Evidence map›Paper›PMID 36103811›Full record

ArticleOncology2023

The Glasgow Prognostic Score Predicts Outcomes of Pembrolizumab or Atezolizumab Monotherapy in Patients with Pretreated Non-Small Cell Lung Cancer.

Masashi Kasajima, Satoshi Igawa, Hiroya Manaka, Kaori Yamada, Yuki Akazawa, Hideaki Manabe, Yuri Yagami, Hiroki Yamamoto, Hiroki Ito, Nobuki Kaizuka and 7 more

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 1 institution in 1 country.

Masashi KasajimaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Satoshi IgawaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Hiroya ManakaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Kaori YamadaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Yuki AkazawaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Hideaki ManabeDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Yuri YagamiDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Hiroki YamamotoDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Hiroki ItoDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Nobuki KaizukaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Yoshiro NakaharaDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Takashi SatoDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Hisashi MitshufujiSchool of Nursing, Kitasato University, Sagamihara, Japan.
Masanori YokobaSchool of Allied Health Sciences, Kitasato University, Sagamihara, Japan.
Masaru KubotaSchool of Allied Health Sciences, Kitasato University, Sagamihara, Japan.
Jiichiro SasakiResearch and Development Center for New Medical Frontiers, Kitasato University School of Medicine, Sagamihara, Japan.
Katsuhiko NaokiDepartment of Respiratory Medicine, Kitasato University School of Medicine, Sagamihara, Japan.
Kitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPredictors of the effectiveness of immune checkpoint inhibitor (ICI) monotherapy in previously treated patients with non-small cell lung cancer (NSCLC) remain ill-defined. We investigated whether the Glasgow prognostic score (GPS) could serve as such predictors.

methodsEighty patients treated with pembrolizumab or atezolizumab monotherapy as second- or subsequent-line therapy for NSCLC were retrospectively reviewed, and the associations between GPS, body mass index (BMI), and each of progression-free survival (PFS) and overall survival (OS) were assessed.

resultsThe median follow-up period was 11.1 months. Patients with a BMI ≥20.4 kg/m2 had significantly longer PFS and OS (3.7 and 22.2 month, respectively) than did those with a BMI <20.4 kg/m2 (2.2 and 11.5 months, respectively). Patients with a GPS of 0 had a significantly longer PFS (6.6 months) than did those with a GPS of 1 (2.2 months, p = 0.002) and 2 (1.8 months, p = 0.029). Patients with a GPS of 0 also had a significantly longer OS (22.2 month) than did those with a GPS of 1 (9.2 months, p = 0.002) and 2 (4.7 months, p = 0.002). Notably, the GPS, BMI, and clinical stage were independent predictors of PFS, while the GPS and performance status were independent predictors of OS. The response rate of patients with a GPS of 0 was significantly higher than that of patients with a GPS of 1-2 (26.2% vs. 7.9%, p = 0.03).

conclusionThe GPS is an independent predictor of PFS and OS in patients with NSCLC who received second- or subsequent-line pembrolizumab or atezolizumab monotherapy.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAntibodies, Monoclonal, HumanizedHumansPrognosisRetrospective StudiesAntibodies, Monoclonal, HumanizedatezolizumabpembrolizumabAtezolizumabGlasgow prognostic scoreNon-small cell lung cancerPembrolizumab

Identifiers

PMID36103811
PMCPMC9872847
OpenAlexW4295720423

What OpenQuestion holds

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LicenceCC BY-NC
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.