Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: UMLS:C0011168 (dysphagia)
 15,644 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Primary central nervous system non-Hodgkin lymphoma (PCNSL) carries a poor prognosis and, although it responds to chemotherapy, fewer than 20% of patients are long-term disease-free survivors. Secondary CNS non-Hodgkin lymphoma (SCNSL) has an even worse prognosis with a median survival of only months and very few reported long-term survivors. For both of these groups of patients, there has been interest in using high-dose chemotherapy with autologous stem cell transplantation (ASCT) following conditioning with thiotepa, busulfan, and cyclophosphamide (TBC). We performed a retrospective review (from 2006-2010) of 32 patients from the Dana-Farber Cancer Institute and Massachusetts General Hospital with PCNSL or SCNSL who underwent ASCT with TBC conditioning. Of the 32 patients, 56% received TBC/ASCT after achieving brain magnetic resonance imaging (MRI) and/or cerebrospinal fluid complete response in brain, and 44% of patients were treated with TBC/ASCT in the setting of measurable CNS disease. The 100-day transplant-related mortality rate was only 3%. The most common nonhematologic grade 3 or 4 toxicity was mucositis, which occurred in 73% of patients. Notably, there was only 1 patient with prolonged significant neurologic toxicity that manifested as ataxia and dysphagia. The 1-year OS estimate is 93% (95% confidence interval [CI]: 75%-98%), and the 1-year progression-free survival (PFS) estimate is 90% (95% CI: 72%-96%) from the date of transplantation. Although these outcomes are encouraging, longer follow-up is required and comparison with other traditional ASCT regimens used for patients with non-Hodgkin lymphoma (NHL) is warranted.
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PMID:Autologous stem cell transplantation with thiotepa, busulfan, and cyclophosphamide (TBC) conditioning in patients with CNS involvement by non-Hodgkin lymphoma. 2207 72

Multiple outcomes are often collected in applications where the quantity of interest cannot be measured directly or is difficult or expensive to measure. In a head and neck cancer study conducted at Dana-Farber Cancer Institute, the investigators wanted to determine the effect of clinical and treatment factors on unobservable dysphagia through collected multiple outcomes of mixed types. Latent variable models are commonly adopted in this setting. These models stipulate that multiple collected outcomes are conditionally independent given the latent factor. Mixed types of outcomes (e.g., continuous vs. ordinal) and censored outcomes present statistical challenges, however, as a natural analog of the multivariate normal distribution does not exist for mixed data. Recently, Lin et al. proposed a semiparametric latent variable transformation model for mixed outcome data; however, it may not readily accommodate event time outcomes where censoring is present. In this paper, we extend the work of Lin et al. by proposing both semiparametric and parametric latent variable models that allow for the estimation of the latent factor in the presence of measurable outcomes of mixed types, including censored outcomes. Both approaches allow for a direct estimate of the treatment (or other covariate) effect on the unobserved latent variable, greatly enhancing the interpretability of the models. The semiparametric approach has the added advantage of allowing the relationship between the measurable outcomes and latent variables to be unspecified, rendering more robust inference. The parametric and semiparametric models can also be used together, providing a comprehensive modeling strategy for complicated latent variable problems.
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PMID:A latent variable transformation model approach for exploring dysphagia. 2497 98