Introduction
Immune checkpoint inhibitors (ICIs) have revolutionized cancer treatment over the past 2 decades, transforming the landscape of cancer management [ 1 ]. Adaptive immune dysregulation plays a fundamental role in tumorigenesis. Cancer cells evade the immune system by utilizing the immune checkpoints such as programmed death protein 1 (PD-1), programmed death ligand 1 (PD-L1), cytotoxic T-lymphocyte associated protein 4 (CTLA-4), and lymphocyte activation gene 3 (LAG-3) used by healthy tissues to maintain self-tolerance. ICIs are monoclonal antibodies that target these checkpoints promoting immune surveillance and resulting in a robust anti-tumor immune response and destruction of malignant cells [ 2 ].
However, the impact of immune checkpoint inhibition is not limited to the tumor microenvironment. Immune checkpoints such as PD-1/PD-L1 and CTLA-4 are widely expressed across various healthy tissues. Consequently, downregulation of immune checkpoints can trigger the immune system to attack healthy tissues. The most frequently noted adverse events involve gastrointestinal, dermatologic, endocrine, and pulmonary systems. The increased use of ICIs over the past 2 decades helped to establish the characteristic features of these adverse events.
In contrast, neurological adverse events are more difficult to recognize and diagnose because their manifestations are non-specific [ 3 ]. The majority of available data in the literature comes from case reports and pharmacovigilance studies, which describe the onset of these conditions in a temporal relationship with ICI initiation [ 3 ]. It is also unclear how many of these symptoms have arisen due to prior/concurrent systemic cancer therapy such as chemotherapy or vascular endothelial growth factor (VEGF)-directed therapy because many of these medications are also associated with neurological side effects.
Determining whether these adverse events are related to ICIs is crucial for guiding their management strategies. Management begins with discontinuation of the ICI, followed by the initiation of immunosuppressive agents, such as corticosteroids, intravenous immunoglobulin, or mycophenolate mofetil, depending on the specific neurological adverse event. One of the vital steps in determining the etiology of an adverse event is estimating its incidence in isolation, independent of other systemic therapeutic agents.
To address these goals, we conducted a systematic review and meta-analysis to estimate the incidence of neurological adverse events in clinical trials assessing the safety of ICIs as a sole agent in the treatment of cancer patients who are treatment-naïve.
Methods
Registration and protocol
The protocol for this study was prospectively registered on the international prospective register of systematic reviews (PROSPERO; CRD420261290942). We followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines in conducting this study.
Search strategy
On November 25, 2025, we searched PubMed, Embase, Scopus, and Cochrane Central Register of Controlled Trials (CENTRAL). The following search query was used (immune check-point inhibitors OR immune check-point inhibitor OR immune checkpoint inhibitors OR immune checkpoint inhibitor OR immune check point inhibitors OR immune check point inhibitor OR Ipilimumab OR Tremelimumab OR Yervoy OR Pidilizumab OR Opdivo OR Nivolumab OR Pembrolizumab OR Keytruda OR Tecentriq OR Atezolizumab OR Durvalumab OR Imfinzi OR Avelumab OR Bavencio OR cemiplimab OR Libtayo OR Jemperli OR Dostarlimab) AND (cancer OR neoplasm OR tumor OR tumour OR carcinoma OR metastasis OR leukemia OR lymphoma OR myeloma OR sarcoma OR melanoma) AND (clinical trials OR clinical trial OR trial).
The search results were downloaded and imported into Rayyan, a screening tool for systematic reviews and meta-analyses.
Exposures and outcomes
The exposure of interest was any ICI including CTLA-4 inhibitors, PD-1 inhibitors, PD-L1 inhibitors, and LAG-3 inhibitors. The outcomes of interest were neurological adverse events including myelitis, myositis, myasthenia gravis, multiple sclerosis (MS), acute inflammatory demyelinating polyneuropathy (AIDP), chronic inflammatory demyelinating polyneuropathy (CIDP), peripheral neuropathy, autoimmune encephalitis, epilepsy, and aseptic meningitis between 2 and 60 months after the initiation of ICI. Myelitis was defined as inflammatory syndrome of the spinal cord causing bilateral motor and sensory dysfunction with MRI findings confirming the diagnosis. MS was defined as immune-mediated demyelinating disease of the CNS, characterized by dissemination in time and space. Autoimmune encephalitis was defined as subacute neuropsychiatric decline characterized by altered mental status, seizures, or psychiatric symptoms with magnetic resonance imaging (MRI) or cerebrospinal fluid (CSF) findings supporting the diagnosis. Epilepsy was defined as two or more unprovoked seizures more than 24 h apart. Aseptic meningitis was defined as headaches, fevers, neck stiffness, and photophobia with CSF analysis suggestive of inflammation but negative for bacterial, viral, fungal, or parasitic causes. Myositis was defined as proximal muscle weakness, elevated creatinine kinase, and electromyography (EMG), MRI or antibodies suggestive of the disease. Myasthenia gravis was defined as fatigable muscle weakness, with serological evidence or EMG findings supporting the diagnosis. AIDP was defined as monophasic demyelinating polyneuropathy with rapid ascending weakness with areflexia. CIDP was defined as chronic demyelinating neuropathy with progressive or relapsing weakness. Peripheral sensory neuropathy was defined as sensory or motor dysfunction of the peripheral nerves that do not fit the definition of AIDP or CIDP.
Study selection
The inclusion criteria of our paper were (i) phase I, II, or III clinical trials that (ii) included treatment-naïve adults (age > 18 years old) with cancer and (iii) assessed the safety of ICIs as the sole treatment agent or combined with other local treatments. The exclusion criteria involved (i) trials among children, (ii) trials included previously treated patients with any systemic therapy other than ICIs, or (iii) trials that assessed the safety of ICIs in combination with other systemic therapies.
The study selection was performed in two stages; (i) title and abstract screening followed by (ii) full-text review. The selection process was done on Rayyan by AAT and TNA independently and any discrepancies were solved through discussion.
Data extraction
The data extraction was performed on a prepared excel sheet. The data extraction variables included author information, the design of the trial, the trial phase, sample size, number of males/females, mean age, type and stage of cancer, the ICI used, and the data regarding the outcomes of interest.
The data extraction was conducted by AAT and TNA independently, and any discrepancies were resolved through discussion.
Data analysis
The data analysis was done on MetaXL version 5.3 (EpiGear International, Australia). The incidence and its 95% confidence intervals (95%CIs) were used as the effect measures of interest [ 4 ]. The incidences of the neurological adverse events of interests were pooled using the random-effects model with double arcsine transformation. We first pooled the rates of all the neurological adverse events followed by analyzing the rate of each adverse event solely. We also conducted a subgroup analysis according to the number of ICIs used in the trial (one versus two) and the type of cancer. The subgroup analysis based on the type of cancer was done as feasible with at least three trials on the same type of cancer to conduct a subgroup analysis of that cancer. Across all analyses, p value < 0.050 was considered as statistically significant difference. The heterogeneity among the included studies was assessed using I 2 and Cochrane Q statistics. Heterogeneity was considered significant if the I 2 ≥ 50% and the p value < 0.050 while it was considered insignificant if I 2 < 50% or the p value > 0.050.
Results
Search results
Our search yielded 5474 articles, of which 2225 articles were duplicates. The remaining 3249 articles were screened using their titles and abstracts. Of these, 3022 articles were excluded as irrelevant, observational studies, editorials, reviews, ongoing trials, or trials that used other systemic therapies in combination with ICIs (concurrent therapy). The remaining 227 articles were screened using their full-text form and 196 articles were excluded because they did not report any data about the outcomes of interest or they included patients who were previously treated with other systemic therapies (not treatment-naïve patients). Finally, 31 articles were included in the final analysis. Supplementary references demonstrate the citations of the included papers. Figure 1 describes the study selection process along with reasons for exclusion.

Characteristics of the included trials
The total number of the included patients was 8,825 from 31 articles. Of the included articles, 9.7% were phase I, 41.9% were phase II, and 48.4% were phase III clinical trials. Moreover, 22.6% included patients with NSCLC, 16.1% included patients with melanoma, and 9.6% included patients with HCC. The rest of the papers included patients with renal cell carcinoma, urothelial carcinoma, breast cancer, bladder cancer, gastric cancer, prostate cancer, ovarian cancer, and head and neck cancer. Additionally, 25.8% assessed two ICIs combined, and 61.3% assessed one ICI while the rest (12.9%) assessed one or two ICIs combined. The mean age of the included patients was 64.1 ± 11.5. The male to female ratio in the included trials was 2.27. Table 1 demonstrates the characteristics of the included studies.
Table 1
The characteristics of the included patients
HCC hepatocellular carcinoma, HNSCC head and neck squamous cell carcinoma, NSCLC non-small cell lung cancer, RCC renal cell carcinoma, and SCC squamous cell carcinoma
| Last author et al., year | Design | Phase | Sample size | Age of the included patients Mean (standard deviation) | Male to female ratio | Type of cancer |
| Van Dijk et al., 2020 | Multi-center single arm | II | 24 | 65 (8) | 3 | Stage III urothelial cancer |
| Yau et al., 2022 | Multi-center randomized | III | 743 | 65 (4) | 5.63 | Stage I–III HCC |
| Hasegawa et al., 2022 | Multi-center single arm | I | 31 | 69 (10) | 2.1 | Stage I–III gastric cancer |
| Kuemmel et al., 2025 | Multi-center single arm | II | 43 | 57 (14) | N/A | Stage I–III breast cancer |
| Grivas et al., 2024 | Multi-center randomized | I | 40 | 57 (10) | 2.08 | Stage I–III muscle invasive bladder cancer |
| Chaft et al., 2022 | Multi-center single arm | II | 181 | 65 (9) | 0.95 | Stage IB–IIIB NSCLC |
| Becker et al., 2023 | Multi-center open label | II | 118 | 71 (13) | 1.95 | Stage I–IV Merkel cell carcinoma |
| Altorki et al., 2021 | Single-center randomized | II | 30 | 71 (2) | 1.14 | Stage I–III NSCLC |
| Piganta et al., 2023 | Multi-center randomized | III | 651 | 60 (14) | N/A | Stage III–IV ovarian cancer |
| Powles et al., 2022 | Multi-center randomized | III | 496 | 60 (4) | 2.33 | Stage I–IV RCC |
| Eichhorn et al., 2025 | Single-center single arm | II | 29 | 61.3 (11) | 0.81 | Stage II–III NSCLC |
| Shao et al., 2025 | Single-center single arm | II | 30 | 66.9 (10.3) | 14 | Stage II–III HCC |
| Rusch et al., 2023 | Multi-center single arm | II | 181 | 65 (9) | 1.06 | Stage I–III NSCLC |
| Albiges et al., 2020 | Multi-center randomized | III | 550 | 62 (15) | 3.01 | Stage IV RCC |
| Ascierto et al., 2020 | Multi-center randomized | III | 906 | 55 (5) | 1.39 | Stage III–IV melanoma |
| Breukers et al., 2025 | Multi-center randomized | II | 50 | 76 (15) | 4.56 | Stage I–IV SCC |
| Hui et al., 2017 | Multi-center randomized | I | 101 | 68 (13) | 1.46 | Stage IV NSCLC |
| Beer et al., 2017 | Multi-center randomized | III | 400 | 70 (12) | N/A | Stage I–IV prostate cancer |
| Wolchok et al., 2024 | Multi-center randomized | III | 941 | 61 (17) | 1.82 | Stage III–IV melanoma |
| Shaverdashvili et al., 2023 | Multi-center single arm | II | 47 | 79 (10) | 1.35 | Stage III–IV NSCLC |
| Eggermont et al., 2015 | Multi-center randomized | III | 475 | 51 (16) | 1.65 | Stage III Melanoma |
| Allaf et al., 2024 | Multi-center randomized | III | 381 | 60 (14) | 2.37 | Stage I–IV RCC |
| Kim et al., 2024 | Multi-center randomized | II | 48 | 61 (14) | 8.6 | Stage II–IVa HNSCC |
| Rizvi et al., 2020 | Multi-center randomized | III | 326 | 64 (13) | 2.43 | Stage IV NSCLC |
| Long et al., 2024 | Multi-center randomized | III | 656 | 60 (14) | 1.95 | Stage III–IV melanoma |
| Ascierto et al., 2018 | Multi-center randomized | III | 210 | 64 (17) | 1.36 | Stage III–IV melanoma |
| Bergmann et al., 2025 | Multi-center randomized | III | 157 | 61 (18) | 2.49 | Stage III–IV RCC |
| Zandberg et al., 2025 | Multi-center randomized | II | 28 | 72.5 (13) | 0.04 | Stage III–IV SCC |
| Vasudev et al., 2023 | Multi-center randomized | II | 192 | 62 (13) | 3.47 | Stage III–IV RCC |
| Yau et al., 2025 | Multi-center randomized | III | 335 | 65 (3) | 4.23 | Stage I–IV HCC |
| Motzer et al., 2019 | Multi-center randomized | III | 425 | 62 (15) | 2.83 | Stage III–IV RCC |
Incidence of all neurological adverse effects
A total of 31 articles were included in the model that assessed the incidence of all neurological adverse effects. The model found that the pooled incidence of neurological adverse events was 1.78*10 –3 % (95%CI 1.06*10 –3 %–2.78*10 –3 %); the heterogeneity of the model was significant ( I 2 = 35.4%, p = 0.028).
Subgroup analysis of trials that assessed one ICI included 19 articles and found an incidence of 1.83*10 –3 % (95%CI 0.81*10 –3 %–3.22*10 –3 %); the heterogeneity of the model was not significant ( I 2 = 25.6%, p = 0.149). The model that pooled trials that assessed two ICIs combined included eight articles and found an incidence of 0.90*10 –3 % (95%CI 0.03*10 –3 %–2.64*10 –3 %); the heterogeneity of the model was not significant ( I 2 = 2.3%, p = 0.412). There was no significant difference in the incidence between the two groups ( p = 0.481).
Subgroup analysis according to the type of cancer demonstrated no significant difference ( p > 0.622) in the incidence of neurological adverse effects between patients with HCC ( n = 3 trials, incidence = 1.20*10 –3 %; 95%CI 0.01*10 –3 %–3.67*10 –3 %), patients with NSCLC ( n = 7 trials, incidence = 1.83*10 –3 %; 95%CI 0.01*10 –3 %–6.04*10 –3 %), and melanoma ( n = 5 trials, incidence = 1.16*10 –3 %; 95%CI 0.22*10 –3 %–2.71*10 –3 %). The heterogeneity of the models was not significant ( I 2 < 20%, p > 0.289).
Incidence of each type of neurological adverse effect
Among all the included trials, peripheral neuropathy had the highest incidence with a rate of 1.34*10 –3 % (95%CI 0.61*10 –3 %–2.3*10 –3 %); the heterogeneity of the model was not significant ( I 2 = 10.0%, p = 0.308). Subgroup analysis demonstrated no difference in the incidence of peripheral neuropathy between trials that assessed one ICI compared to those that used two ICIs combined (Table 2 ). The heterogeneity of both models was not significant ( I 2 < 19.4%, p > 0.289). Analysis based on the cancer type showed no difference in the incidence of peripheral neuropathy between trials among patients with HCC, NSCLC, and melanoma (Table 2 ). The heterogeneity of the models was not significant ( I 2 < 19.4%, p > 0.289).
Table 2
The incidence of adverse neurological events across different subgroups expressed as incidence*10 –3 % (95% confidence interval)
AIDP autoimmune demyelinating polyneuropathy, HCC hepatocellular carcinoma, ICI immune checkpoint inhibitor, NSCLC non-small cell lung cancer
| Adverse event | One ICI | Two ICIs combined | HCC | NSCLC | Melanoma |
| Peripheral neuropathy | 1.02 (0.28–2.08) | 0.91 (0.01–2.70) | 1.45 (0.01–4.89) | 1.64 (0.01–4.82) | 1.16 (0.22–2.71) |
| Myositis | 0.91 (0.23–1.97) | 0.69 (0.01–1.95) | 0.53 (0.01–2.32) | 1.64 (0.01–4.82) | 0.37 (0.01–1.19) |
| Aseptic meningitis | 0.78 (0.16–1.78) | 0.69 (0.01–1.95) | 0.53 (0.01–2.32) | 1.64 (0.01–4.82) | 0.37 (0.01–1.19) |
| AIDP | 0.69 (0.12–1.65) | 0.69 (0.01–1.95) | 0.53 (0.01–2.32) | 1.64 (0.01–4.82) | 0.51 (0.01–1.42) |
| Epilepsy | 0.69 (0.12–1.65) | 0.69 (0.01–1.95) | 0.53 (0.01–2.32) | 1.64 (0.01–4.82) | 0.37 (0.01–1.19) |
| Myasthenia gravis | 0.69 (0.12–1.65) | 0.69 (0.01–1.95) | 0.53 (0.01–2.32) | 1.64 (0.01–4.82) | 0.37 (0.01–1.19) |
The pooled incidence of myositis was 0.78 *10 –3 % (95%CI 0.29*10 –3 %–1.49 *10 –3 %); the heterogeneity of the model was not significant ( I 2 = 0.0%, p = 0.993). There was no difference in the incidence of myositis between trials that used one ICI compared to those that used two ICIs (Table 2 ). The heterogeneity of both models was not significant ( I 2 = 0.0%, p > 0.880). There was no significant difference in the incidence between patients with HCC, NSCLC, and melanoma (Table 2 ). The heterogeneity of the models was not significant ( I 2 = 0.0%, p > 0.725).
The pooled incidence of aseptic meningitis was 0.71*10 –3 % (95%CI 0.25*10 –3 %–1.40*10 –3 %); the model had insignificant heterogeneity ( I 2 = 0.0%, p = 1.000). There was no difference in the incidence of aseptic meningitis between trials that assessed one ICI compared to those that assessed two ICIs (Table 2 ); the heterogeneity of both models was not significant ( I 2 = 0.0%, p > 0.985). There was also no difference between trials among patients with HCC, NSCLC, and melanoma (Table 2 ). The heterogeneity of the models was not significant ( I 2 = 0.0%, p > 0.725).
The pooled incidence of autoimmune demyelinating polyneuropathy was 0.66*10 –3 % (95%CI 0.21*10 –3 %–1.32*10 –3 %); the heterogeneity of the model was not significant ( I 2 = 0.0%, p = 1.000). There was no difference in the incidence of AIDP between trials that assessed one ICI compared to those that assessed two ICIs (Table 2 ). There was also no difference in the incidence between patients with HCC, NSCLC, and melanoma (Table 2 ). The heterogeneity of the models was not significant ( I 2 = 0.0%, p > 0.532).
The pooled incidence of epilepsy was 0.66 *10 –3 % (95%CI 0.21*10 –3 %–1.32*10 –3 %); the heterogeneity of the model was not significant ( I 2 = 0.0%, p = 1.000). There was no difference in the incidence of epilepsy between trials that assessed one ICI compared to those that assessed two ICIs (Table 2 ). The heterogeneity of the models was not significant ( I 2 = 0.0%, p > 0.982). There was also no significant difference in the incidence of epilepsy between trials among patients with HCC, NSCLC, and melanoma (Table 2 ). The heterogeneity of the models was not significant ( I 2 = 0.0%, p > 0.725).
The pooled incidence of myasthenia gravis was 0.66*10 –3 % (95%CI 0.21*10 –3 %–1.32*10 –3 %). The incidence of myasthenia gravis was not different between trials that assessed one ICI compared to those that assessed two ICIs (Table 2 ). The heterogeneity of the models was not significant ( I 2 = 0.0%, p > 0.725). The incidence was not different between patients with HCC, NSCLC, and melanoma (Table 2 ). The heterogeneity of the models was not significant ( I 2 = 0.0%, p > 0.983).
There were no cases of CIDP, MS, or autoimmune encephalitis reported in the included trials.
Discussion
Our systematic review and meta-analysis aimed to estimate the incidence of neurological adverse events due to ICI among treatment-naïve patients with cancer during clinical trials that investigated their use as a single-agent therapy. Our analysis revealed three key findings. First, the incidence of ICI-related neurological adverse events in clinical trials is low and is estimated at one adverse event per 5000 treated patients. Second, the most commonly reported neurological adverse events were peripheral neuropathy followed by myositis, aseptic meningitis, AIDP, epilepsy, and myasthenia gravis. Third, there was no difference in the incidence of the reported adverse events based on the number of ICIs used or the type of cancer.
The potential of ICI has been hindered by their immune-related adverse events [ 5 ]. A previous systematic review and meta-analysis that was done by Amaud-Coffin and collaborators to investigate the incidence of immune-related adverse events of ICIs among clinical trials demonstrated that grade ≥ 3 immune-related adverse events were estimated at 14% among patients treated with PD-1/PD-L1 inhibitors and 34% among patients treated with CTLA-4 inhibitors [ 6 ]. However, neurological immune adverse events represent a minority of these. A previous systematic review conducted by Cuzzubbo and collaborators [ 7 ] that reviewed the literature reporting neurological adverse events associated with ICIs estimated that the incidence of grade ≥ 3 adverse events in the clinical trials was less than 0.7% with the majority of them being headaches. In contrast, our study found a lower incidence of neurological adverse events, estimated at one per 5000 patients. The large difference in the estimated incidence stems from two major methodological differences. First, we did not include non-specific neurological adverse events such as headaches. Second, we had more strict exclusion criteria compared to the study done by Cuzzubbo and collaborators [ 7 ] as we excluded trials that included patients previously treated with systemic therapies other than ICI and trials that tested other systemic therapies in combination with ICIs. We followed these exclusion criteria to limit the impact of other chemo- and immunotherapies that are known to cause similar neurological adverse events.
In terms of the most commonly reported neurological adverse events, we found that peripheral neuropathy and myositis had the highest incidence. A previous systematic review and meta-analysis of published case reports in the literature found 428 case reports with the most commonly reported adverse events being myositis and peripheral neuropathy [ 8 ] which is consistent with our findings. This highlights that the general epidemiological scheme of reporting between the clinical trials and real-world data is similar. It is important to highlight that case reports of myelitis, encephalitis, and multiple sclerosis were found in the aforementioned review but not in our analysis. Two main hypotheses might explain these differences. One possible explanation is that these syndromes may be caused by previous/concurrent exposure to other systemic therapies, or simply cancer progression [ 9 – 12 ]. It is also possible that these cases needed more time or were more latent in their presentation compared to the follow-up duration of the clinical trials [ 13 ].
We did not find a difference in the incidence of neurological adverse events based on the type of cancer. These findings are somewhat similar but also different from the work done by Marini et al. using the case reports published in the literature [ 8 ]. Similar to our findings, Marini and colleagues [ 8 ] found that there was no significant difference in the overall neurological adverse events incidence across different cancer types. However, they found that only peripheral neuropathy was more common among patients with melanoma compared to other cancer types [ 8 ]. Again, these findings should consider the caveat that the study included cases previously treated with other systemic therapies [ 8 ]. Another explanation for the lack of significance in our findings is the small number of events found in the trials which could limit the power of the analysis.
Surprisingly, we also did not find a significant difference in the incidence of the neurological adverse events between trials that assessed one ICI compared to the trials that assessed two ICIs combined. A previous single center retrospective cohort study of 1834 patients who received ICI demonstrated that grade ≥ 3 neurological adverse events were reported in 1.5% among patients treated with single ICI compared to 3% among patients treated with dual agents combined [ 5 ]. However, our findings raise the question whether more hits on the same pathway (immune tolerance) would increase the frequency of ICI-related neurological adverse events, or whether once a hit is tolerated by the autoimmune system, a concurrent hit on the same pathway will have no effect.
Before concluding, few limitations should be acknowledged. First, the low number of events limited the power of the subgroup analysis. Second, we did not assess the quality of the clinical trials as the aim of the paper was neither focused on the safety nor the efficacy of ICI, which has already been established, but rather on better understanding the neurological adverse events associated with ICI. Third, we were not able to conduct a subgroup analysis for cancers other than NSCLC, HCC, and melanoma because the rest of the cancers were evaluated by less than three trials. Future meta-analyses with a larger number of trials should aim to perform such subgroup analyses. Finally, we did not use the previously proposed definitions of ICI-related neurological adverse events like the one proposed by Guidon et al. 2021 which would categorize these events. However, we preferred to isolate each disease separately in the analysis as the clinical management of each one of these adverse events might be different. Moreover, the included trials did not use any of the proposed definitions of ICI-related neurological adverse events which limits our ability to use these definitions. Future clinical trials are recommended to use such definitions to unify the reporting of these adverse events across clinical trials.
In conclusion, after removing the effect of other systemic chemo- and immunotherapies, the incidence of neurological adverse events due to ICI is much lower than previously reported. Surprisingly, the incidence of neurological adverse events was not different based on the tumor type or the number of ICIs used. A more accurate estimation of the incidence of ICI-related neurological adverse events and a deeper understanding of its pathophysiology are needed.
Supplementary Information
Below is the link to the electronic supplementary material.
Supplementary file1 (DOCX 107 KB)
Supplementary file2 (DOCX 269 KB)
Author contributions
AAT was involved in conceptualization; AAT and TA were involved in project administration; AAT and TA were involved in data acquisition; AAT was involved in data analysis; AAT and TA were involved in manuscript writing; AAT was involved in editing and reviewing the manuscript.
Funding
The authors declare that this study did not receive any funding.
Data availability
The data is available from the corresponding author upon reasonable request.
Declarations
Conflicts of interest
The authors declare that there are no conflicts of interest.
Ethical approval
This manuscript does not require ethical approval because it is a meta-analysis. The manuscript was conducted in concordance with the declaration of Helsinki and the common ethical practices.
References
1. Larkin J et al (2019) Five year survival with combined Nivolumab and Ipilimumab in advanced melanoma. New Engl J Med 381(16):1535–1546
2. Ribas A, Wolchok JD (2018) Cancer immunotherapy using checkpoint blockade. Science 359(6382):1350–1355
3. Haugh AM, Probasco JC, Johnson DB (2020) Neurologic complications of immune checkpoint inhibitors. Expert Opin Drug Saf 19(4):479–488
4. Toubasi A, Al-Sayegh T, Rayyan RJHYMR (2023) Methods of converting effect measures used in meta-analysis: a narrative review and a practical guide. High Yield Med Rev. 10.59707/hymrRJKR4024
5. Farina A et al (2024) Neurological adverse events of immune checkpoint inhibitors and the development of paraneoplastic neurological syndromes. Lancet Neurol 23(1):81–94
6. Arnaud-Coffin P et al (2019) A systematic review of adverse events in randomized trials assessing immune checkpoint inhibitors. Int J Cancer 145(3):639–648
7. Cuzzubbo S et al (2017) Neurological adverse events associated with immune checkpoint inhibitors: review of the literature. Eur J Cancer 73:1–8
8. Marini A et al (2021) Neurologic adverse events of immune checkpoint inhibitors. Neurol 96(16):754–766
9. Velasco R et al (2021) Encephalitis induced by immune checkpoint inhibitors: a systematic review. JAMA Neroul 78(7):864–873
10. Vogrig A et al (2020) Central nervous system complications associated with immune checkpoint inhibitors. J Neurol, Neurosurg Psychiatry 91(7):772–778
11. Johnson DB et al (2019) Neurologic toxicity associated with immune checkpoint inhibitors: a pharmacovigilance study. J Immunother cancer 7(1):134
12. Möhn N et al (2020) Diagnosis and differential diagnosis of neurological adverse events during immune checkpoint inhibitor therapy. J Oncol 2020(1):8865054
13. Guidon AC et al (2021) Consensus disease definitions for neurologic immune-related adverse events of immune checkpoint inhibitors. J Immunother Cancer 9(7):e002890
14. Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD et al (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71. 10.1136/bmj.n71
Associated Data
Supplementary Materials
Supplementary file1 (DOCX 107 KB)
Supplementary file2 (DOCX 269 KB)
Data Availability Statement
The data is available from the corresponding author upon reasonable request.