Evidence map›Paper›PMID 32462387›Full record

ArticleInternational journal of clinical oncology2020

Survival prediction and treatment strategies for patients with advanced laryngeal carcinoma: a population-based study.

Xiaoke Zhu, Yu Heng, Liang Zhou, Ming Zhang, Wenping Li, Lei Tao

Abstract read
PubMed Publisher
In one paragraph

Article in International journal of clinical oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Application of mPEG-CS-cRGD/Drug delivery · 2023
    Article
  5. Competing risk models versus traditional Cox models for prognostic factors' prediction and care recommendation in patients with advanced laryngeal squamous carcinoma: a population-based study.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 · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. 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

6 authors.

Xiaoke ZhuDepartment of Otolaryngology, Shanghai Key Clinical Disciplines of otorhinolaryngology, Eye Ear Nose & Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, People's Republic of China.
Yu HengDepartment of Otolaryngology, Shanghai Key Clinical Disciplines of otorhinolaryngology, Eye Ear Nose & Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, People's Republic of China.
Liang ZhouDepartment of Otolaryngology, Shanghai Key Clinical Disciplines of otorhinolaryngology, Eye Ear Nose & Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, People's Republic of China.
Ming ZhangDepartment of Otolaryngology, Shanghai Key Clinical Disciplines of otorhinolaryngology, Eye Ear Nose & Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, People's Republic of China.
Wenping LiDepartment of Ear-Nose-Throat, Pudong Hospital Affiliated to Fudan University, Shanghai, People's Republic of China. Liwenpingd@163.com.
Lei TaoDepartment of Otolaryngology, Shanghai Key Clinical Disciplines of otorhinolaryngology, Eye Ear Nose & Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai, 200031, People's Republic of China. doctortaolei@163.com.

Funding

the National Natural Science Foundation of China 30801283the National Natural Science Foundation of China 30972691the National Natural Science Foundation of China 81772878the Science and Technology Commission of Shanghai Municipality 16411950100the Science and Technology Innovation Project of Shanghai Shen-kang Hospital Clinical Development Center SHDC12015114the Shanghai Municipal Science and Technology Foundation 11JC1410802the Shanghai Science and Technology Development Funds 09QA1401000the Shanghai Science and Technology Development Funds 10QA1405900the Shanghai Science and Technology Development Funds 14411961900the Shanghai Science and Technology Development Funds XYQ2011015the Shanghai Science and Technology Development Funds XYQ2011055
6 · The paper itself

Abstract

backgroundThis study aimed at exploring high-risk factors associated with survival outcomes in patients with advanced primary laryngeal carcinoma and at developing and validating a survival-predicting model to help to select the appropriate treatment for each patient.

methodsData of patients with advanced primary laryngeal cancer in 2003-2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. High-risk factors were identified and integrated to build a nomogram, which was internally validated using bootstrap and externally validated with a patient cohort from China. The impact of various treatments was examined on model-defined high-, moderate- and low-risk patient groups, respectively.

resultsA total of 6070 patients were analyzed. Patients' age, gender, tumor T stage, N stage, and differentiation grade were recognized and integrated into the model. The concordance index of this model (0.602) was significantly higher than that of the TNM staging system (0.547). The calibration curve showed a good agreement between model-predicted and actual survival outcomes. Patients were categorized into three different subgroups with incremental risks of overall mortality. The roles of three treatment strategies in these subgroups are varied.

conclusionIn this large SEER-based study, we established a practical model to predict overall survival for patients with advanced primary laryngeal cancer. For patients identified as high-risk and moderate-risk, surgery plus adjuvant therapy is recommended, while for patients in the low-risk group, surgery alone plus regular re-examination is recommended as the primary treatment strategy.

Indexed as

NomogramsAgedCalibrationChemotherapy, AdjuvantChinaCohort StudiesCombined Modality TherapyFemaleHumansKaplan-Meier EstimateLaryngeal NeoplasmsMaleMiddle AgedReproducibility of ResultsRisk FactorsSEER ProgramLocally advanced laryngeal carcinomaNomogramPrognosisTreatment

Identifiers

What OpenQuestion holds

Textmetadata
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.