Purpose: Kenya is a large country with a widely dispersed population. As retinoblastoma requires specialized treatment, we determined the referral pattern for patients with retinoblastoma in Kenya to facilitate the formulation of a national policy.
Materials And Methods: A retrospective study was performed for retinoblastoma patients who presented from January 1, 2006 to December 31, 2007. Data were collected on the referral process from presenting health facility to the hospital where patient was treated. Data were also collected on the time interval when the first symptoms were noticed to the time of presentation at a health facility (lag time). For cases that could be traced to a referral hospital, the time delay due to referral (referral lag time) was recorded.
Results: There were 206 patients diagnosed with retinoblastoma in 51 Kenyan and 2 foreign healthcare facilities, and they received final treatment at a Kenyan hospital. Mean lag time was 6.8 months (±6.45). Of all patients, 18% (38/206) were treated at the hospital where they first presented and 82% (168/206) were referred elsewhere. Of those referred, 35% (58/168) were lost to follow-up. The mean referral lag time was 1.7 months (±2.5).
Conclusions: A significant proportion of cases presented late, and either delayed seeking further treatment or were lost after initial referral. We recommend the implementation of a national strategy that emphasizes early detection, documentation and follow up of retinoblastoma patients.
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http://dx.doi.org/10.4103/0974-9233.142270 | DOI Listing |
Biol Pharm Bull
January 2025
Department of Clinical Medicine (Pharmaceutical Medicine), Graduate School of Pharmaceutical Sciences, Kitasato University, 5-9-1 Shirokane, Minato-ku, Tokyo 108-8641, Japan.
Drug lag is a serious issue for patients with life-threatening diseases such as cancer. Japan and Korea have been facing a large drug lag, despite having a large market and a good clinical trial environment. We analyzed drug lags for anticancer drugs between these countries, using the information on 82 anticancer drugs approved in the United States between 2017 and 2022.
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November 2024
Department of Ophthalmology, First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Objective: The study investigated the effects of air pollutants on the incidence of acute angle-closure glaucoma (AACG) in Hefei, China.Methods: A combination of generalized additive models (GAM) and distributed lag non-linear models (DLNM) was used to explore the relationship between air pollutants and the incidence of AACG.Results: Exposure-response curves showed that exposure to PM2.
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January 2025
Department of Occupational Safety and Health, College of Public Health, China Medical University, No. 100, Section 1, Economic and Trade Road, Beitun District, Taichung, 406040, Taiwan, Republic of China.
Although several environmental factors may increase the risk of nervous system anomalies, the association between exposure to particulate matter with an aerodynamic diameter of ≤ 2.5 μm (PM) and nervous system anomalies is not completely understood. This study aimed to examine the association between expoure to PM and nervous system anomalies, including specific phenotypes during preconception and early pregnancy and determine the crucial time windows.
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Maritime Transportation and Management Engineering Department, Karadeniz Technical University, Türkiye.
In parallel with the rising world population, consumption is increasing. Seafarers work intensively for the continuity of consumption. Vessel crew work under contract for specific periods.
View Article and Find Full Text PDFMethodsX
June 2025
Department of Royal Rainmaking and Agricultural Aviation, Bangkok 10900, Thailand.
Rainfall prediction is a crucial aspect of climate science, particularly in monsoon-influenced regions where accurate forecasts are essential. This study evaluates rainfall prediction models in the Eastern Thailand by examining an optimal lag time associated with the Oceanic Niño Index (ONI). Five deep learning models-RNN with ReLU, LSTM, GRU (single-layer), LSTM+LSTM, and LSTM+GRU (multi-layer)-were compared using mean absolute error (MAE) and root mean square error (RMSE).
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