Evidence map›Paper›PMID 33434414›Full record

ArticleThoracic cancer2021

Clinical utility of the C-reactive protein:albumin ratio in non-small cell lung cancer patients treated with nivolumab.

Taisuke Araki, Kazunari Tateishi, Kei Sonehara, Shuko Hirota, Masamichi Komatsu, Manabu Yamamoto, Shintaro Kanda, Hiroshi Kuraishi, Masayuki Hanaoka, Tomonobu Koizumi

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 30 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 8 pooled it
2.4field-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

30 citing papers in PubMed, 8 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  15. Characterization of blood inflammatory markers in patients with non-small cell lung cancer.International journal of clinical and experimental pathology · 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

10 authors at 2 institutions in 1 country.

Taisuke ArakiFirst Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Kazunari TateishiFirst Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0003-4641-640X
Kei SoneharaFirst Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0001-9810-4016
Shuko HirotaJapan Red Cross Society, Nagano Red Cross Hospital, Nagano, Japan.
Masamichi KomatsuFirst Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Manabu YamamotoJapan Red Cross Society, Nagano Red Cross Hospital, Nagano, Japan.
Shintaro KandaDepartment of Comprehensive Cancer Therapy, Shinshu University School of Medicine, Matsumoto, Japan.
Hiroshi KuraishiJapan Red Cross Society, Nagano Red Cross Hospital, Nagano, Japan.
Masayuki HanaokaFirst Department of Internal Medicine, Shinshu University School of Medicine, Matsumoto, Japan.
Tomonobu KoizumiDepartment of Comprehensive Cancer Therapy, Shinshu University School of Medicine, Matsumoto, Japan.ORCID 0000-0002-5182-0960
Shinshu University · JPNagano Red Cross Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNivolumab is a second-line chemotherapy for non-small cell lung cancer (NSCLC). This study explored the impact of clinical biomarkers such as neutrophil:lymphocyte ratio (NLR), C-reactive protein:albumin ratio (CAR), and modified Glasgow prognostic score on the efficacy and outcome of nivolumab monotherapy in previously treated NSCLC patients.

methodsWe retrospectively analyzed advanced or postoperative recurrence of NSCLC in 113 patients in two Japanese facilities from January 2015 to December 2019. Optimal cutoff values of NLR and CAR were assessed by the area under the receiver operating characteristic curves predicting death events to conduct regression analysis. Baseline values and values collected eight weeks after nivolumab treatment were measured to investigate time-series changes of these markers.

resultsThe patients showed median overall survival (OS) and progression-free survival (PFS) of 14.0 months and 2.3 months, respectively, with both being significantly longer in patients with partial response (PR) than in patients with progressive disease (PD). Optimal cutoff levels for NLR and CAR were 5.8 and 0.83, with significant decrease in CAR (P = 0.002) from baseline levels in PR patients and significant increase in PD patients. Baseline CAR ≥0.83 was significantly associated with one-year mortality events and overall survival (OS), and multivariate analysis showed significant association of age ≤70 years, an Eastern Cooperative Oncology Group performance status score of 2 or 3, and a baseline CAR ≥0.83 with inferior OS.

conclusionsFor second-line nivolumab therapy, evaluation of baseline CAR and subsequent changes in CAR may be predictive of therapeutic response to nivolumab and long-term survival in NSCLC patients. KEY POINTS: Significant findings of the study The baseline value of C-reactive protein:albumin ratio was significantly associated with one-year mortality and overall survival in non-small cell lung cancer patients treated with nivolumab. What this study adds Time-series change of C-reactive protein:albumin ratio may be useful for predicting the treatment efficacy in patients treated with nivolumab.

Indexed as

AdultAgedAged, 80 and overAlbuminsCarcinoma, Non-Small-Cell LungC-Reactive ProteinFemaleHumansLung NeoplasmsMaleMiddle AgedNivolumabRetrospective StudiesSurvival AnalysisAlbuminsC-Reactive ProteinNivolumabC-reactive protein:albumin ratioimmunotherapyinflammatory markernon-small cell lung cancer

Identifiers

PMID33434414
PMCPMC7919135
OpenAlexW3120682952

What OpenQuestion holds

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LicenceCC BY
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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.