Evidence map›Paper›PMID 31559045›Full record

ArticleJournal of thoracic disease2019

Effect of progressive sarcopenia during postoperative 6 months on long-term prognosis of completely resected lung cancer.

Masashi Nagata, Hiroyuki Ito, Tomoyuki Yokose, Akihiro Tokushige, Shinichiro Ueda, Haruhiko Nakayama

Abstract read
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Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

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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

5 citing papers in PubMed.

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4 · The record

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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

6 authors.

Masashi NagataDepartment of Thoracic Surgery, Kanagawa Cancer Center, Asahi-ku, Yokohama, Japan.
Hiroyuki ItoDepartment of Thoracic Surgery, Kanagawa Cancer Center, Asahi-ku, Yokohama, Japan.
Tomoyuki YokoseDepartment of Pathology, Kanagawa Cancer Center, Asahi-ku, Yokohama, Japan.
Akihiro TokushigeDepartment of Clinical Research and Quality Management, Graduate School of Medicine, University of The Ryukyus, Nishihara, Okinawa, Japan.
Shinichiro UedaDepartment of Clinical Research and Quality Management, Graduate School of Medicine, University of The Ryukyus, Nishihara, Okinawa, Japan.
Haruhiko NakayamaDepartment of Thoracic Surgery, Kanagawa Cancer Center, Asahi-ku, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative sarcopenia has been indicated to be a potential prognostic factor for patients after complete resection of lung cancer. This study evaluated whether changes in the skeletal muscle mass index (SMI) over postoperative 6 months could predict long-term prognosis from 6 months after complete resection of non-small cell lung cancer (NSCLC).

methodsThis retrospective study analyzed data of 468 patients who underwent curative lobar resection for non-small cell lung cancer at our hospital. The 6-month postoperative change in SMI was calculated, and associations between clinicopathological factors (including the change in SMI) and postoperative mortality were examined.

resultsRates of overall survival were 90.6% after 3 years and 80.7% after 5 years. The median 6-month change in SMI was -3.4% (range, -22.3% to 14.7%). Multivariate analysis revealed that poor outcomes were independently predicted by a large change in SMI, age, pathological stage, lymphovascular invasion, and a Brinkman index of ≥600. Through the analysis in training and validation sets, we determined a cut-off value of -9.9% for the 6-month postoperative change in SMI. Subgroup analysis showed that depletion of SMI during postoperative 6 months was a risk factor for poorer prognosis only in heavy smokers with a Brinkman index of ≥600.

conclusionsA reduction in SMI during the 6 months after complete resection of non-small cell lung cancer significantly predicted prognosis, especially in heavy smokers. These results suggest that attention should be given to prevent the perioperative progression of sarcopenia after curative resection of lung cancer. Thoracic surgeons should take how to manage perioperatively against sarcopenia into consideration.

Indexed as

cachexiaLung cancerprognosisskeletal mass indexsurgery

Identifiers

PMID31559045
PMCPMC6753447

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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.