Evidence map›Paper›PMID 39096344›Full record

ArticleGeneral thoracic and cardiovascular surgery2025

Analysis of postoperative weight loss associated with prognosis after sublobar resections for lung cancer.

Takeo Nakada, Yu Suyama, Satoshi Arakawa, Yo Tsukamoto, Takamasa Shibazaki, Tomonari Kinoshita, Takashi Ohtsuka

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Article in General thoracic and cardiovascular surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Takeo NakadaDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Nishishinbashi 3-19-18, Minatoku, Tokyo, 105-8471, Japan. takeo521@hotmail.co.jp.ORCID http://orcid.org/0000-0003-1168-0163
Yu SuyamaDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Nishishinbashi 3-19-18, Minatoku, Tokyo, 105-8471, Japan.
Satoshi ArakawaDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Nishishinbashi 3-19-18, Minatoku, Tokyo, 105-8471, Japan.
Yo TsukamotoDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Nishishinbashi 3-19-18, Minatoku, Tokyo, 105-8471, Japan.
Takamasa ShibazakiDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Nishishinbashi 3-19-18, Minatoku, Tokyo, 105-8471, Japan.
Tomonari KinoshitaDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Nishishinbashi 3-19-18, Minatoku, Tokyo, 105-8471, Japan.
Takashi OhtsukaDivision of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Nishishinbashi 3-19-18, Minatoku, Tokyo, 105-8471, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSublobar resections for lung cancer are increasing worldwide. However, the prognostic significance of weight loss after sublobar resection remains unclear. We aimed to investigate the prognostic significance of weight loss after sublobar resection for lung cancer.

methodsPatients who underwent sublobar resection for non-small cell lung cancer between January 2016 and June 2021 were analysed. The percentage weight change at 3, 6, and 12 months postoperatively was determined based on the preoperative weight. Patients were divided into two groups: those with or without weight loss ≥ 5%, referring to the diagnostic criteria for frailty, to assess prognosis. Subsequently, the prognosis-related timing of weight loss ≥ 5% and its risk factors were analyzed.

resultsWe reviewed 147 patients; 39 (26.5%) showed weight loss ≥ 5% within 1-year post-surgery. A total of 32 patients (21.8%) died, 13 from primary lung cancer and 19 from non-lung cancer causes. Cancer recurrence occurred in 22 patients (15.0%). Weight loss ≥ 5% within 1-year post-surgery was a poor prognostic factor for overall and recurrence-free survival (log-rank; p = 0.014 and 0.018, respectively). Additionally, weight loss ≥ 5% at 6-12 months postoperatively was associated with poor overall and recurrence-free survival (p < 0.05, both). In the multivariable analysis, an age-adjusted Charlson comorbidity index ≥ 4 was a predictive factor for weight loss ≥ 5% at 6-12 months postoperatively (odds ratio, 3.920; p = 0.023).

conclusionsWeight loss ≥ 5% at 6-12 months postoperatively was associated with poor prognosis. Long-term nutritional management is important in the treatment plan of sublobar resection in high-risk patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsPneumonectomyWeight LossAgedAged, 80 and overFemaleHumansMaleMiddle AgedRetrospective StudiesRisk AssessmentRisk FactorsTime FactorsTreatment OutcomeAge-adjusted Charlson comorbidity indexLung cancerPrognosisSublobar resectionWeight loss

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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.