Evidence map›Paper›PMID 40946122›Full record

ArticleAnnals of surgical oncology2026

Association Between Postoperative Skeletal Muscle Loss and Disease-Free Survival in Node-Negative NSCLC ≤ 4 cm Without Adjuvant Therapy: A 5-Years Trend Analysis.

Arsalan A Khan, Wara Naeem, Savan K Shah, Minha Ansari, Gillian C Alex, Nicole M Geissen, Michael J Liptay, Christopher W Seder

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Article in Annals of surgical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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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.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Arsalan A KhanDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Wara NaeemDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Savan K ShahDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Minha AnsariDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Gillian C AlexDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Nicole M GeissenDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Michael J LiptayDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA.
Christopher W SederDepartment of Cardiovascular and Thoracic Surgery, Rush University Medical Center, Chicago, IL, USA. Christopher_W_Seder@rush.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite advances in treatment, approximately 20% of patients with early stage non-small cell lung cancer (NSCLC) will experience recurrence. Sarcopenia has emerged as a potential prognostic factor in lung cancer. We hypothesize that rate of skeletal muscle volume loss after lung resection is associated with disease-free survival (DFS). PATIENTS AND

methodsA retrospective analysis was conducted on 316 patients with node-negative NSCLC (≤ 4 cm) who underwent lung resection between 2010 and 2021. Those receiving neoadjuvant or adjuvant therapy or experiencing recurrence within 12 months of surgery were excluded. Skeletal muscle index (SMI) was measured preoperatively and annually for up to 5 years. Locally estimated scatterplot smoothing (LOESS) regression was used to visualize trends in SMI over time, and cut-point analysis identified the optimal slope of SMI change associated with DFS. The association between SMI slope and DFS was further evaluated using multivariable Cox proportional hazards models, adjusting for relevant demographic and clinical covariates.

resultsLOESS analysis revealed an initial plateau in SMI during the first postoperative year across all patients, followed by a marked decline in patients that recurred. The greatest loss in SMI occurred in the year immediately preceding radiographic identification of recurrence. In Cox proportional hazards analysis, patients with an SMI loss greater than 13.5 units/year had worse DFS (hazard ratio [HR] 11.97, 95% confidence interval [CI] 5.54-25.87, p < 0.001).

conclusionsRate of skeletal muscle loss after lung resection may be an early marker for NSCLC recurrence, underscoring the need for longitudinal SMI monitoring as part of routine postoperative surveillance.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsMuscle, SkeletalNeoplasm Recurrence, LocalPneumonectomyPostoperative ComplicationsSarcopeniaAgedDisease-Free SurvivalFemaleFollow-Up StudiesHumansMaleMiddle AgedPattern Analysis, MachinePrognosis

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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 Socratic graph.