Evidence map›Paper›PMID 28639133›Full record

ArticleJournal of neuro-oncology2017

Stereotactic biopsy in elderly patients: risk assessment and impact on treatment decision.

Stephanie G Kellermann, Christina A Hamisch, Daniel Rueß, Tobias Blau, Roland Goldbrunner, Harald Treuer, Stefan J Grau, Maximilian I Ruge

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of neuro-oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Circulating Tumor DNA Profiling for Detection, Risk Stratification, and Classification of Brain Lymphomas.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  10. Review
  11. Article
  12. Review
  13. Applications of radiomics and machine learning for radiotherapy of malignant brain tumors.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2020
    Review
  14. Review
  15. Observational
  16. Review
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.

Stephanie G KellermannDepartment of General Neurosurgery, Center of Neurosurgery, University Hospital of Cologne, Cologne, Germany.
Christina A HamischDepartment of General Neurosurgery, Center of Neurosurgery, University Hospital of Cologne, Cologne, Germany.
Daniel RueßDepartment of Stereotaxy and Functional Neurosurgery, Center of Neurosurgery, University Hospital of Cologne, Albertus-Magnus University Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Tobias BlauInstitute of Neuropathology, University Hospital of Cologne, Cologne, Germany.
Roland GoldbrunnerDepartment of General Neurosurgery, Center of Neurosurgery, University Hospital of Cologne, Cologne, Germany.
Harald TreuerDepartment of Stereotaxy and Functional Neurosurgery, Center of Neurosurgery, University Hospital of Cologne, Albertus-Magnus University Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Stefan J GrauDepartment of General Neurosurgery, Center of Neurosurgery, University Hospital of Cologne, Cologne, Germany.
Maximilian I RugeDepartment of Stereotaxy and Functional Neurosurgery, Center of Neurosurgery, University Hospital of Cologne, Albertus-Magnus University Cologne, Kerpener Str. 62, 50937, Cologne, Germany. maximilian.ruge@uk-koeln.de.ORCID http://orcid.org/0000-0003-0466-6646

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate risk profile, diagnostic yield and impact on treatment decision of stereotactic biopsy (SB) in elderly patients with unclear cerebral lesions. In this single center retrospective analysis we identified all patients aged ≥70 years receiving SB between January 2005 and December 2015. Demographic data, Karnofsky Performance Status (KPS), histology, comorbidity (by CHA2DS2-VASc Score) and use of anticoagulation were retrieved. We scrutinized diagnostic yield, procedural complications (mortality, transient and permanent morbidity), hospitalization time and therapeutic consequence. For correlation analysis Chi-Square, Mann-Whitney rank sum test and binary regression were used. Two hundred and thirty patients were included. In 229 patients SB was technically successful. Median age was 74 (70-87) years, 56.1% of patients were male and median preoperative KPS was 80% (30-100). Median CHA2DS2-VASc Score was 4 (1-9), with 29.6% receiving anticoagulation. Median hospital stay was 8 (2-29) days. Pathological diagnosis was conclusive in 97% revealing neoplastic lesions in 91.7% (high-grade glioma 62.6%, lymphoma 18.3%, metastasis 4.8%, low-grade glioma 3.0% and other tumors 3.0%) and non-neoplastic lesions in 5.3% of cases. Procedure-related mortality was 0.4%, transient and permanent morbidity occurred in 19 patients (8.3%) and eight patients (3.5%). Complication rate was not associated with any of the above-mentioned parameters. Adjuvant therapy was initiated in 171 (74.3%) patients. Decision against disease-specific therapy was only influenced by preoperative KPS (p < 0.001). SB in elderly patients is characterized by a favorable risk profile and high diagnostic yield, allowing tissue based therapeutic consequences even in patients with high comorbidity and anticoagulant medication.

Indexed as

BiopsyAgedAged, 80 and overBrainComorbidityDisease ManagementFemaleHumansKarnofsky Performance StatusLength of StayMalePostoperative ComplicationsRegression AnalysisRetrospective StudiesRisk AssessmentElderlyNeurooncologyStereotactic biopsy

Identifiers

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.