Evidence map›Paper›PMID 30410505›Full record

ArticleInterventional neurology2018

High-Risk Features of Delayed Clinical Progression in Cerebral Venous Thrombosis: A Proposed Prediction Score for Early Intervention.

Saif A Bushnaq, Fares Qeadan, Tapan Thacker, Mohammad Abbas, Andrew P Carlson

Open access · bronzeAbstract read
In one paragraph

Article in Interventional neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 20% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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 1 institution in 1 country.

Saif A BushnaqDepartment of Neurology, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
Fares QeadanClinical Translational Science Center, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
Tapan ThackerDepartment of Neurology, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
Mohammad AbbasDepartment of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
Andrew P CarlsonDepartment of Neurosurgery, University of New Mexico School of Medicine, Albuquerque, New Mexico, USA.
University of New Mexico · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnticoagulation is the mainstay treatment for cerebral venous thrombosis (CVT). A subset of patients might deteriorate despite anticoagulation, and in such cases, endovascular therapy is recommended.

methodsA retrospective review was performed on subjects with CVT from January 2005 to October 2016. The primary outcome was clinical deterioration. Bivariate analysis, multiple logistic regression modeling, and linear discriminant analysis were used to determine a predictive model for deterioration; the results from these models were used to construct a CVT score in order to measure the individual likelihood of deterioration.

resultsWe identified 147 subjects with CVT. The majority were treated with anticoagulation (

conclusionsDecreased mental status, seizure activity, papilledema, number of involved sinuses, as well as sodium level and platelet count are the most important factors in predicting deterioration after CVT. This group may represent a subset of patients in whom early endovascular therapy may be considered.

Indexed as

AnticoagulantsCerebral venous thrombosisDural sinus thrombosisMechanical thrombectomyThrombolysis

Identifiers

PMID30410505
PMCPMC6216705
OpenAlexW2802298834

What OpenQuestion holds

Textmetadata
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.