Evidence map›Paper›PMID 31584074›Full record

ArticleNeurosurgery2020

A Proposed Grading Scale for Predicting Outcomes After Stereotactic Radiosurgery for Dural Arteriovenous Fistulas.

Nasser Mohammed, Yi-Chieh Hung, Ching-Jen Chen, Zhiyuan Xu, David Schlesinger, Hideyuki Kano, Veronica Chiang, Judith Hess, John Lee, David Mathieu and 10 more

Abstract readMulticenter Study
In one paragraph

Article in Neurosurgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Cerebral Dural Arteriovenous Fistulas.Stroke (Hoboken, N.J.) · 2022
    Review
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

20 authors.

Nasser MohammedDepartment of Neurological Surgery, University of Virginia, Charlottesville, Virginia.
Yi-Chieh HungDepartment of Neurological Surgery, University of Virginia, Charlottesville, Virginia.
Ching-Jen ChenDepartment of Neurological Surgery, University of Virginia, Charlottesville, Virginia.
Zhiyuan XuDepartment of Neurological Surgery, University of Virginia, Charlottesville, Virginia.
David SchlesingerDepartment of Neurological Surgery, University of Virginia, Charlottesville, Virginia.
Hideyuki KanoDepartment of Neurological Surgery, University of Pittsburgh, Pittsburgh, Pennsylvania.
Veronica ChiangSchool of Medicine, Yale University, New Haven, Connecticut.
Judith HessSchool of Medicine, Yale University, New Haven, Connecticut.
John LeeDepartment of Neurological Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
David MathieuDepartment of Neurological Surgery, Université de Sherbrooke, Centre de recherche du CHUS, Sherbrooke, Canada.
Anthony M KaufmannDepartment of Neurological Surgery, University of Manitoba, Winnipeg, Canada.
Inga S GrillsDepartment of Radiation Oncology, Beaumont Health System, Royal Oak, Michigan.
Christopher P CifarelliDepartment of Neurological Surgery, West Virginia University, Morgantown, West Virginia.
John A VargoDepartment of Neurological Surgery, West Virginia University, Morgantown, West Virginia.
Tomas ChytkaDepartment of Neurological Surgery, Na Homolce Hospital, Prague, Czech Republic.
Ladislava JanouskovaDepartment of Neurological Surgery, Na Homolce Hospital, Prague, Czech Republic.
Caleb E FelicianoDepartment of Neurological Surgery, University of Puerto Rico, San Juan, Puerto Rico.
Rafael Rodriguez MercadoDepartment of Neurological Surgery, University of Puerto Rico, San Juan, Puerto Rico.
L Dade LunsfordDepartment of Neurological Surgery, University of Pennsylvania, Philadelphia, Pennsylvania.
Jason P SheehanDepartment of Neurological Surgery, University of Virginia, Charlottesville, Virginia.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NCATS NIH HHS UL1 TR001863NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundThere are presently no grading scales that specifically address the outcomes of cranial dural arteriovenous fistula (dAVF) after stereotactic radiosurgery (SRS).

objectiveTo design a practical grading system that would predict outcomes after SRS for cranial dAVFs.

methodsFrom the International Radiosurgery Research Foundation (University of Pittsburgh [41 patients], University of Pennsylvania [6 patients], University of Sherbrooke [2 patients], University of Manitoba [1 patient], West Virginia University [2 patients], University of Puerto Rico [1 patient], Beaumont Health System 1 [patient], Na Homolce Hospital [13 patients], the University of Virginia [48 patients], and Yale University [6 patients]) centers, 120 patients with dAVF treated with SRS were included in the study. The factors predicting favorable outcome (obliteration without post-SRS hemorrhage) after SRS were assessed using logistic regression analysis. These factors were pooled with the factors that were found to be predictive of obliteration from 7 studies with 736 patients after a systematic review of literature. These were entered into stepwise multiple regression and the best-fit model was identified.

resultsBased on the predictive model, 3 factors emerged to develop an SRS scoring system: cortical venous reflux (CVR), prior intracerebral hemorrhage (ICH), and noncavernous sinus location. Class I (score of 0-1 points) predicted the best favorable outcome of 80%. Class II patients (2 points score) had an intermediate favorable outcome of 57%, and class III (score 3 points) had the least favorable outcome at 37%. The ROC analysis showed better predictability to prevailing grading systems (AUC = 0.69; P = .04). Kaplan-Meier analysis showed statistically significant difference between the 3 subclasses of the proposed grading system for post-SRS dAVF obliteration (P = .001).

conclusionThe proposed dAVF grading system incorporates angiographic, anatomic, and clinical parameters and improves the prediction of the outcomes following SRS for dAVF as compared to the existing scoring systems.

Indexed as

RadiosurgeryTreatment OutcomeAdolescentAdultAgedAged, 80 and overCentral Nervous System Vascular MalformationsChildFemaleHumansKaplan-Meier EstimateMaleMiddle AgedPrognosisRetrospective StudiesRisk FactorsDural arteriovenous fistulaGamma knifeGrading scoreGrading systemRadiosurgeryStereotacticStereotactic radiosurgery

Identifiers

PMID31584074
PMCPMC7528658

What OpenQuestion holds

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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.