Evidence map›Paper›PMID 36596831›Full record

ArticleScientific reports2023

A risk model for prediction of diagnosis of cancer after ischemic stroke.

Katharina Seystahl, Dorothee Gramatzki, Miriam Wanner, Sung Ju Weber, Alessia Hug, Andreas R Luft, Sabine Rohrmann, Susanne Wegener, Michael Weller

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. 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

9 authors at 1 institution in 1 country.

Katharina SeystahlDepartment of Neurology, University Hospital and University of Zurich, CH-8091, Zurich, Switzerland. katharina.seystahl@usz.ch.ORCID 0000-0002-4072-5669
Dorothee GramatzkiDepartment of Neurology, University Hospital and University of Zurich, CH-8091, Zurich, Switzerland.
Miriam WannerCancer Registry of the Cantons of Zurich, Zug, Schaffhausen and Schwyz, University Hospital and University of Zurich, Zurich, Switzerland.
Sung Ju WeberDepartment of Neurology, University Hospital and University of Zurich, CH-8091, Zurich, Switzerland.
Alessia HugDepartment of Neurology, University Hospital and University of Zurich, CH-8091, Zurich, Switzerland.
Andreas R LuftDepartment of Neurology, University Hospital and University of Zurich, CH-8091, Zurich, Switzerland.
Sabine RohrmannCancer Registry of the Cantons of Zurich, Zug, Schaffhausen and Schwyz, University Hospital and University of Zurich, Zurich, Switzerland.
Susanne WegenerDepartment of Neurology, University Hospital and University of Zurich, CH-8091, Zurich, Switzerland.
Michael WellerDepartment of Neurology, University Hospital and University of Zurich, CH-8091, Zurich, Switzerland.
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It remains controversial which characteristics may predict occult cancer in stroke patients. Characteristics of patients with ischemic stroke registered in the Zurich Swiss Stroke Registry (2014 to 2016) were tested for associations with cancer diagnosis after stroke with consideration of death as competing risk for cancer diagnosis. Among 1157 patients, 34 (3%) and 55 patients (5%) were diagnosed with cancer within 1 and 3 years after stroke. Levels of white blood cells (WBC) > 9,600/µl (subdistribution hazard ratio (SHR) 3.68, p = 0.014), platelets > 400,000/µl (SHR 7.71, p = 0.001), and d-dimers ≥ 3 mg/l (SHR 3.67, p = 0.007) were independently associated with cancer diagnosis within 1 year after stroke. Occurrence of ischemic lesions in ≥ 2 vascular territories not attributed to cardioembolic etiology was associated with cancer diagnosed within 1 year after stroke in univariable analysis (SHR 3.69, p = 0.001). The area under the curve of a score from these parameters (score sum 0-4) was 0.73. A score of ≥ 2 had a sensitivity of 43% and specificity of 92% for prediction of cancer diagnosis within 1 year after stroke. We suggest further validation of a score of WBC, platelets, d-dimers and multiple ischemic lesions without cardioembolic stroke etiology for prediction of cancer diagnosis after stroke.

Indexed as

Brain IschemiaIschemic StrokeNeoplasms, Unknown PrimaryStrokeHumansIschemiaRisk Factors

Identifiers

PMID36596831
PMCPMC9810715
OpenAlexW4313462419

What OpenQuestion holds

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LicenceCC BY
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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.