Evidence map›Paper›PMID 31653812›Full record

ArticleJournal of neurosurgery2020

Contemporary assessment of extent of resection in molecularly defined categories of diffuse low-grade glioma: a volumetric analysis.

Vasileios K Kavouridis, Alessandro Boaro, Jeffrey Dorr, Elise Y Cho, J Bryan Iorgulescu, David A Reardon, Omar Arnaout, Timothy R Smith

Abstract read
In one paragraph

Article in Journal of neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Interactive Effects of Molecular, Therapeutic, and Patient Factors on Outcome of Diffuse Low-Grade Glioma.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Trial
  4. Article
  5. Article
  6. Article
  7. Review
  8. The Role of Mutant IDH Inhibitors in the Treatment of Glioma.Current neurology and neuroscience reports · 2024
    Review
  9. Article
  10. Review
  11. Article
  12. Diagnostic accuracy of anti-3-[European journal of nuclear medicine and molecular imaging · 2024
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Prognostic Factors of Low-Grade Gliomas in Adults.Current oncology (Toronto, Ont.) · 2022
    Article
  20. 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

8 authors.

Vasileios K Kavouridis1Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital.
Alessandro Boaro1Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital.
Jeffrey Dorr2Harvard Medical School.
Elise Y Cho1Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital.
J Bryan Iorgulescu1Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital.
David A Reardon2Harvard Medical School.
Omar Arnaout1Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital.
Timothy R Smith1Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital.

Funding

VASCULAR, PULMONARY AND RENAL INJURYT32HL007627 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GIMBRONE, MICHAEL A, MITCHELL, RICHARD N · 1985 to 2019
$12.7M
NHLBI NIH HHS T32 HL007627
6 · The paper itself

Abstract

objectiveWhile the effect of increased extent of resection (EOR) on survival in diffuse infiltrating low-grade glioma (LGG) patients is well established, there is still uncertainty about the influence of the new WHO molecular subtypes. The authors designed a retrospective analysis to assess the interplay between EOR and molecular classes.

methodsThe authors retrospectively reviewed the records of 326 patients treated surgically for hemispheric WHO grade II LGG at Brigham and Women's Hospital and Massachusetts General Hospital (2000-2017). EOR was calculated volumetrically and Cox proportional hazards models were built to assess for predictive factors of overall survival (OS), progression-free survival (PFS), and malignant progression-free survival (MPFS).

resultsThere were 43 deaths (13.2%; median follow-up 5.4 years) among 326 LGG patients. Median preoperative tumor volume was 31.2 cm3 (IQR 12.9-66.0), and median postoperative residual tumor volume was 5.8 cm3 (IQR 1.1-20.5). On multivariable Cox regression, increasing postoperative volume was associated with worse OS (HR 1.02 per cm3; 95% CI 1.00-1.03; p = 0.016), PFS (HR 1.01 per cm3; 95% CI 1.00-1.02; p = 0.001), and MPFS (HR 1.01 per cm3; 95% CI 1.00-1.02; p = 0.035). This result was more pronounced in the worse prognosis subtypes of IDH-mutant and IDH-wildtype astrocytoma, for which differences in survival manifested in cases with residual tumor volume of only 1 cm3. In oligodendroglioma patients, postoperative residuals impacted survival when exceeding 8 cm3. Other significant predictors of OS were age at diagnosis, IDH-mutant and IDH-wildtype astrocytoma classes, adjuvant radiotherapy, and increasing preoperative volume.

conclusionsThe results corroborate the role of EOR in survival and malignant transformation across all molecular subtypes of diffuse LGG. IDH-mutant and IDH-wildtype astrocytomas are affected even by minimal postoperative residuals and patients could potentially benefit from a more aggressive surgical approach.

Indexed as

astrocytomaextent of resectionlow-grade gliomaoligodendrogliomaoncologyvolumetric analysis

Identifiers

PMID31653812
PMCPMC7348099

What OpenQuestion holds

Textmetadata
LicenceTDM
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.