Evidence map›Paper›PMID 36847675›Full record

ArticleInterdisciplinary cardiovascular and thoracic surgery2023

Skeletal muscle area predicts the outcomes of non-small-cell lung cancer after trimodality therapy.

Kenji Watanabe, Fumihiko Kinoshita, Tomoyoshi Takenaka, Taichi Nagano, Yuka Oku, Keisuke Kosai, Yuki Ono, Naoki Haratake, Mikihiro Kohno, Takeshi Kamitani and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Interdisciplinary cardiovascular and thoracic surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 25% 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

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

  1. Pooled it
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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

15 authors at 3 institutions in 1 country.

Kenji WatanabeDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Fumihiko KinoshitaDepartment of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.
Tomoyoshi TakenakaDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Taichi NaganoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yuka OkuDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Keisuke KosaiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Yuki OnoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Naoki HaratakeDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Mikihiro KohnoDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Takeshi KamitaniDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.ORCID 0000-0002-6792-0640
Tadamasa YoshitakeDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tatsuro OkamotoDepartment of Thoracic Oncology, National Hospital Organization Kyushu Cancer Center, Fukuoka, Japan.
Mototsugu ShimokawaDepartment of Biostatistics, Yamaguchi University Graduate School of Medicine, Yamaguchi, Japan.
Kousei IshigamiDepartment of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Tomoharu YoshizumiDepartment of Surgery and Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Kyushu University · JPNational Hospital Organization Kyushu Cancer Center · JPYamaguchi University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSarcopenia correlates with poor prognosis in various malignancies. However, the prognostic significance of sarcopenia remains to be determined in patients with non-small-cell lung cancer who undergo surgery after receiving neoadjuvant chemoradiotherapy (NACRT).

methodsWe retrospectively reviewed the patients with stage II/III non-small-cell lung cancer who underwent surgery following NACRT. The paravertebral skeletal muscle area (SMA) (cm2) at the 12th thoracic vertebra level was measured. We calculated the SMA index (SMAI) as SMA/squared height (cm2/m2). Patients were divided into low and high SMAI groups, and the association of SMAI with clinicopathological factors and prognosis was assessed.

resultsThe patients' [men, 86 (81.1%)] median age was 63 (21-76) years. There were 106 patients including 2 (1.9%), 10 (9.4%), 74 (69.8%), 19 (17.9%) and 1 (0.9%) patients with stage IIA, IIB, IIIA, IIIB and IIIC, respectively. Of the patients, 39 (36.8%) and 67 (63.2%) were classified in the low and the high SMAI groups, respectively. Kaplan-Meier analysis showed that the low group had a significantly shorter overall survival and disease-free survival than the high group. Multivariable analysis identified low SMAI as an independent poor prognostic factor for overall survival.

conclusionsPre-NACRT SMAI correlates with poor prognosis; therefore, assessing sarcopenia based on pre-NACRT SMAI may help determine optimal treatment strategies and suitable nutritional and exercise interventions.

Indexed as

Lung cancerNeoadjuvant chemoradiotherapySarcopeniaSkeletal muscle

Identifiers

PMID36847675
PMCPMC9901413
OpenAlexW4318320275

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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.