Diagnosis of Incident Cancer After Cryptogenic Stroke: An Exploratory Analysis of the ARCADIA Randomized Trial.

Objectives The objective of this study was to estimate the incidence, timing, and type of new cancer diagnosis among patients with cryptogenic stroke.Methods We used data from the ARCADIA trial, which enrolled patients with cryptogenic stroke and atrial cardiopathy. Participants were prospectively followed, and serious adverse events were assessed every 3 months or sooner if investigators were alerted between visits to an event. Kaplan-Meier statistics were used to estimate the cumulative incidence of a cancer diagnosis within the first year after randomization.Results Among 878 participants without baseline history of cancer, 13 (1.5%) were diagnosed with incident cancer in the year after randomization, comprising 12 solid cancers (3 prostate, 2 breast, 2 gastrointestinal, and 5 other primary sites) and 1 hematologic cancer (non-Hodgkin lymphoma). The cumulative incidences of a cancer diagnosis were 0% at 3 months, 0.6% (95% CI 0.2%-1.5%) at 6 months, and 2.0% (95 CI 1.1%-3.4%) at 1 year. The median time from index stroke to cancer diagnosis was 261 days (interquartile range 183-358).Discussion In a multicenter cryptogenic stroke cohort with prospective follow-up, the 1-year cumulative incidence of a cancer diagnosis was 2%. This rate may be an underestimation because of the clinical trial population and exclusion of cancers diagnosed immediately after stroke.Trial Registration Information ClinicalTrials.gov Identifier: NCT03192215. Registered June 20, 2017. First patient enrolled February 1, 2018.

Publication Details

Journal
Open Access CRIS of the University of Bern
Published
2024-11-22
DOI
https://doi.org/10.48620/76551
Primary Topic
Evolution and Paleontology Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Diagnosis of Incident Cancer After Cryptogenic Stroke: An Exploratory Analysis of the ARCADIA Randomized Trial.

Open Access CRIS of the University of Bern
Evolution and Paleontology Studies
article

Diagnosis of Incident Cancer After Cryptogenic Stroke: An Exploratory Analysis of the ARCADIA Randomized Trial.

article en

Abstract

Objectives The objective of this study was to estimate the incidence, timing, and type of new cancer diagnosis among patients with cryptogenic stroke.Methods We used data from the ARCADIA trial, which enrolled patients with cryptogenic stroke and atrial cardiopathy. Participants were prospectively followed, and serious adverse events were assessed every 3 months or sooner if investigators were alerted between visits to an event. Kaplan-Meier statistics were used to estimate the cumulative incidence of a cancer diagnosis within the first year after randomization.Results Among 878 participants without baseline history of cancer, 13 (1.5%) were diagnosed with incident cancer in the year after randomization, comprising 12 solid cancers (3 prostate, 2 breast, 2 gastrointestinal, and 5 other primary sites) and 1 hematologic cancer (non-Hodgkin lymphoma). The cumulative incidences of a cancer diagnosis were 0% at 3 months, 0.6% (95% CI 0.2%-1.5%) at 6 months, and 2.0% (95 CI 1.1%-3.4%) at 1 year. The median time from index stroke to cancer diagnosis was 261 days (interquartile range 183-358).Discussion In a multicenter cryptogenic stroke cohort with prospective follow-up, the 1-year cumulative incidence of a cancer diagnosis was 2%. This rate may be an underestimation because of the clinical trial population and exclusion of cancers diagnosed immediately after stroke.Trial Registration Information ClinicalTrials.gov Identifier: NCT03192215. Registered June 20, 2017. First patient enrolled February 1, 2018.

Open Access CRIS of the University of Bern
Openalex Percentile: Top 54%
Evolution and Paleontology Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.