Evidence map›Paper›PMID 36322096›Full record

ReviewNeuro-oncology2022

Novel intraoperative strategies for enhancing tumor control: Future directions.

Alexander F Haddad, Manish K Aghi, Nicholas Butowski

Abstract readReview
In one paragraph

Review in Neuro-oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Trial
  2. Obstacles and Trials in Treating Primary Brain Tumors.International journal of molecular sciences · 2026
    Review
  3. Article
  4. Article
  5. Towards Optical Biopsy in Glioma Surgery.International journal of molecular sciences · 2025
    Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Next-generation agents for fluorescence-guided glioblastoma surgery.Bioengineering & translational medicine · 2024
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Alexander F HaddadDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Manish K AghiDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.
Nicholas ButowskiDepartment of Neurological Surgery, University of California, San Francisco, San Francisco, California, USA.

Funding

Tumor cell and microenvironment changes causing antiangiogenic therapy resistanceR01NS079697 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI AGHI, MANISH · 2013 to 2021
$3.2M
Retroviral RLI immunomodulatory gene therapy for glioblastomaR01NS123808 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Manish Aghi · 2022 to 2026
$2.1M
NINDS NIH HHS R01 NS079697NINDS NIH HHS R01 NS123808
6 · The paper itself

Abstract

Maximal safe surgical resection plays a key role in the care of patients with gliomas. A range of technologies have been developed to aid surgeons in distinguishing tumor from normal tissue, with the goal of increasing tumor resection and limiting postoperative neurological deficits. Technologies that are currently being investigated to aid in improving tumor control include intraoperative imaging modalities, fluorescent tumor makers, intraoperative cell and molecular profiling of tumors, improved microscopic imaging, intraoperative mapping, augmented and virtual reality, intraoperative drug and radiation delivery, and ablative technologies. In this review, we summarize the aforementioned advancements in neurosurgical oncology and implications for improving patient outcomes.

Indexed as

Brain NeoplasmsGliomaHumansMagnetic Resonance ImagingNeurosurgical ProceduresCEDglioblastomagliomaiMRIsurgery

Identifiers

PMID36322096
PMCPMC9629473

What OpenQuestion holds

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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.