Evidence map›Paper›PMID 32874734›Full record

ReviewSurgical neurology international2020

Laser interstitial thermal therapy in neuro-oncology applications.

Christopher S Hong, Adam J Kundishora, Aladine A Elsamadicy, Veronica L Chiang

Open access · hybridAbstract readReview
In one paragraph

Review in Surgical neurology international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Guideline
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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

4 authors at 3 institutions in 2 countries.

Christopher S HongDepartment of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, United States.
Adam J KundishoraDepartment of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, United States.
Aladine A ElsamadicyDepartment of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, United States.
Veronica L ChiangDepartment of Neurosurgery, Yale University School of Medicine, New Haven, Connecticut, United States.
Stony Brook University · USKanazawa University · JPNeurological Surgery · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaser interstitial thermal therapy (LITT) is a minimally invasive surgical treatment for multiple intracranial pathologies that are of growing interest to neurosurgeons and their patients and is emerging as an effective alternative to standard of care open surgery in the neurosurgical armamentarium. This option was initially considered for those patients with medical comorbidities and lesion-specific characteristics that confer excessively high risk for resection through a standard craniotomy approach but indications are changing.

methodsThe PubMed database was searched for studies in the English literature on LITT for the treatment of primary and metastatic brain tumors, meningiomas, as well as for radiation necrosis (RN) in previously irradiated brain tumors.

resultsThis review provides an update of the relevant literature regarding application of LITT in neurosurgical oncology for the treatment of

conclusionThe studies discussed in this review have helped define the role of LITT in neurosurgical oncology and delineate optimal patient selection and tumor characteristics most suitable to this intervention.

Indexed as

Brain metastasisCraniotomyGliomaLaser interstitial thermal therapyMeningiomaRadiation necrosis

Identifiers

PMID32874734
PMCPMC7451173
OpenAlexW3082681690

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.