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Comprehensive Meta-analysis of Key Immune-Related Adverse Events from CTLA-4 and PD-1/PD-L1 Inhibitors in Cancer Patients

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TLDR
There is substantial evidence that ICIs are associated with a small but significant increase in risk of selected all-grade irAEs and high-grade gastrointestinal and liver toxicities, and AEs should be recognized promptly as early interventions may alleviate future complications.
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Myositis as an adverse event of immune checkpoint blockade for cancer therapy.

TL;DR: Preliminary data suggest that myositis can occur early after onset of ICI therapy with serious adverse outcomes, and several occurrences of de novo myposis following ICI Therapy are found.
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Immune-checkpoint inhibitors for the treatment of metastatic melanoma: a model of cancer immunotherapy.

TL;DR: The preclinical bases and the main clinical studies that led to the approval of immune-checkpoint inhibitors in advanced melanoma will be described with insights on novel combinations of treatments and on prognostic and predictive biomarkers.
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Reactivation of tuberculosis in cancer patients following administration of immune checkpoint inhibitors: current evidence and clinical practice recommendations

TL;DR: Questions are raised regarding cancer patients who are at higher risk for developing MTB infection, whether ICB-treated patients should be considered immunocompromised, and how they should be managed for latent and/or active tuberculosis.
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The Use of Immune Checkpoint Inhibitors in Oncology and the Occurrence of AKI: Where Do We Stand?

TL;DR: A detailed overview of ICIs-related nephrotoxicity and the recently described multicenter studies is provided to anticipate which patients under ICIs would experience severe irAEs and to predict patients with higher risk of AKI.
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Bias in meta-analysis detected by a simple, graphical test

TL;DR: Funnel plots, plots of the trials' effect estimates against sample size, are skewed and asymmetrical in the presence of publication bias and other biases Funnel plot asymmetry, measured by regression analysis, predicts discordance of results when meta-analyses are compared with single large trials.
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Meta-Analysis in Clinical Trials*

TL;DR: This paper examines eight published reviews each reporting results from several related trials in order to evaluate the efficacy of a certain treatment for a specified medical condition and suggests a simple noniterative procedure for characterizing the distribution of treatment effects in a series of studies.
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Operating characteristics of a rank correlation test for publication bias.

TL;DR: In this paper, an adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations, and the test statistic is a direct statistical analogue of the popular funnel-graph.
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