Evidence map›Paper›PMID 31182049›Full record

SynthesisBMC cancer2019

The safety and tolerability of combined immune checkpoint inhibitors (anti-PD-1/PD-L1 plus anti-CTLA-4): a systematic review and meta-analysis.

Lihu Gu, Parikshit Asutosh Khadaroo, Hui Su, Liya Kong, Liangliang Chen, Xianfa Wang, Xinlong Li, Hepan Zhu, Xin Zhong, Junhai Pan and 1 more

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 6 pooled it
5.7field-weighted citation impact, top 3% of its field
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

51 citing papers in PubMed, 6 syntheses or guidelines pooled it, 90 citations in OpenAlex.

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  20. Update on Neuro-ophthalmic Manifestations of Immune Checkpoint Inhibitors.Current neurology and neuroscience reports · 2024
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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

11 authors at 5 institutions in 2 countries.

Lihu GuDepartment of General Surgery, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Parikshit Asutosh KhadarooMonash University School of Public Health and Preventive Medicine, Melbourne, Australia.
Hui SuDepartment of General Surgery, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Liya KongZhejiang Chinese Medical University, Hangzhou, Zhejiang, China.
Liangliang ChenDepartment of Surgical Oncology, HwaMei Hospital, University of Chinese Academy of Sciences, Ningbo, Zhejiang, China.
Xianfa WangDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China.
Xinlong LiDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China.
Hepan ZhuDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China.
Xin ZhongDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China.
Junhai PanDepartment of General Surgery, Zhejiang University School of Medicine Sir Run Run Shaw Hospital, Hangzhou, Zhejiang, China.
Manman ChenAffiliated Hospital of Medical School Ningbo University and Ningbo City Third Hospital, No. 247, Renming Road, Ningbo, 315020, Zhejiang, China. cmm20517@163.com.ORCID http://orcid.org/0000-0003-3750-2939
Sir Run Run Shaw Hospital · CNUniversity of Chinese Academy of Sciences · CNMonash University · AUNingbo University · CNZhejiang Chinese Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe future of combined immunotherapy (a PD-1/PD-L1 plus a CTLA-4 antagonist) is very bright. However, besides improving efficacy, combined therapy increases treatment-related adverse events (TRAEs). Also, the clinical application is limited in some solid tumors.

methodsThis paper purports to investigate the TRAEs for the combined immunotherapy aiming for a more appropriate utilization of immune checkpoint inhibitors (ICIs) in clinical practice through a meta-analysis.

resultsA total of 17 eligible studies covering 2626 patients were selected for a meta-analysis based on specified inclusion and exclusion criteria. The incidence rates of any grade and grade 3 or higher TRAEs were 88% (95%CI, 84-92%) and 41% (95%CI, 35-47%), respectively. The overall incidence of any grade TRAEs leading to discontinuation of treatment was 20% (95%CI, 16-24%). The incidence rate of treatment related deaths was 4.3‰ (95%CI, 1.4‰-8.4‰). Analysis showed that NIVO1 + IPI3 cohort had higher incidences of grade 3 or higher TRAEs (RR = 1.77, 95%CI, 1.34-2.34, p < 0.0001) and any grade TRAEs leading to discontinuation of treatment (RR = 1.81, 95%CI, 1.08-3.04, P = 0.02), compared with NIVO3 + IPI1 regimen.

conclusionsThe combined therapy had high TRAEs. The TRAEs, especially grade 3 or higher, led to discontinuation of the treatment. Furthermore, the incidence of treatment-related deaths was rare. Moreover, the NIVO3 + IPI1 regimen, regardless of efficacy, is more recommended because of better tolerance and lower adverse events.

Indexed as

Antibodies, MonoclonalAntineoplastic Combined Chemotherapy ProtocolsB7-H1 AntigenCTLA-4 AntigenDrug-Related Side Effects and Adverse ReactionsHumansIncidenceNeoplasmsProgrammed Cell Death 1 ReceptorWithholding TreatmentAntibodies, MonoclonalB7-H1 AntigenCTLA-4 AntigenPDCD1 protein, humanProgrammed Cell Death 1 ReceptorAdverse eventsCTLA-4Meta-analysisPD-1PD-L1

Identifiers

PMID31182049
PMCPMC6558837
OpenAlexW2948123668

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.