Evidence map›Paper›PMID 34886225›Full record

ArticleInternational journal of environmental research and public health2021

Developing a Stacked Ensemble-Based Classification Scheme to Predict Second Primary Cancers in Head and Neck Cancer Survivors.

Chi-Chang Chang, Tse-Hung Huang, Pei-Wei Shueng, Ssu-Han Chen, Chun-Chia Chen, Chi-Jie Lu, Yi-Ju Tseng

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 20 citations in OpenAlex.

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  12. Associations between Sex and Risk Factors for Predicting Chronic Kidney Disease.International journal of environmental research and public health · 2022
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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

7 authors at 7 institutions in 1 country.

Chi-Chang ChangSchool of Medical Informatics, Chung Shan Medical University & IT Office, Chung Shan Medical University Hospital, Taichung 40201, Taiwan.ORCID 0000-0001-6513-9212
Tse-Hung HuangDepartment of Traditional Chinese Medicine, Chang Gung Memorial Hospital, Keelung 20401, Taiwan.ORCID 0000-0002-5231-9932
Pei-Wei ShuengDepartment of Radiology, Division of Radiation Oncology, Far Eastern Memorial Hospital, New Taipei 22060, Taiwan.ORCID 0000-0003-2051-364X
Ssu-Han ChenDepartment of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei 24330, Taiwan.ORCID 0000-0002-1186-3341
Chun-Chia ChenInstitute of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.ORCID 0000-0003-2692-1812
Chi-Jie LuGraduate Institute of Business Administration, Fu Jen Catholic University, New Taipei 242062, Taiwan.ORCID 0000-0002-7911-2253
Yi-Ju TsengDepartment of Information Management, National Central University, Taoyuan 32031, Taiwan.
Chang Gung University of Science and Technology · TWChung Shan Medical University Hospital · TWFu Jen Catholic University · TWMing Chi University of Technology · TWMing Chuan University · TWNational Central University · TWNational Yang Ming Chiao Tung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a considerable expansion in the present therapeutic repertoire for other malignancy managements, mortality from head and neck cancer (HNC) has not significantly improved in recent decades. Moreover, the second primary cancer (SPC) diagnoses increased in patients with HNC, but studies providing evidence to support SPCs prediction in HNC are lacking. Several base classifiers are integrated forming an ensemble meta-classifier using a stacked ensemble method to predict SPCs and find out relevant risk features in patients with HNC. The balanced accuracy and area under the curve (AUC) are over 0.761 and 0.847, with an approximately 2% and 3% increase, respectively, compared to the best individual base classifier. Our study found the top six ensemble risk features, such as body mass index, primary site of HNC, clinical nodal (N) status, primary site surgical margins, sex, and pathologic nodal (N) status. This will help clinicians screen HNC survivors before SPCs occur.

Indexed as

Head and Neck NeoplasmsNeoplasms, Second PrimaryBody Mass IndexHumansRisk FactorsSurvivorshead and neck cancerrisk predictionsecond primary cancersstacked ensemble-based classification scheme

Identifiers

PMID34886225
PMCPMC8657249
OpenAlexW3215420239

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.