (95% CI 0.741-0.902). The score includes clinical presentation, tumor location, and KPS, ranging from 0 to 20, categorizing risk scores into low-risk and high-risk groups (< or > 8). Higher scores corresponded to fewer surgical patients and higher one-year mortality rates (92.2% vs 47.1%, p < 0.001). DAK-75 score may represent a valuable tool in the decision-making process for neurosurgical intervention in elderly patients diagnosed with HGG. Further studies are needed to externally and prospectively validate the scoring system.

Indexed as

Brain NeoplasmsGliomaAgedAged, 80 and overFemaleHumansMaleNeoplasm GradingNeurosurgical ProceduresPrognosisRetrospective StudiesTreatment OutcomeElderlyGlioblastomaGliomaScore

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Registered trials

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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.