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EUVIMED is the European alternative to PubMed: a central, multilingual research platform for medicine, nursing, life sciences and healthcare. It brings together international and European literature sources, study registries, open-access full texts, citations and retraction notices in one search. Unlike pure bibliographic databases, EUVIMED supports the entire research process – from discovery and appraisal with LIVIA and CLARA to traceable evidence synthesis. European in focus, transparent, interoperable and designed for science and healthcare.

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Lokaler Crossref-Datenbestand · journal-article

Comparison of Cox Proportional Hazards Regression and Multiple Logistic Regression Models for Identifying Factors Associated With Mortality Among Children With Retinoblastoma in Malaysia: A Retrospective Cohort Study

Zulkifli Nor‐Aizura, Nadiah Wan‐Arfah, Nyi Nyi Naing, Syaratul Emma Hashim, Ismail Shatriah, Ahmad Sukari Ain‐Nasyrah, Norhafizah Hamzah, Jamalia Rahmat, Mohamad Aziz Salowi

Health Science Reports · 2026

Vollständiger Abstract

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ABSTRACT Background and Aims Retinoblastoma is the most common intraocular rare disease in children arising in the retinal cells. This study aimed to evaluate the consistency of the findings of factors associated with mortality in retinoblastoma children between the Cox Proportional Hazards Regression Model (Cox PHR) and the Multiple Logistic Regression Model (MLR). Methods A retrospective cohort study was conducted from January 2004 to April 2023 on 402 children diagnosed with retinoblastoma who were admitted to hospitals with paediatric ophthalmology services in Malaysia. The statistical analyses used to model the factors associated with mortality were Cox PHR and the MLR. The five key elements evaluated for parameter estimates encompass direction, estimation, precision, significance, and magnitude of risk. The performance of the models was assessed using the Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC). Results Among 402 children, 22 (5.5%) died, 27 (6.7%) were lost to follow‐up, and 353 (87.8%) remained alive. Prolonged delay in diagnosis and non‐compliance with follow‐up were significant factors associated with mortality in both models. In the Cox PHR model, prolonged delay in diagnosis (AHR: 4.45, 95% CI: 1.86–10.62, p = 0.001) and non‐compliance with follow‐up (AHR: 5.21, 95% CI: 2.24–12.10, p < 0.001) increased mortality risk. Similar findings were observed in the MLR model, with prolonged delay in diagnosis (AOR: 4.73, 95% CI: 1.84–12.15, p = 0.001) and non‐compliance with follow‐up (AOR: 9.51, 95% CI: 3.75–24.11, p < 0.001) significantly increasing the odds of mortality. Both regression models showed consistent direction, and significant results. Conclusion Both Cox PHR and MLR models consistently identified prolonged delay in diagnosis and non‐compliance with follow‐up as factors associated with mortality among children with retinoblastoma.

Bibliografischer Nachweis

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Autor:innen
Zulkifli Nor‐Aizura, Nadiah Wan‐Arfah, Nyi Nyi Naing, Syaratul Emma Hashim, Ismail Shatriah, Ahmad Sukari Ain‐Nasyrah, Norhafizah Hamzah, Jamalia Rahmat, Mohamad Aziz Salowi
Quelle
Health Science Reports
Publikation
2026-01-01
Band / Ausgabe
Nicht angegeben
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Nicht angegeben
ISSN / ISBN
2398-8835, 2398-8835
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Zulkifli Nor‐Aizura, Nadiah Wan‐Arfah, Nyi Nyi Naing, Syaratul Emma Hashim, Ismail Shatriah, Ahmad Sukari Ain‐Nasyrah, Norhafizah Hamzah, Jamalia Rahmat, Mohamad Aziz Salowi (2026). Comparison of Cox Proportional Hazards Regression and Multiple Logistic Regression Models for Identifying Factors Associated With Mortality Among Children With Retinoblastoma in Malaysia: A Retrospective Cohort Study. Health Science Reports. https://doi.org/10.1002/hsr2.73172
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