Evidence map›Paper›PMID 39951824›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

A Novel Age-Based Nomogram as the Best Predictor for Long-Term Overall Survival in Head and Neck Mucosa-Associated Lymphoid Tissue Lymphoma.

Chaoxin Fan, Aimin Jiang, Rui Zhao, Miaomiao Chen

Abstract readMulticenter Study
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Chaoxin FanDepartment of Oncology, Xi'an People's Hospital (Xi'an Fourth Hospital), Xi'an, China.ORCID 0009-0005-2194-067X
Aimin JiangShandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China.ORCID 0000-0002-4092-342X
Rui ZhaoDepartment of Clinical Nutrition, The First Affiliated Hospital of Shandong First Medical University, Jinan, China.
Miaomiao ChenXi'an International University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesHead and neck mucosa-associated lymphoid tissue (MALT) lymphoma, a rare subtype of non-Hodgkin lymphoma, has received limited attention regarding its prognosis. This study aimed to illuminate the clinical characteristics and identify prognostic factors for head and neck MALT lymphoma, intending to develop an accessible tool for clinicians to predict long-term survival probabilities and inform therapeutic strategies.

methodsThis multicentre retrospective study enrolled 424 head and neck MALT lymphoma patients from the Surveillance, Epidemiology, and End Results Program (SEER) database. Least absolute shrinkage and selection operator (LASSO)-Cox regression analysis identified independent prognostic factors for overall survival (OS), leading to the development of an age-based nomogram predicting OS probabilities at 5, 10, and 15 years. Evaluation included time-dependent receiver operating curve (ROC), calibration curves, and decision curve analysis.

resultsMultivariate Cox analysis highlighted age exceeding 65 years [hazards ratio (HR): 2.97, 95% confidence interval (CI): 1.94-4.57;

conclusionOur study provides crucial insights into head and neck MALT lymphoma, filling gaps in understanding its clinical landscape. The validated age-based nomogram serves as a practical tool for clinicians, offering enhanced prognostic precision and guiding personalized treatment strategies in this understudied lymphoma subtype.

Indexed as

Head and Neck NeoplasmsLymphoma, B-Cell, Marginal ZoneNomogramsAdultAgedAged, 80 and overAge FactorsFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesSEER ProgramMALT lymphomanomogramoverall survival (OS)prognostic factor

Identifiers

PMID39951824
PMCPMC11829298

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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 OpenQuestion graph.