Evidence map›Paper›PMID 42505192›Full record

ArticleCurrent oncology (Toronto, Ont.)2026

Clinical Characteristics and Prognosis of Neuroendocrine Carcinoma in the Head and Neck: A Single-Institutional Retrospective Analysis.

Chengyan Yang, Kun Gao, Shuangshuang He, Mengyuan Liu, Ping Ai

Abstract read
In one paragraph

Article in Current oncology (Toronto, Ont.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Chengyan YangDivision of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China.
Kun GaoDivision of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China.
Shuangshuang HeDepartment of Oncology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China.
Mengyuan LiuDivision of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China.
Ping AiDivision of Head & Neck Tumor Multimodality Treatment, Cancer Center, West China Hospital, Sichuan University, No. 37 Guoxue Alley, Chengdu 610041, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHead and neck neuroendocrine carcinoma (HN-NEC) is exceedingly rare. Standardized treatment strategies for this malignancy remain unestablished. This study aimed to explore promising treatment modalities, and to identify prognostic factors in HN-NEC. MATERIALS AND

methodsThirty-nine patients diagnosed with HN-NEC at West China Hospital of Sichuan University between 2006 and 2025 were enrolled. The 5-year survival rates were estimated by Kaplan-Meier analysis. The log-rank test and Firth's penalized Cox multivariable analysis regression model were used to identify prognostic factors.

resultsThe 5-year locoregional recurrence-free survival (LRRFS), distant metastasis-free survival (DMFS), and overall survival (OS) rates for patients who did and did not receive radiotherapy were 63.2% vs. 29.6% (

conclusionsRadiotherapy may be associated with improved LRRFS in patients with HN-NEC. HN-NEC originating in the larynx appeared to be associated with a poorer prognosis compared with other primary sites of the head and neck.

Indexed as

Carcinoma, NeuroendocrineHead and Neck NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective Studieshead and neck neuroendocrine carcinomalarynxprognosisradiotherapy

Identifiers

PMID42505192
PMCPMC13409505

What Socratic holds

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Registered trials

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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 Socratic graph.