Evidence map›Paper›PMID 38569836›Full record

ArticleAnnals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia2024

Prognostic Significance of CONUT Score in Elderly NSCLC.

Masaya Tamura, Takashi Sakai, Naoki Furukawa, Marino Yamamoto, Ryohei Miyazaki, Hironobu Okada

Abstract read
In one paragraph

Article in Annals of thoracic and cardiovascular surgery : official journal of the Association of Thoracic and Cardiovascular Surgeons of Asia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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, 1 synthesis or guideline pooled it.

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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.

Masaya TamuraDepartment of Thoracic Surgery, Kochi Medical School, Nankoku, Kochi, Japan.
Takashi SakaiDepartment of Thoracic Surgery, Kochi Medical School, Nankoku, Kochi, Japan.
Naoki FurukawaDepartment of Thoracic Surgery, Kochi Medical School, Nankoku, Kochi, Japan.
Marino YamamotoDepartment of Thoracic Surgery, Kochi Medical School, Nankoku, Kochi, Japan.
Ryohei MiyazakiDepartment of Thoracic Surgery, Kochi Medical School, Nankoku, Kochi, Japan.
Hironobu OkadaDepartment of Thoracic Surgery, Kochi Medical School, Nankoku, Kochi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated the Controlling Nutritional Status (CONUT) score as a prognostic predictor in elderly non-small cell lung cancer (NSCLC) patients with surgical resection.

methodsOverall, 114 patients over 80 years old undergoing curative resection for NSCLC were retrospectively analyzed. Receiver operating characteristic (ROC) analysis was conducted to evaluate the capacity of immune-inflammatory markers to predict overall survival (OS). Cox-proportional hazards regression analysis was implemented to investigate prognostic markers for OS.

resultsBased on ROC curves, the CONUT score was found to be the most valuable prognostic marker (area under the curve = 0.716). The high CONUT (≥2) group included 54 patients, and the low CONUT (0 or 1) group included 60 patients. The high CONUT group had poorer prognosis rates compared to the low CONUT group with regard to OS (5-year OS: 46.3% vs. 86.0%, p = 0.0006). In the multivariate data analysis, histology, lymphatic invasion, and CONUT score (hazard ratio: 4.23, p = 0.0003) were found to be exclusive and independent prognostic markers for OS.

conclusionPreoperatively, the CONUT score can be used as a novel prognostic marker in elderly NSCLC patients. CONUT evaluations can also be used to design nutritional interventions to improve patient outcomes.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsAgedAged, 80 and overHumansNutritional StatusPrognosisRetrospective StudiesTreatment OutcomeControlling Nutritional Status scoreNSCLCsystemic inflammatory response

Identifiers

PMID38569836
PMCPMC11082491

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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.