Evidence map›Paper›PMID 32049805›Full record

ArticleMedicine2020

Skeletal muscle mass predicts the outcome of nivolumab treatment for non-small cell lung cancer.

Mariko Tsukagoshi, Takehiko Yokobori, Toshiki Yajima, Toshitaka Maeno, Kimihiro Shimizu, Akira Mogi, Kenichiro Araki, Norifumi Harimoto, Ken Shirabe, Kyoichi Kaira

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 6 pooled it
2.8field-weighted citation impact, top 7% 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

27 citing papers in PubMed, 6 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Influence ofJCO precision oncology · 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 4 institutions in 2 countries.

Mariko TsukagoshiDepartment of Innovative Cancer Immunotherapy, Gunma University Graduate School of Medicine.
Takehiko YokoboriDepartment of Innovative Cancer Immunotherapy, Gunma University Graduate School of Medicine.
Toshiki YajimaDepartment of Innovative Cancer Immunotherapy, Gunma University Graduate School of Medicine.
Toshitaka MaenoDivision of Allergy and Respiratory Medicine, Integrative Center of Internal Medicine, Gunma University Hospital, Maebashi Gunma.
Kimihiro ShimizuDivision of General Thoracic Surgery, Integrative Center of General Surgery.
Akira MogiDivision of General Thoracic Surgery, Integrative Center of General Surgery.
Kenichiro ArakiDivision of Hepatobiliary and Pancreatic Surgery.
Norifumi HarimotoDivision of Hepatobiliary and Pancreatic Surgery.
Ken ShirabeDivision of Hepatobiliary and Pancreatic Surgery.
Kyoichi KairaDepartment of Innovative Cancer Immunotherapy, Gunma University Graduate School of Medicine.
Gunma University · JPEastern Hepatobiliary Surgery Hospital · CNSecond Military Medical University · CNGunma University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nivolumab, a monoclonal antibody targeting programmed cell death-1, significantly prolongs survival for patients with advanced non-small-cell lung cancer (NSCLC). However, little is known about the value of predictive biomarkers. Hence, we investigated the impact of skeletal muscle (SM) mass loss on clinical outcomes in NSCLC patients undergoing nivolumab treatment. Thirty patients with histologically confirmed NSCLC treated with nivolumab were included in this study. Computed tomography was used to determine SM loss based on the SM index (SMI). The SMI is the cross-sectional area of the bilateral psoas muscles at the third lumbar vertebra, divided by height squared. The cut-off values were defined as 6.36 cm/m for men and 3.92 cm/m for women. Among the 30 patients, 13 (43%) had SM loss. There was no significant association between SM loss and immune-related adverse events. The SM loss group had undergone significantly more prior chemotherapy cycles (P = .04). SM loss was significantly associated with fewer nivolumab cycles (P = .01). No patients in the SM loss group achieved a partial response. Patients with SM loss had a significantly shorter progression-free survival period (P = .008) and median overall survival than those with normal SM mass (10 vs 25 months, respectively, P = .03). SM loss was an independent prognostic factor of poor survival. In conclusion, SM loss may be a predictive factor of poor outcomes in NSCLS patients undergoing nivolumab therapy.

Indexed as

AgedAged, 80 and overAntibodies, MonoclonalCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedNivolumabPredictive Value of TestsPrognosisRetrospective StudiesSarcopeniaSurvival AnalysisTomography, X-Ray ComputedAntibodies, MonoclonalNivolumab

Identifiers

PMID32049805
PMCPMC7035054
OpenAlexW3006562651

What OpenQuestion holds

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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.