Evidence map›Paper›PMID 33990133›Full record

ArticleThoracic cancer2021

Impact of concomitant medication on clinical outcomes in patients with advanced non-small cell lung cancer treated with immune checkpoint inhibitors: A retrospective study.

Kaho Miura, Yoshiyuki Sano, Seiji Niho, Kenji Kawasumi, Nobuo Mochizuki, Kiyotaka Yoh, Shingo Matsumoto, Yoshitaka Zenke, Takaya Ikeda, Kaname Nosaki and 5 more

Open access · goldAbstract read
In one paragraph

Article in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 16 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 16 pooled it
3.5field-weighted citation impact, top 5% 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

43 citing papers in PubMed, 16 syntheses or guidelines pooled it, 47 citations in OpenAlex.

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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

15 authors at 2 institutions in 1 country.

Kaho MiuraDivision of Pharmacy, National Cancer Center Hospital East, Chiba, Japan.ORCID 0000-0002-9780-5408
Yoshiyuki SanoDivision of Pharmacy, National Cancer Center Hospital East, Chiba, Japan.
Seiji NihoDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Kenji KawasumiDivision of Pharmacy, National Cancer Center Hospital East, Chiba, Japan.
Nobuo MochizukiDivision of Pharmacy, National Cancer Center Hospital East, Chiba, Japan.
Kiyotaka YohDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Shingo MatsumotoDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Yoshitaka ZenkeDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Takaya IkedaDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Kaname NosakiDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Keisuke KiritaDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Hibiki UdagawaDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Koichi GotoDepartment of Thoracic Oncology, National Cancer Center Hospital East, Chiba, Japan.
Toshikatsu KawasakiDivision of Pharmacy, National Cancer Center Hospital East, Chiba, Japan.
Kazuhiko HanadaDepartment of Pharmacometrics and Pharmacokinetics, Meiji Pharmaceutical University, Tokyo, Japan.
National Cancer Center Hospital East · JPMeiji Pharmaceutical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has recently been suggested that concomitant medication may affect the clinical outcome of patients treated with immune checkpoint inhibitors (ICIs). However, only a few studies on the impact of concomitant medication on immune-related adverse events (irAEs) have previously been reported. Here, we aimed to determine the impact of concomitant medication on the efficacy and safety of ICIs.

methodsWe retrospectively analyzed the data of 300 patients treated with nivolumab or pembrolizumab for advanced non-small cell lung cancer (NSCLC) between January 2016 and July 2018. Multivariate logistic regression analysis was used to assess the effect of concomitant medication on treatment response or irAEs. A multivariate Cox proportional hazards model was used to evaluate concomitant medication-related factors associated with time-to-treatment failure or overall survival (OS).

resultsA total of 70 patients responded to treatment and 137 experienced irAEs. The response rate and incidence of irAEs in patients treated with ICIs were not significantly associated with concomitant medication. Multivariate analysis showed that the use of opioids was an independent factor (time-to-treatment failure: hazard ratio 1.39, p = 0.021, OS: hazard ratio 1.54, p = 0.007).

conclusionsThe efficacy and safety of nivolumab or pembrolizumab in the treatment of patients with advanced NSCLC were not significantly influenced by concomitant medication. However, opioid usage might be associated with shorter OS in patients treated with these ICIs. Further mechanistic investigations should explore whether these associations are purely prognostic or contribute to ICI resistance.

Indexed as

AdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungDrug-Related Side Effects and Adverse ReactionsFemaleHumansImmune Checkpoint InhibitorsLung NeoplasmsMaleMiddle AgedNivolumabRetrospective StudiesAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalImmune Checkpoint InhibitorsNivolumabpembrolizumabconcomitant medicationimmune checkpoint inhibitorsimmune-related adverse eventsnon-small cell lung canceropioids

Identifiers

PMID33990133
PMCPMC8258365
OpenAlexW3163246668

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.