Evidence map›Paper›PMID 31021376›Full record

SynthesisJAMA oncology2019

Treatment-Related Adverse Events of PD-1 and PD-L1 Inhibitors in Clinical Trials: A Systematic Review and Meta-analysis.

Yucai Wang, Shouhao Zhou, Fang Yang, Xinyue Qi, Xin Wang, Xiaoxiang Guan, Chan Shen, Narjust Duma, Jesus Vera Aguilera, Ashish Chintakuntlawar and 9 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in JAMA oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 539 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
539citing papers in PubMed, 15 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

539 citing papers in PubMed, 15 syntheses or guidelines pooled it.

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479 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors.

Yucai WangDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Shouhao ZhouDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston.
Fang YangMedical School of Nanjing University, Nanjing, China.
Xinyue QiDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston.
Xin WangMedical School of Nanjing University, Nanjing, China.
Xiaoxiang GuanMedical School of Nanjing University, Nanjing, China.
Chan ShenDepartment of Health Services Research, The University of Texas MD Anderson Cancer Center, Houston.
Narjust DumaDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Jesus Vera AguileraDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Ashish ChintakuntlawarDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota.
Katharine A PriceDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota.
Julian R MolinaDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota.
Lance C PagliaroDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota.
Thorvardur R HalfdanarsonDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota.
Axel GrotheyDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota.
Svetomir N MarkovicDivision of Medical Oncology, Mayo Clinic, Rochester, Minnesota.
Grzegorz S NowakowskiDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Stephen M AnsellDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Michael L WangDepartment of Lymphoma/Myeloma, The University of Texas MD Anderson Cancer Center, Houston.

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

importanceProgrammed cell death (PD-1) and programmed cell death ligand 1 (PD-L1) inhibitors have been increasingly used in cancer therapy. Understanding the treatment-related adverse events of these drugs is critical for clinical practice.

objectiveTo evaluate the incidences of treatment-related adverse events of PD-1 and PD-L1 inhibitors and the differences between different drugs and cancer types. DATA SOURCES: PubMed, Web of Science, Embase, and Scopus were searched from October 1, 2017, through December 15, 2018. STUDY SELECTION: Published clinical trials on single-agent PD-1 and PD-L1 inhibitors with tabulated data on treatment-related adverse events were included. DATA EXTRACTION AND SYNTHESIS: Trial name, phase, cancer type, PD-1 and PD-L1 inhibitor used, dose escalation, dosing schedule, number of patients, number of all adverse events, and criteria for adverse event reporting data were extracted from each included study, and bayesian multilevel regression models were applied for data analysis. MAIN OUTCOMES AND MEASURES: Incidences of treatment-related adverse events and differences between different drugs and cancer types.

resultsThis systematic review and meta-analysis included 125 clinical trials involving 20 128 patients; 12 277 (66.0%) of 18 610 patients from 106 studies developed at least 1 adverse event of any grade (severity), and 2627 (14.0%) of 18 715 patients from 110 studies developed at least 1 adverse event of grade 3 or higher severity. The most common all-grade adverse events were fatigue (18.26%; 95% CI, 16.49%-20.11%), pruritus (10.61%; 95% CI, 9.46%-11.83%), and diarrhea (9.47%; 95% CI, 8.43%-10.58%). The most common grade 3 or higher adverse events were fatigue (0.89%; 95% CI, 0.69%-1.14%), anemia (0.78%; 95% CI, 0.59%-1.02%), and aspartate aminotransferase increase (0.75%; 95% CI, 0.56%-0.99%). Hypothyroidism (6.07%; 95% CI, 5.35%-6.85%) and hyperthyroidism (2.82%; 95% CI, 2.40%-3.29%) were the most frequent all-grade endocrine immune-related adverse events. Nivolumab was associated with higher mean incidences of all-grade adverse events compared with pembrolizumab (odds ratio [OR], 1.28; 95% CI, 0.97-1.79) and grade 3 or higher adverse events (OR, 1.30; 95% CI, 0.89-2.00). PD-1 inhibitors were associated with a higher mean incidence of grade 3 or higher adverse events compared with PD-L1 inhibitors (OR, 1.58; 95% CI, 1.00-2.54). CONCLUSIONS AND RELEVANCE: Different PD-1 and PD-L1 inhibitors appear to have varying treatment-related adverse events; a comprehensive summary of the incidences of treatment-related adverse events in clinical trials provides an important guide for clinicians.

Indexed as

Antineoplastic Agents, ImmunologicalB7-H1 AntigenClinical Trials as TopicHumansNeoplasmsProgrammed Cell Death 1 ReceptorAntineoplastic Agents, ImmunologicalB7-H1 AntigenCD274 protein, humanPDCD1 protein, humanProgrammed Cell Death 1 Receptor

Identifiers

PMID31021376
PMCPMC6487913

What OpenQuestion holds

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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.