Evidence map›Paper›PMID 31880861›Full record

ArticleCancer medicine2020

Predictive factors for progression-free survival in non-small cell lung cancer patients receiving nivolumab based on performance status.

Yuichi Adachi, Akihiro Tamiya, Yoshihiko Taniguchi, Takatoshi Enomoto, Kouji Azuma, Shunichi Kouno, Yuji Inagaki, Nobuhiko Saijo, Kyoichi Okishio, Shinji Atagi

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 9 pooled it
2.8field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 9 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Clinical Outcomes of Immunosuppressant Drugs in Patients Treated with Immune Checkpoint Inhibitors: A Systematic Review and Meta-Analysis.Medical principles and practice : international journal of the Kuwait University, Health Science Centre · 2026
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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

10 authors at 1 institution in 1 country.

Yuichi AdachiDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.ORCID 0000-0002-8867-3191
Akihiro TamiyaDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.ORCID 0000-0003-3599-2583
Yoshihiko TaniguchiDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
Takatoshi EnomotoDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
Kouji AzumaDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
Shunichi KounoDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
Yuji InagakiDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
Nobuhiko SaijoDepartment of Internal Medicine, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
Kyoichi OkishioClinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
Shinji AtagiClinical Research Center, National Hospital Organization Kinki-Chuo Chest Medical Center, Sakai, Japan.
NHO Kinki Chuo Chest Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNivolumab has promising efficacy for the treatment of non-small cell lung cancer (NSCLC). Various predictive factors for nivolumab response in those with NSCLC have been reported, including performance status (PS). The objective of this retrospective study was to determine the predictive factors for nivolumab response in those with NSCLC with good PS and those with poor PS.

methodsWe retrospectively collected pretreatment clinical data of 296 consecutive patients with NSCLC treated with nivolumab. We investigated the relationship between progression-free survival (PFS) and patient characteristics and analyzed predictive factors associated with good PS (PS 0-1) or poor PS (PS 2-4).

resultsThe median age of patients was 70 years; 206 patients were male, and 224 were classified as having good PS (PS 0-1). The median PFS was 3.0 months, 3.7 months, and 1.2 months for all patients, patients with good PS, and patients with poor PS respectively. Multivariate analysis showed that never smoking (hazard ratio [HR], 1.77; 95% confidence interval [CI], 1.15-2.75), high C-reactive protein (CRP) (HR, 1.39; 95% CI, 1.00-1.93), liver metastasis (HR, 1.95; 95% CI, 1.24-3.07), pleural effusion (HR, 1.45; 95% CI, 1.06-2.00), and steroid use (HR, 2.85; 95% CI, 1.65-4.94) were associated with significantly shorter PFS in patients with good PS. A high advanced lung cancer inflammation index (ALI) was significantly associated with longer PFS in patients with poor PS (HR, 0.24; 95% CI, 0.08-0.79).

conclusionsIn patients with NSCLC treated with nivolumab, the factors found to be predictive of shorter PFS in patients with good PS were never smoking, high CRP, liver metastasis, pleural effusion, and steroid administration, whereas high ALI was predictive of longer PFS in patients with poor PS.

Indexed as

Severity of Illness IndexAgedAntineoplastic Agents, ImmunologicalCarcinoma, Non-Small-Cell LungFemaleGlucocorticoidsHumansLiver NeoplasmsLung NeoplasmsMaleMiddle AgedNivolumabPleural Effusion, MalignantPrognosisProgression-Free SurvivalProportional Hazards ModelsAntineoplastic Agents, ImmunologicalGlucocorticoidsNivolumabimmunotherapynivolumabnon-small cell lung cancerperformance statusprognosis

Identifiers

PMID31880861
PMCPMC7013052
OpenAlexW2998010334

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.