Evidence map›Paper›PMID 36684213›Full record

ArticleFrontiers in surgery2022

Case report: 'Photodynamics of Subependymal Giant Cell Astrocytoma with 5-Aminolevulinic acid'.

Imran Ghani, Sabina Patel, Prajwal Ghimire, Istvan Bodi, Ranjeev Bhangoo, Francesco Vergani, Keyoumars Ashkan, Jose Pedro Lavrador

Open access · goldAbstract read
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 52% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Imran GhaniKing's Neuro Lab, Department of Neurosurgery, London, United Kingdom.
Sabina PatelKing's Neuro Lab, Department of Neurosurgery, London, United Kingdom.
Prajwal GhimireSchool of Biomedical Engineering and Imaging Studies, King's College London, London, United Kingdom.
Istvan BodiDepartment of Neuropathology, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Ranjeev BhangooDepartment of Neurosurgery, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Francesco VerganiDepartment of Neurosurgery, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Keyoumars AshkanDepartment of Neurosurgery, King's College Hospital NHS Foundation Trust, London, United Kingdom.
Jose Pedro LavradorKing's Neuro Lab, Department of Neurosurgery, London, United Kingdom.
King's College Hospital NHS Foundation Trust · GBKing's College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Subependymal Giant Cell Astrocytoma (SEGA) is a common diagnosis in patients with Tuberous Sclerosis. Although surgical treatment is often required, resection may entail a significant risk for cognitive function given the anatomical relation with critical structures such as the fornices and subgenual area. Therefore, target subtotal resections using minimal invasive approaches focused in the higher metabolic areas are valuable options to preserve quality of life while addressing specific problems caused by the tumor, such as hydrocephalus or progressive growth of a specific component of the tumor. In this report, the authors explore the potential role of 5-ALA in the identification of highly metabolic areas during SEGA resection in the context of minimal invasive approaches.

Indexed as

5-aminolevulinic acidfluorescencelow grade gliomaminimal invasive parafascicular approachsubependymal giant cell astrocytomatuberous sclerosis

Identifiers

PMID36684213
PMCPMC9853524
OpenAlexW4313625428

What OpenQuestion 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 OpenQuestion graph.