Evidence map›Paper›PMID 39916953›Full record

SynthesisFrontiers in immunology2024

Efficacy and safety of PD-1 inhibitors as second-line treatment for advanced squamous esophageal cancer: a systematic review and network meta-analysis with a focus on PD-L1 expression levels.

Fei Yang, Min Dan, Jindan Shi, Ling Fan, Haoluo Zhang, Tiantian Jian, Kelu Lei, Yue Wang, Juan Xin, Zhigang Yu and 1 more

Abstract readNetwork Meta-AnalysisSystematic Review
In one paragraph

Synthesis in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
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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.

Fei Yang *Department of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Min Dan *Department of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Jindan ShiDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Ling FanDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Haoluo ZhangDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Tiantian JianDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Kelu LeiDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Yue WangDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Juan XinDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Zhigang YuDepartment of Pharmacy, Ya 'an People's Hospital, Ya 'an, China.
Wei ChenDepartment of Pharmacy, Emergency General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: PD-1 inhibitors have shown promising efficacy in enhancing OS and AEs as second-line therapies for patients with advanced esophageal squamous cell carcinoma (ESCC). However, there remains no clear consensus on which PD-1 inhibitor provides the best balance between efficacy and safety. To address this key issue in the second-line treatment of ESCC, we conducted a network meta-analysis (NMA) with a focus on OS benefits, particularly in patients with different levels of PD-L1 expression. Methods: A systematic search of relevant literature was conducted in Web of Science, Embase, PubMed, and Cochrane Library, covering publications from the inception of these database to June 2024. The evaluated endpoints included OS, progression-free survival (PFS), objective response rate (ORR), AEs, and Grade ≥ 3 adverse events (Grade ≥ 3 AEs). A systematic review and Bayesian network meta-analysis were performed to assess the efficacy and safety of various immunotherapy regimens in patients with advanced ESCC. To ensure transparency, novelty, and reliability, this study was prospectively registered in the systematic review registry (CRD42024540581). Results: Five randomized controlled trials (RCTs), encompassing 2,078 patients and six treatment regimens, were included in this study. Among advanced ESCC patients not selected based on PD-L1 expression, Sintilimab demonstrated the greatest OS benefit (HR = 0.70, 95% CI: 0.50-0.98). Camrelizumab showed the most favorable improvement in PFS compared to chemotherapy (HR = 0.64, 95% CI: 0.47-0.87) and also achieved the best ORR benefit (OR = 3.72, 95% CI: 1.98-6.99). In terms of safety, Nivolumab (OR = 0.10, 95% CI: 0.05-0.19) and Tislelizumab (OR = 0.18, 95% CI: 0.10-0.33) exhibited significant safety advantages over chemotherapy concerning AEs. Moreover, Nivolumab (OR = 0.13, 95% CI: 0.08-0.20) was associated with a markedly lower risk of Grade ≥ 3 AEs compared to chemotherapy. Subgroup analysis based on PD-L1 expression revealed that Tislelizumab (HR = 0.53, 95% CI: 0.37-0.76) offered the greatest OS benefit for patients with PD-L1 ≥ 10%, while Camrelizumab (HR = 0.71, 95% CI: 0.57-0.89) was the most likely regimen to provide an OS advantage for patients with PD-L1 < 10%. Conclusion: Compared to chemotherapy, PD-1 inhibitors may provide improved survival outcomes for patients with advanced ESCC. Among patients not selected based on PD-L1 expression, Sintilimab is most likely to deliver the best survival benefit. For patients with PD-L1 expression ≥ 10%, Tislelizumab is expected to offer the greatest efficacy, while Camrelizumab appears to be the most effective for those with PD-L1 < 10%. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024540581.

Indexed as

B7-H1 AntigenEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorAntibodies, Monoclonal, HumanizedHumansTreatment OutcomeAntibodies, Monoclonal, HumanizedB7-H1 AntigenCD274 protein, humanImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptorefficacyesophageal squamous cell carcinoma (ESCC)immune checkpoint inhibitors (ICIs)network meta-analysissafety

Identifiers

PMID39916953
PMCPMC11798917

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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.