Evidence map›Paper›PMID 36082266›Full record

ReviewEuropean stroke journal2022

Endovascular treatment in patients with acute ischemic stroke and cancer: Systematic review and meta-analysis.

Danilo Caimano, Federica Letteri, Francesco Capasso, Nicola Limbucci, Patrizia Nencini, Cristina Sarti, Fana Alemseged, Guido Bigliardi, Andrea Morotti, Danilo Toni and 2 more

Abstract readReview
In one paragraph

Review in European stroke journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Intravenous thrombolysis in the context of stroke and cancer.Journal of thrombosis and thrombolysis · 2025
    Review
  8. Cerebrovascular and Peripheral Vascular Complications in Cancer Patients.Current neurology and neuroscience reports · 2025
    Review
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Long-term outcomes of mechanical thrombectomy in acute ischaemic stroke patients with concomitant malignancy.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2024
    Article
  14. Article
  15. Review
  16. Review
  17. 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

12 authors.

Danilo CaimanoNEUROFARBA Department, University of Florence, Firenze, Italy.ORCID https://orcid.org/0000-0003-3906-7686
Federica LetteriSan Jacopo Hospital, Neurology Unit, Pistoia, Italy.
Francesco CapassoNeurovascular Interventional Unit, Careggi University Hospital, Firenze, Italy.
Nicola LimbucciNeurovascular Interventional Unit, Careggi University Hospital, Firenze, Italy.
Patrizia NenciniStroke Unit, Careggi University Hospital, Firenze, Italy.
Cristina SartiNEUROFARBA Department, University of Florence, Firenze, Italy.
Fana AlemsegedDepartment of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Australia.
Guido BigliardiNeurology Clinic - Stroke Unit, Ospedale Civile di Baggiovara, Azienda Ospedaliero-Universitaria di Modena, Italy.
Andrea MorottiDipartimento di Scienze Neurologiche e della Visione, Clinica Neurologica, ASST Spedali Civili di Brescia, Brescia, Italy.
Danilo ToniNeurological Sciences, University of Rome La Sapienza, Roma, Italy.
Andrea ZiniDepartment of Neurology and Stroke Center, IRCCS Istituto delle Scienze Neurologiche, Maggiore Hospital, Bologna, Italy.
Francesco ArbaStroke Unit, Careggi University Hospital, Firenze, Italy.ORCID https://orcid.org/0000-0003-3941-7383

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Although stroke occurs frequently in patients with cancer, there is scarce evidence regarding the safety and efficacy of endovascular treatment (EVT) in patients with acute ischemic stroke and concurrent cancer. We performed a systematic review and meta-analysis to summarize the existing literature. Methods: We searched for English written observational studies reporting data on safety and efficacy of EVT in patients with acute ischemic stroke and concurrent cancer. Outcomes of interest were: functional independence (modified Rankin Scale (mRS) ⩽ 2); mortality at 3 months; rate of successful recanalization (modified Treatment In Cerebral Ischemia (mTICI) 2b or 3); occurrence of any hemorrhagic transformation (both symptomatic and asymptomatic). We pooled data with Maentel-Haenszel model to calculate cumulative odds ratios (ORs). Results: We included seven studies with a total of 4465 patients, of whom 262 (6%) with cancer. We observed various definitions of cancer across included studies. Patients with cancer had less likely mRS⩽2 at 3 months (24% vs 42%, OR = 0.44; 95% CI = 0.32-0.60) and increased probability of death (43% vs 19%, OR = 5.02; 95% CI = 2.90-8.69). There was no difference in successful recanalization (70% vs 75%, OR = 0.84; 95% CI = 0.49-1.44); patients with cancer had increased risk of any intracerebral hemorrhage after treatment (49% vs 34%, OR = 1.95; 95% CI = 1.28-2.96), though not for symptomatic ICH (OR 1.04; 95% CI = 0.59-1.85). Conclusion: Patients with acute ischemic stroke and cancer have similar EVT recanalization but higher probability of functional dependence, death, and any hemorrhagic transformation, though not necessarily symptomatic, compared with patients without cancer. Our results may help communication with patients and carers.

Indexed as

active malignancycancerdisabilityendovascular treatmentIschemic strokemortalityoutcome

Identifiers

PMID36082266
PMCPMC9446332

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.