Evidence map›Paper›PMID 31435308›Full record

ArticleJournal of Taibah University Medical Sciences2018

Endovascular suction thrombectomy for severe cerebral venous sinus thrombosis: A report of two cases.

Ahmed A Najjar, Jameel K Rasheedi, Khalil I Kurdi, Ahmed A Hasan, Mohammed A Almekhlafi, Saleh S Baeesa

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of Taibah University Medical Sciences, 2018. 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
0.2field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 2 institutions in 1 country.

Ahmed A NajjarDivision of Neurosurgery, Faculty of Medicine, King Abdulaziz University, Jeddah, KSA.
Jameel K RasheediDivision of Neurology, Faculty of Medicine, King Abdulaziz University, Jeddah, KSA.
Khalil I KurdiDepartment of Radiology, King Faisal Specialist Hospital and Research Centre, Jeddah, KSA.
Ahmed A HasanDepartment of Neurosciences, King Faisal Specialist Hospital and Research Centre, Jeddah, KSA.
Mohammed A AlmekhlafiDivision of Neurology, Faculty of Medicine, King Abdulaziz University, Jeddah, KSA.
Saleh S BaeesaDivision of Neurosurgery, Faculty of Medicine, King Abdulaziz University, Jeddah, KSA.
King Abdulaziz University · SAKing Faisal Specialist Hospital & Research Centre · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cerebral venous sinus thrombosis (CVST) is a severe clinical condition that manifests with diverse symptoms that can be mild, taking the form of a headache, or can be life-threatening, with raised intracranial pressure and herniation. Despite systemic anticoagulation treatment, CVST still carries a mortality risk of approximately 10% because of the failure of venous recanalization by anticoagulants alone. This paper describes two cases with extensive CVST who presented with progressive neurological deterioration despite adequate systemic anticoagulation treatment. Both patients were successfully treated with endovascular clot removal using suction thrombectomy techniques with immediate recanalization of the sinuses and rapid radiographic improvement. The described therapy appears effective and safe; however, further studies are needed to validate the effectiveness of this treatment.

Indexed as

AnticoagulationCerebral venous sinus thrombosisEndovascularOutcomeThrombectomyThrombolysis

Identifiers

PMID31435308
PMCPMC6694903
OpenAlexW2739334596

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.