Evidence map›Paper›PMID 31723521›Full record

ReviewCureus2019

The Relationship Between Tumor Volume and Timing of Post-resection Stereotactic Radiosurgery to Maximize Local Control: A Critical Review.

Melissa Yuan, Eltion Behrami, Susan Pannullo, Theodore H Schwartz, A Gabriella Wernicke

Open access · diamondAbstract readReview
In one paragraph

Review in Cureus, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

5 authors at 2 institutions in 1 country.

Melissa YuanNeurological Surgery, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Eltion BehramiRadiation Oncology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Susan PannulloNeurological Surgery, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Theodore H SchwartzNeurology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
A Gabriella WernickeRadiation Oncology, NewYork-Presbyterian/Weill Cornell Medical Center, New York, USA.
Cornell University · USPresbyterian Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After maximally safe neurosurgical resection of brain metastases, stereotactic radiosurgery (SRS) is now recommended as an alternative to whole-brain radiation therapy (WBRT), which has been associated with cognitive decline. One complicating factor associated with SRS is that postoperative cavity dynamics can change dramatically, creating significant variability in the recommended timing of SRS. While SRS has been shown to improve local control (LC) in smaller tumor cavities, achieving excellent LC rates still remains a challenge in larger ones. Furthermore, factors predicting the optimal timing of SRS in relation to the cavity size need to be defined and implemented. Variables such as the delay between postoperative MRI and treatment are critical but poorly understood. One potential treatment option that may improve outcomes is brachytherapy, but the widespread implementation of this technique has been slow. This critical review analyzes the relationship between preoperative tumor volume, resection cavity size, and timing of SRS and explores how these variables must be understood in order to achieve the highest LC possible.

Indexed as

brain metastasislocal controlradiationstereotactic radiosurgery

Identifiers

PMID31723521
PMCPMC6825444
OpenAlexW2975734919

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.