Evidence map›Paper›PMID 33239719›Full record

ArticleScientific reports2020

Prognostic factors analysis for oral cavity cancer survival in the Netherlands and Taiwan using a privacy-preserving federated infrastructure.

Gijs Geleijnse, RuRu Chun-Ju Chiang, Melle Sieswerda, Melinda Schuurman, K C Lee, Johan van Soest, Andre Dekker, Wen-Chung Lee, Xander A A M Verbeek

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  6. Being Bayesian in the 2020s: opportunities and challenges in the practice of modern applied Bayesian statistics.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
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  7. Observational
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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

9 authors.

Gijs GeleijnseNetherlands Comprehensive Cancer Organisation (IKNL), Godebaldkwartier 419, 3511 DT, Utrecht, The Netherlands. g.geleijnse@iknl.nl.
RuRu Chun-Ju ChiangInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University and Taiwan Cancer Registry, Taipei, Taiwan.
Melle SieswerdaNetherlands Comprehensive Cancer Organisation (IKNL), Godebaldkwartier 419, 3511 DT, Utrecht, The Netherlands.
Melinda SchuurmanNetherlands Comprehensive Cancer Organisation (IKNL), Godebaldkwartier 419, 3511 DT, Utrecht, The Netherlands.
K C LeeBiomedical Technology and Device Research Laboratories, Industrial Technology Research Institute (ITRI), Hsinchu, Taiwan.
Johan van SoestDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Andre DekkerDepartment of Radiation Oncology (MAASTRO), GROW School for Oncology and Developmental Biology, Maastricht University Medical Centre, Maastricht, The Netherlands.
Wen-Chung LeeInstitute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University and Taiwan Cancer Registry, Taipei, Taiwan.
Xander A A M VerbeekNetherlands Comprehensive Cancer Organisation (IKNL), Godebaldkwartier 419, 3511 DT, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The difference in incidence of oral cavity cancer (OCC) between Taiwan and the Netherlands is striking. Different risk factors and treatment expertise may result in survival differences between the two countries. However due to regulatory restrictions, patient-level analyses of combined data from the Netherlands and Taiwan are infeasible. We implemented a software infrastructure for federated analyses on data from multiple organisations. We included 41,633‬ patients with single-tumour OCC between 2004 and 2016, undergoing surgery, from the Taiwan Cancer Registry and Netherlands Cancer Registry. Federated Cox Proportional Hazard was used to analyse associations between patient and tumour characteristics, country, treatment and hospital volume with survival. Five factors showed differential effects on survival of OCC patients in the Netherlands and Taiwan: age at diagnosis, stage, grade, treatment and hospital volume. The risk of death for OCC patients younger than 60 years, with advanced stage, higher grade or receiving adjuvant therapy after surgery was lower in the Netherlands than in Taiwan; but patients older than 70 years, with early stage, lower grade and receiving surgery alone in the Netherlands were at higher risk of death than those in Taiwan. The mortality risk of OCC in Taiwanese patients treated in hospitals with higher hospital volume (≥ 50 surgeries per year) was lower than in Dutch patients. We conducted analyses without exchanging patient-level information, overcoming barriers for sharing privacy sensitive information. The outcomes of patients treated in the Netherlands and Taiwan were slightly different after controlling for other prognostic factors.

Indexed as

PrivacyAgedFemaleHumansMaleMiddle AgedMouth NeoplasmsMultivariate AnalysisNetherlandsPrognosisProportional Hazards ModelsRegression AnalysisSurvival AnalysisTaiwan

Identifiers

PMID33239719
PMCPMC7688977

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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.