Evidence map›Paper›PMID 39367633›Full record

ArticleEuropean journal of neurology2024

Cerebral venous thrombosis in elderly patients.

Victor Garcia, Louise Bicart-Sée, Isabelle Crassard, Nicolas Legris, Mathieu Zuber, Fernando Pico, Céline Guidoux, Michael Obadia, Naouel Boulenoir, Didier Smadja and 7 more

Abstract readMulticenter Study
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Cerebral venous thrombosis in elderly patients.European journal of neurology · 2024
    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

17 authors.

Victor GarciaStroke Units and Department of Neurology of Hôpital Bicêtre, Le Kremlin Bicêtre, Assistance Publique-Hôpitaux de Paris, Paris Saclay University, Paris, France.
Louise Bicart-SéeStroke Units and Department of Neurology of Hôpital Bicêtre, Le Kremlin Bicêtre, Assistance Publique-Hôpitaux de Paris, Paris Saclay University, Paris, France.
Isabelle CrassardHôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, University of Paris City, INSERM 1144, Paris, France.
Nicolas LegrisStroke Units and Department of Neurology of Hôpital Bicêtre, Le Kremlin Bicêtre, Assistance Publique-Hôpitaux de Paris, Paris Saclay University, Paris, France.
Mathieu ZuberHôpital Saint-Joseph, Paris, France.
Fernando PicoHôpital André Mignot, Versailles, France.
Céline GuidouxHôpital Bichat, Assistance Publique-Hôpitaux de Paris, Paris, France.
Michael ObadiaHôpital Fondation Rothschild, Paris, France.
Naouel BoulenoirStroke Units and Department of Neurology of Hôpital Bicêtre, Le Kremlin Bicêtre, Assistance Publique-Hôpitaux de Paris, Paris Saclay University, Paris, France.
Didier SmadjaHôpital Sud Francilien, Paris, France.
Mikael MazighiHôpital Lariboisière, Assistance Publique-Hôpitaux de Paris, University of Paris City, INSERM 1144, Paris, France.
Cecile Lavenu-BombledDepartment of Hematology, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Paris, France.
Elodie BaudryDepartment of Geriatry, Hôpital Bicêtre, Assistance Publique-Hôpitaux de Paris, Paris, France.
Bertrand LapergueHôpital Foch, Suresnes, France.
Guillaume TurcHôpital Sainte-Anne, Paris, France.
Philippe TuppinFrench National Health Insurance (CNAM), Paris, France.
Christian DenierStroke Units and Department of Neurology of Hôpital Bicêtre, Le Kremlin Bicêtre, Assistance Publique-Hôpitaux de Paris, Paris Saclay University, Paris, France.ORCID 0000-0002-2087-5563

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeWe aimed to report the characteristics of cerebral venous thrombosis (CVT) in elderly people (aged ≥65 years).

methodsThis multicenter retrospective cohort included elderly patients hospitalized for a first CVT in nine Paris-Ile-de-France hospitals between 2011 and 2021. The estimated incidence was compared to CVT recorded by the French health insurance data system. Lariboisière Hospital's CVT registry allowed comparisons of our elderly cohort with individuals younger than 65 years.

resultsOne hundred fourteen patients were included in this study (mean age = 74.2 years, range = 65-93, 61% female). The CVT annual incidence in Ile-de-France was 5.9-7.1 per million elderly individuals versus 8.5 per million nationwide. Headaches and focal deficits were the most common initial clinical features (50% and 51%, respectively), followed by seizures and confusion (40% and 27%). Treatment included anticoagulation (93%) and, rarely, endovascular procedure (2%) or craniectomy (1%). Compared with adult patients aged <65 years (younger adults), elderly patients presented fewer headaches (50% vs. 96%, p < 0.01) and intracranial hypertension (7% vs. 22%, p < 0.01) but more seizures and focal deficits (40% vs. 27% and 51% vs. 38%, respectively, p < 0.01). Underlying cancer, hemopathy, and locoregional infections were more frequent in elderly patients than among younger adults (p < 0.01). The prognosis of patients from our elderly cohort was poorer than that of younger adults; 8% died in the acute phase, and 73% had a favorable outcome at 1 year (vs. 1.7% and 87%, respectively, p < 0.01).

conclusionsCVT in elderly patients has a specific clinical presentation, epidemiology, and risk factors such as cancer or hemopathy, justifying specialized management.

Indexed as

Intracranial ThrombosisVenous ThrombosisAgedAged, 80 and overAge FactorsFemaleFranceHumansIncidenceMaleMiddle AgedRetrospective Studiescerebral venous thrombosiscohortelderlyetiologyincidenceprognosisrisk factorsthrombophlebitis

Identifiers

PMID39367633
PMCPMC11554858

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Registered trials

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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.