| Literature DB >> 36012933 |
Athina-Maria Aloizou1, Daniel Richter1, Jeyanthan Charles James1, Carsten Lukas2, Ralf Gold1, Christos Krogias1.
Abstract
BACKGROUND: Ischemic stroke is a common occurrence in patients with concomitant malignancy. Systemic thrombolysis is often contraindicated in these patients, and mechanical thrombectomy (MT) is the preferred method of intervention. This review aims to collect the available data on the safety and efficacy of MT in cancer patients (CPs).Entities:
Keywords: cancer-related stroke; ischemic stroke; malignancy; thrombectomy
Year: 2022 PMID: 36012933 PMCID: PMC9410462 DOI: 10.3390/jcm11164696
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.964
Figure 1Literature search flowchart.
Included Studies, Study Characteristics, and Cancer Patient numbers.
| Author, Year | Patient Numbers | Study Characteristics |
|---|---|---|
| Awad et al., 2020 [ | 14 CP/111 MTs * (12.6% **) | MT files, mortality predictors study, any history of cancer |
| Cho et al., 2020 [ | 27 CP/378 MTs (7.2%) | MT files, active CP vs. NCP *3 |
| Ciolli et al., 2021 [ | 14 CP/305 MTs (4.5%) | MT files, active CP vs. NCP (+/− history of cancer) |
| Jeon et al., 2021 [ | 62 CRS | MT files, MT technique comparison in CRS |
| Joshi et al., 2022 [ | 19 CP/95 matched NCP | MT files, 1:5 propensity-matched analysis |
| Jung et al., 2018 [ | 19 CRS/329 MTs (5.7%) | MT files, CRS vs. non-CRS |
| Lee et al., 2019 [ | 26 CP/253 MTs (10.2%) | MT files, active CP vs. NCP, history of cancer excluded |
| Lee et al., 2021 [ | 34 CRS/341 MTs (9.9%) | MT files, CRS vs. non-CRS |
| Mattingly et al., 2022 [ | 25 CP/284 MTs (8.8%) | MT files, active CP vs. NCP |
| Merlino et al., 2021 [ | 21 CP *4/173 MTs (12.1%) | MT files, active CP vs. NCP vs. remote CP |
| Murthy et al., 2013 [ | 193CP/6766 IVT+MTs (2.8%) | IVT files, ICD codes, IVT+MT, active CP vs. NCP |
| Oki et al., 2020 [ | 12 CP/124 MTs (9.6%) | MT files, active CP vs. NCP |
| Ozaki et al., 2021 [ | 19 CP/300 MTs (6.3%) | MT files, active CP vs. NCP |
| Pana et al., 2021 [ | 1330 CP/34,420 MTs (3.8%) | IS files, ICD codes, active CP +/− metastasis vs. NCP |
| Rinaldo et al., 2019 [ | 857 CP/17,268 MTs (4.9%) | IS files, ICD codes, active CP vs. NCP |
| Sallustio et al., 2019 [ | 24 CP/24 matched NCP | MT files, 1:1 matched analysis |
| Verschoof et al., 2022 [ | 124 CP/2583 MTs (4.8%) | MR CLEAN Registry, active CP vs. NCP |
| Yoo et al., 2021 [ | 42 CP *4/685 MTs (6.1%) | MT files, active CP vs. NCP vs. remote CP |
* MTs: all MT patients. ** Data was available for 111 out of 134 MTs, a percentage possibly not representative of the CP fraction. *3 Non-cancer patients. *4 Only patients with active cancer.
Overview of baseline characteristics and cerebrovascular risk factors in cancer patients compared to non-cancer patients.
| Author, Year | Age | Sex (M/F) | AF | DM | HT | History of AIS/TIA | HL | Smoking | CAD |
|---|---|---|---|---|---|---|---|---|---|
| Cho et al., 2019 [ | - | M↑ | - | - | - | - | - | - | NA |
| Ciolli et al., 2021 [ | - | - | NA | - | - | NA | ↓ | NA | NA |
| Jung et al., 2018 [ | - | M↓ | ↓ | - | ↓ | - | - | ↓ | - |
| Lee et al., 2019 [ | ↓ | - | ↓ | - | - | - | - | NA | NA |
| Lee et al., 2021 [ | - | - | ↓ | - | - | - | - | - | - |
| Mattingly et al., 2022 [ | - | - | NA | NA | NA | NA | NA | NA | NA |
| Merlino et al., 2021 [ | - | - | - | - | - | - | - | - | - |
| Ozaki et al., 2021 [ | - | M↓ | - | - | - | NA | NA | NA | NA |
| Pana et al., 2021 [ | - | M↓ | NA | ↓ | - | - | - | - | - |
| Sallustio et al., 2019 [ | - | - | - | - | - | NA | NA | - | NA |
| Verschoof et al., 2022 [ | - | - | - | - | ↓ | - | - | ↑ | - |
| Yoo et al., 2021 [ | ↓ | - | ↓ | - | - | NA | - | - | - |
Note: -: No significant difference. ↑: Increased in cancer patients. ↓: Decreased in cancer patients.NA: Not assessed/applicable. M/F: Male/Female, M: Male. AF: Atrial fibrillation. DM: Diabetes mellitus. HT: Hypertension. TIA: Transient ischemic attack. HL: Hyperlipidemia. CAD: Coronary artery disease.
Overview of in-hospital and 90-day mortality tendency in cancer patients compared to non-cancer patients.
| Author, Year | In-Hospital Mortality | 90-Day Mortality |
|---|---|---|
| Awad et al., 2020 [ | NA | ↑ |
| Cho et al., 2020 [ | - | ↑ |
| Ciolli et al., 2021 [ | ↑ | ↑ |
| Jeon et al., 2021 [ | NA | ↑ * |
| Joshi et al., 2022 [ | NA | ↑ ** |
| Jung et al., 2018 [ | ↑ | ↑ |
| Lee et al., 2019 [ | NA | ↑ |
| Lee et al., 2021 [ | ↑ | ↑ |
| Mattingly et al., 2022 [ | NA | ↑ |
| Merlino et al., 2021 [ | - | - |
| Murthy et al., 2013 [ | - | NA |
| Oki et al., 2020 [ | ↑ * | ↑ * |
| Ozaki et al., 2021 [ | NA | - |
| Pana et al., 2021 [ | - | NA |
| Rinaldo et al., 2019 [ | ↑ | NA |
| Sallustio et al., 2019 [ | - | ↑ *3 |
| Verschoof et al., 2022 [ | ↑ | ↑ |
Note: -: No significant difference. ↑: Increased in cancer patients. NA: Not assessed/applicable. * Study did not compare CP and NCP, increased based on respective NCP metrics of other similar studies. ** Not statistically significant, missing patient data. *3 1:1 matched analysis of 24 CPs, more than double 90DM but not statistically significant.
Overview of symptomatic and any ICH, and hemorrhagic transformation tendencies in cancer patients compared to non-cancer patients.
| Author, Year | sICH | Any ICH | HT |
|---|---|---|---|
| Cho et al., 2020 [ | - | - | NA |
| Ciolli et al., 2021 [ | - | - | NA |
| Jeon et al., 2021 [ | ↑ * | ↑ * | NA |
| Joshi et al., 2022 [ | NA | NA | ↑ |
| Lee et al., 2019 [ | NA | ↑ | NA |
| Lee et al., 2021 [ | NA | ↑ | - |
| Mattingly et al., 2022 [ | NA | - | NA |
| Merlino et al., 2021 [ | ↑/- | NA | NA |
| Murthy et al., 2013 [ | NA | - | NA |
| Oki et al., 2020 [ | NA | NA | ↑ * |
| Ozaki et al., 2021 [ | - | NA | NA |
| Rinaldo et al., 2019 [ | NA | - | NA |
| Sallustio et al., 2019 [ | - | - | NA |
| Verschoof et al., 2022 [ | - | NA | NA |
| Yoo et al., 2021 [ | - | NA | - |
Note: -: No significant difference. ↑: Increased in cancer patients. NA: Not assessed/applicable.* Study did not compare CP and NCP, increased based on respective NCP metrics of other similar studies.
Overview of 90-daymRS scores and functional independence tendencies in cancer patients compared to non-cancer patients.
| Author, Year | 90D MRS | 90D FI |
|---|---|---|
| Cho et al., 2020 [ | NA | - |
| Ciolli et al., 2021 [ | NA | - |
| Jeon et al., 2021 [ | ↓ * | ↓ * |
| Joshi et al., 2021 [ | - | - |
| Jung et al., 2018 [ | NA | ↓ |
| Mattingly et al., 2022 [ | ↓ | - |
| Merlino et al., 2021 [ | NA | - |
| Lee et al., 2019 [ | ↓ | ↓ |
| Lee et al., 2021 [ | ↓ | ↓ |
| Ozaki et al., 2021 [ | - | ↓ |
| Sallustio et al., 2019 [ | NA | - |
| Verschoof et al., 2022 [ | ↓ | ↓ |
| Yoo et al., 2021 [ | ↓ | - |
Note: -: No significant difference.↓: Decreased in cancer patients. NA: Not assessed/applicable. * Study did not compare CP and NCP, increased based on respective NCP metrics of other similar studies. ** Study compared functional dependency, defined as mRS 3–5, FI rates deducted from the available data.