Evidence map›Paper›PMID 32025867›Full record

ArticleJournal of cancer research and clinical oncology2020

Clinical impact of skeletal muscle area in patients with non-small cell lung cancer treated with anti-PD-1 inhibitors.

Kazuki Takada, Yasuto Yoneshima, Kentaro Tanaka, Isamu Okamoto, Mototsugu Shimokawa, Sho Wakasu, Shinkichi Takamori, Gouji Toyokawa, Taro Oba, Atsushi Osoegawa and 4 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of cancer research and clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 4 pooled it
3.4field-weighted citation impact, top 6% 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, 4 syntheses or guidelines pooled it, 53 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

14 authors at 4 institutions in 1 country.

Kazuki TakadaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan. k_takada@surg2.med.kyushu-u.ac.jp.ORCID http://orcid.org/0000-0001-6377-9291
Yasuto YoneshimaGraduate School of Medical Sciences, Research Institute for Diseases of the Chest, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Kentaro TanakaGraduate School of Medical Sciences, Research Institute for Diseases of the Chest, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Isamu OkamotoGraduate School of Medical Sciences, Research Institute for Diseases of the Chest, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Mototsugu ShimokawaDepartment of Biostatistics, Yamaguchi University Graduate School of Medicine, 1-1-1 Minamikogushi, Ube, Yamaguchi, 755-8505, Japan.
Sho WakasuDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Shinkichi TakamoriDepartment of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, 3-1-1 Notame, Minami-ku, Fukuoka, 811-1395, Japan.
Gouji ToyokawaDepartment of Thoracic Surgery, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka, 810-8563, Japan.
Taro ObaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Atsushi OsoegawaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Tetsuzo TagawaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Yoshinao OdaDepartment of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Yoichi NakanishiGraduate School of Medical Sciences, Research Institute for Diseases of the Chest, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Masaki MoriDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
Kyushu University · JPNational Hospital Organization Kyushu Cancer Center · JPNational Kyushu Medical Center · JPYamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to elucidate the clinical impact of skeletal muscle area (SMA) in patients with non-small cell lung cancer (NSCLC) treated with anti-programmed cell death-1 (PD-1) inhibitors.

methodsUnivariate and multivariate analyses were performed on data of 103 patients with advanced or recurrent NSCLC treated with anti-PD-1 inhibitors. The SMA was measured at the level of the third lumbar vertebral (L3) on computed tomography images using OsiriX software (32-bit, version 5.8; OsiriX, Geneva, Switzerland). The L3 muscle index (cm

resultsL3 muscle index

conclusionsL3 muscle index

Indexed as

AdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedMuscle, SkeletalNivolumabProgrammed Cell Death 1 ReceptorProgression-Free SurvivalAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalB7-H1 AntigenCD274 protein, humanNivolumabPDCD1 protein, humanpembrolizumabProgrammed Cell Death 1 ReceptorNivolumabNon-small cell lung cancerPembrolizumabPredictive factorPrognostic factorSarcopenia

Identifiers

PMID32025867
PMCPMC11804506
OpenAlexW3005182921

What OpenQuestion holds

Textmetadata
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.