Evidence map›Paper›PMID 35602661›Full record

ArticleJournal of inflammation research2022

Nomogram Based on Inflammatory Biomarkers and Nutritional Indicators for Predicting Overall Survival in Locoregionally Advanced Nasopharyngeal Carcinoma.

Rong Zhao, Zhongguo Liang, Kaihua Chen, Xiaodong Zhu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

24 citing papers in PubMed.

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  15. Nomograms containing body dose parameters for predicting survival in patients with nasopharyngeal carcinoma.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2024
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4 · The record

Corrections and comments

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

4 authors.

Rong ZhaoDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.ORCID 0000-0001-9733-9542
Zhongguo LiangDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Kaihua ChenDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.
Xiaodong ZhuDepartment of Radiation Oncology, Guangxi Medical University Cancer Hospital, Nanning, Guangxi, People's Republic of China.ORCID 0000-0002-7997-8268

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To establish and validate a nomogram to predict overall survival in locoregionally advanced nasopharyngeal carcinoma (LA-NPC) based on inflammatory biomarkers and nutritional indicators. Patients and Methods: A total of 1304 patients who underwent concurrent chemoradiotherapy (CCRT) with or without induction chemotherapy (IC) or adjuvant chemotherapy (AC) were included in the study. The prognosis factors of overall survival (OS) were selected by Cox regression analysis to establish the nomogram. Concordance index (C-index), calibration curves, decision curve analysis (DCA) and Kaplan-Meier curves were used to evaluate the nomogram. Results: Using multivariate Cox analysis of clinically important variables, the following variables were incorporated in the prediction of OS: age, gender, T stage, N stage, pre-treatment plasma Epstein-Barr virus (EBV) DNA, neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), lactic dehydrogenase-to-albumin ratio (LAR) and prognostic nutritional index (PNI). The discriminative ability, clinical usefulness and calibration of the nomogram revealed good predictive ability as indicated by the C-index (0.717 in nomogram and 0.602 in the 8th AJCC staging system), decision curves, calibration curves and K-M curves. Conclusion: Inflammatory biomarkers and nutritional indicators of survival for LA-NPC were selected to create a nomogram predicting OS. The proposed nomogram resulted in more accurate prognostic prediction than 8th AJCC staging system.

Indexed as

inflammatory biomarkerlocoregionally advanced nasopharyngeal carcinomanomogramnutritional indicatoroverall survival

Identifiers

PMID35602661
PMCPMC9122053

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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.