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Data · dataset · 2026

Modified CONUT score integrating C-reactive protein improves prognostic prediction in non-small cell lung cancer

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.6084/m9.figshare.34044510.v1

<p>Non-small cell lung cancer (NSCLC) remains a leading cause of cancer-related mortality worldwide, highlighting the need for reliable prognostic indicators.

Description

The modified Controlling Nutritional Status (mCONUT) score integrates nutritional and inflammatory parameters. This study evaluated the prognostic value of mCONUT in NSCLC and developed an mCONUT-based nomogram.</p> <p>This multicenter cohort study included 900 patients with NSCLC.

The previously reported CRP-integrated mCONUT scoring system was applied. The prognostic performance of CONUT and mCONUT was compared using concordance index, time-dependent receiver operating characteristic (ROC) curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI). Overall survival (OS) was the primary endpoint.

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Secondary outcomes included short-term survival, malnutrition, and quality of life. A nomogram was constructed based on independent prognostic factors.</p> <p>During a median follow-up of 33.4 months, 380 deaths occurred. mCONUT showed a higher C-index than CONUT for OS prediction (0.650 vs. 0.605). A high mCONUT score was independently associated with poorer OS (HR = 1.63, 95% CI: 1.28–2.06), increased short-term mortality, an increased risk of malnutrition, and worse quality of life.

The mCONUT-based nomogram showed improved discrimination (C-index = 0.727).</p> <p>mCONUT may serve as a supplementary prognostic tool for individualized risk stratification in patients with NSCLC.</p>

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Catalogue records · 1

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Inferred from text
Longitudinal study 65% · Oncology and carcinogenesis 74%
Provenance · 3 source records, 19 field assertions
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ZivaHuboai:figshare.com:article/3404451011 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3404451011 d agoJSON v1
DMU Figshareoai:figshare.com:article/3404451011 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[disease].local:disease:cancermapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Cancer']
concepts[disease].local:disease:cancermapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Cancer']
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