Evidence map›Paper›PMID 31281497›Full record

ArticleTheranostics2019

Laser brain cancer surgery in a xenograft model guided by optical coherence tomography.

Nitesh Katta, Arnold D Estrada, Austin B McElroy, Aleksandra Gruslova, Meagan Oglesby, Andrew G Cabe, Marc D Feldman, Ry Declan Fleming, Andrew J Brenner, Thomas E Milner

Open access · goldAbstract read
In one paragraph

Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

21 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Towards OCT-Guided Endoscopic Laser Surgery-A Review.Diagnostics (Basel, Switzerland) · 2023
    Review
  10. Article
  11. Fiber-laser platform for precision brain surgery.Biomedical optics express · 2022
    Article
  12. Review
  13. Review
  14. Article
  15. Review
  16. Intelligent optical diagnosis and treatment system for automated image-guided laser ablation of tumors.International journal of computer assisted radiology and surgery · 2021
    Article
  17. Article
  18. Article
  19. 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

10 authors at 2 institutions in 1 country.

Nitesh KattaUniversity of Texas at Austin.
Arnold D EstradaUniversity of Texas at Austin.
Austin B McElroyUniversity of Texas at Austin.
Aleksandra GruslovaUniversity of Texas Health Science Center at San Antonio.
Meagan OglesbyUniversity of Texas Health Science Center at San Antonio.
Andrew G CabeUniversity of Texas Health Science Center at San Antonio.
Marc D FeldmanUniversity of Texas Health Science Center at San Antonio.
Ry Declan FlemingUniversity of Texas at Austin.
Andrew J BrennerUniversity of Texas Health Science Center at San Antonio.
Thomas E MilnerUniversity of Texas at Austin.
The University of Texas at Austin · USThe University of Texas Health Science Center at San Antonio · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Higher precision surgical devices are needed for tumor resections near critical brain structures. The goal of this study is to demonstrate feasibility of a system capable of precise and bloodless tumor ablation. An image-guided laser surgical system is presented for excision of brain tumors

Indexed as

AnimalsBrain NeoplasmsDisease Models, AnimalGlioblastomaHumansLaser TherapyMiceNeoplasm TransplantationSurgery, Computer-AssistedTomography, Optical CoherenceTransplantation, Heterologousbrain cancerimage-guided surgerylaser ablationOptical Coherence Tomography

Identifiers

PMID31281497
PMCPMC6587169
OpenAlexW2950287130

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.