Evidence map›Paper›PMID 38189402›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2023

[Construction of a prognostic nomogram combining PET/CT metabolic parameters and blood inflammatory markers for non-small cell lung cancer treated with first-line chemotherapy].

D Kong, L Song, Y Xiang

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In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

D KongDepartment of Nuclear Medicine, First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121000, China.
L SongDepartment of Nuclear Medicine, First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121000, China.
Y XiangDepartment of Nuclear Medicine, First Affiliated Hospital of Jinzhou Medical University, Jinzhou 121000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the prognostic value of

methodsWe retrospectively analyzed the metabolic parameters (SUVmax, MTV and TLG) and blood markers of inflammation (NLR, DNLR, PLR and SII) in 105 patients with advanced NSCLC receiving chemotherapy combined with baseline

resultsThe patients were followed up for a median of 17.5 months, and their median progression-free survival (PFS) was 16 months with a median overall survival (OS) of 13.6 months. A high PLR (≥151.050) and a high TLG (≥101.940) were significant independent prognostic factors for PFS, and a high SII (≥941.385) and a high TLG (≥101.940) were independent prognostic factors for OS. The nomogram combining PET and blood markers of inflammation showed a good performance for prognostic prediction (with C-index of 0.682 for PFS and of 0.727 for OS) and good fitting of the calibration curve. The clinical decision curve showed good clinical utility of the nomogram.

conclusionThe baseline PET/CT metabolic parameters and blood inflammatory markers are associated with PFS and OS of patients with advanced NSCLC receiving first-line chemotherapy, and the constructed nomogram based on these parameters has a good performance for prognostic prediction in these patients.

Indexed as

Carcinoma, Non-Small-Cell LungLung NeoplasmsFluorodeoxyglucose F18HumansInflammationNomogramsPositron Emission Tomography Computed TomographyPrognosisRetrospective StudiesFluorodeoxyglucose F18blood inflammatory markersmetabolic parametersnomogramnon-small cell lung cancerPET/CT

Identifiers

PMID38189402
PMCPMC10774112

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