Evidence map›Paper›PMID 42490821›Full record

ArticleFrontiers in nutrition2026

Dynamic prognostic nutritional index trajectories predict survival outcomes in nasopharyngeal carcinoma with persistently undetectable plasma Epstein-Barr virus DNA.

Ying Li, Qisi Zhang, Honghong Zhang, Zongwei Huang, Jue Wang, Jiajia Zheng, Xiaoke Wang, Xiaoyu Ye, Hanyu Zhang, Youliang Weng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Ying Li *Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.
Qisi Zhang *Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.
Honghong Zhang *Department of Radiation Oncology, Xiang'an Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, Fujian, China.
Zongwei HuangClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.
Jue WangClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.
Jiajia ZhengClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.
Xiaoke WangClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.
Xiaoyu YeClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.
Hanyu ZhangFujian Medical University, Fuzhou, Fujian, China.
Youliang WengClinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, NHC Key Laboratory of Cancer and Metabolism, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aims to identify prognostic factors in nasopharyngeal carcinoma (NPC) patients with persistently undetectable plasma Epstein-Barr virus (EBV) DNA and to evaluate the association between longitudinal changes in the prognostic nutritional index (PNI) during treatment and survival outcomes. Methods: We conducted a retrospective cohort study of 412 patients with persistently undetectable plasma EBV DNA NPC. Prognostic factors for progression-free survival (PFS) were identified via Cox regression analyses. A latent class growth mixture model (LCGMM) was performed on serial PNI measurements at baseline (T1), post-induction chemotherapy (T2), and post-radiotherapy (T3) in a subset of 252 patients receiving induction chemotherapy to characterize dynamic nutritional changes. Survival differences between PNI trajectory subgroups were assessed. Results: Higher baseline PNI was independently associated with improved PFS (HR = 0.93, 95% CI: 0.87-0.98, Conclusion: Our findings demonstrate that baseline PNI is an independent prognostic factor for survival, and that the dynamic PNI trajectory during treatment provides significant prognostic information in NPC patients with persistently undetectable plasma EBV DNA. The identification of distinct nutritional reserve classes through longitudinal modeling provides a novel framework for real-time risk assessment and may help identify patients who could benefit from closer nutritional monitoring and supportive care in future prospective studies.

Indexed as

EBV DNA negativeintensity-modulated radiotherapylongitudinal trajectorynasopharyngeal carcinomaprognostic nutritional index

Identifiers

PMID42490821
PMCPMC13375451

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