Evidence map›Paper›PMID 42255242›Full record

ArticleFrontiers in oncology2026

Development and validation of a novel hepato-metabolic-renal score nomogram for predicting disease-free survival in head and neck squamous cell carcinoma.

Lu Lu, Yue Chen, Shudong An, Nuoxuan Niu, Qian Chen, Xinyu Ban, Shuyan Liu, Shiyang Wang, Xiaorong Zhang, Yanqiang Wei and 2 more

Abstract read
In one paragraph

Article in Frontiers in oncology, 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

12 authors.

Lu LuDepartment of Anesthesiology and Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yue ChenCenter for Gut Microbiome Research, Med-X Institute Centre, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Shudong AnXi'an Aeronautical Computing Technique Research Institute of AVIC, Xi'an, Shaanxi, China.
Nuoxuan NiuDepartment of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Qian ChenDepartment of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xinyu BanDepartment of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Shuyan LiuDepartment of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Shiyang WangDepartment of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Xiaorong ZhangDepartment of Anesthesiology and Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yanqiang WeiDepartment of Anesthesiology and Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Lan YaoDepartment of Anesthesiology and Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Yanxia BaiDepartment of Otorhinolaryngology Head and Neck Surgery, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Head and neck squamous cell carcinoma (HNSCC) exhibits marked heterogeneity in disease-free survival (DFS), highlighting the need for improved prognostic tools. This study aimed to develop and validate an integrative physiological score for surgical HNSCC patients. Methods: Using a single-center cohort of 321 surgical HNSCC patients randomly divided into training (n=225) and validation (n=96) cohorts, we developed the Hepato-Metabolic-Renal Score (HMRS) from 11 routine preoperative laboratory parameters via LASSO Cox regression. HMRS was integrated with clinicopathological factors into a prognostic nomogram. Performance was assessed by discrimination (time-dependent ROC), calibration, and clinical utility (decision curve analysis). Results: HMRS demonstrated significant prognostic value for DFS in both training (HR = 2.907, 95%CI:1.693-4.991, P = 0.001) and validation (HR = 2.356, 95% CI: 1.082-5.130, P = 0.031) cohorts. The nomogram showed excellent discrimination (1/3/5-year AUCs: 0.913/0.899/0.896 in training, 0.952/0.891/0.923 in validation), good calibration, and positive net benefit on decision curve analysis. Subgroup analyses confirmed consistent performance across clinical subsets without significant interaction effects after multiple comparison correction. Conclusions: The Hepato-Metabolic-Renal Score provides a novel, practical prognostic tool for surgical HNSCC, with its nomogram enabling personalized recurrence risk estimation. This integrative approach advances precision surgery strategies.

Indexed as

disease-free survivalhead and neck squamous cell carcinomanomogramprognostic scoresurgical oncology

Identifiers

PMID42255242
PMCPMC13233239

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.