Search results for "Patient data"

showing 10 items of 21 documents

Diagnostics for meta-analysis based on generalized linear mixed models

2012

Meta-analysis is the method to combine data coming from multiple studies, with the aim to provide an overall event-risk measure of interest summarizing information coming from the studies. In meta-analysis generalized linear mixed models (GLMM) are particularly used for a number of measures of interest since they allow the true effect size to differ from study to study while accepting binary, discrete as well as continuous response variable. In the present paper some strategies of influence diagnostics based on log-likelihood are suggested and discussed. These are considered for Individual Patient Data, Aggregate Data and their compounding.

Meta-analysis outliers diagnostics Individual Patient DataSettore SECS-S/01 - Statistica
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Cryotherapy for liver tumors: current status, perspectives, clinical results, and review of literature.

2004

Cryotherapy has gained importance as a locally ablative treatment option for patients with non-resectable liver tumors, especially metastases from colorectal cancer. We have used this technique since 1996 for the treatment of 77 patients with malignant liver tumors. Patient data was prospectively recorded and follow-up was until September 2002 or death. Fifty-five patients had colorectal cancer liver metastases, 16 metastases from other primaries and 6 had hepatoma. Forty patients had cryotherapy only and 37 had an additional liver resection. Morbidity and mortality were 22% and 1.3%, respectively. In 68% of patients with colorectal liver metastases and an elevated serum carcinoembryonic a…

OncologyAdultMaleCancer Researchmedicine.medical_specialtyColorectal cancermedicine.medical_treatmentCryotherapyBreast NeoplasmsGastroenterologyCryosurgeryCryosurgeryResectionElevated serum03 medical and health sciences0302 clinical medicineInternal medicinemedicineHumansProspective StudiesNormal rangeAgedbusiness.industryLiver NeoplasmsPatient dataMiddle Agedmedicine.diseaseTreatment OutcomeOncology030220 oncology & carcinogenesis030211 gastroenterology & hepatologyFemaleNeoplasm Recurrence LocalbusinessColorectal NeoplasmsMedian survivalFollow-Up StudiesTechnology in cancer researchtreatment
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Progression-free survival (PFS) as a surrogate endpoint for overall survival (OS) in advanced/recurrent gastric cancer (AGC) treatment: Individual-pa…

2020

e16506 Background: In 2013, the GASTRIC (Global Advanced/Adjuvant Stomach Tumor Research through International Collaboration) evaluated the surrogacy of PFS based on IPD of 4,069 patients from 20 randomized trials of AGC. Treatment effects on PFS and on OS were only moderately correlated, and we could not validate PFS as a surrogate endpoint for OS. More recent trials, with refined inclusion criteria and higher standards for evaluating progression, may allow for a more accurate estimate of the correlation. The 2nd round of the GASTRIC sought to re-evaluate the surrogacy of PFS for OS in AGC. Methods: The GASTRIC database was updated with trials published after 2010 which used RECIST (Respo…

OncologyCancer Researchmedicine.medical_specialtySurrogate endpointbusiness.industrymedicine.medical_treatmentStomachRecurrent gastric cancerPatient datalaw.invention03 medical and health sciences0302 clinical medicinemedicine.anatomical_structureOncologyRandomized controlled triallaw030220 oncology & carcinogenesisMeta-analysisInternal medicinemedicineProgression-free survivalbusinessAdjuvant030215 immunologyJournal of Clinical Oncology
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2014

Background and Purpose In 2007, the WHO classification of brain tumors was extended by three new entities of glioneuronal tumors: papillary glioneuronal tumor (PGNT), rosette-forming glioneuronal tumor of the fourth ventricle (RGNT) and glioneuronal tumor with neuropil-like islands (GNTNI). Focusing on clinical characteristics and outcome, the authors performed a comprehensive individual patient data (IPD) meta-analysis of the cases reported in literature until December 2012.

Pathologymedicine.medical_specialtyMultidisciplinaryRosette (schizont appearance)business.industryPatient datamedicine.diseaseFourth ventricle03 medical and health sciences0302 clinical medicinemedicine.anatomical_structure030220 oncology & carcinogenesisGliomaGlioneuronal tumorPapillary glioneuronal tumormedicineNeuropilWho classificationbusiness030217 neurology & neurosurgeryPLOS ONE
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Survival in Immunocompromised Patients Ultimately Requiring Invasive Mechanical Ventilation: A Pooled Individual Patient Data Analysis

2021

Rationale: Acute respiratory failure (ARF) is associated with high mortality in immunocompromised patients, particularly when invasive mechanical ventilation is needed. Therefore, noninvasive oxygenation/ventilation strategies have been developed to avoid intubation, with uncertain impact on mortality, especially when intubation is delayed. Objectives: We sought to report trends of survival over time in immunocompromised patients receiving invasive mechanical ventilation. The impact of delayed intubation after failure of noninvasive strategies was also assessed. Methods: Systematic review and meta-analysis using individual data (IPD) of studies which focused on immunocompromised adult patie…

Pulmonary and Respiratory MedicineMechanical ventilationmechanical ventilation.medicine.medical_specialtybusiness.industrymedicine.medical_treatmentHigh mortalityPatient dataAcute respiratory failureCritical Care and Intensive Care Medicine03 medical and health sciences0302 clinical medicine030228 respiratory systemMedicineAcute respiratory failure030212 general & internal medicinebusinessIntensive care medicineImmunocompromisedAmerican Journal of Respiratory and Critical Care Medicine
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An integrated framework for risk profiling of breast cancer patients following surgery.

2006

Objective: An integrated decision support framework is proposed for clinical oncologists making prognostic assessments of patients with operable breast cancer. The framework may be delivered over a web interface. It comprises a triangulation of prognostic modelling, visualisation of historical patient data and an explanatory facility to interpret risk group assignments using empirically derived Boolean rules expressed directly in clinical terms. Methods and materials: The prognostic inferences in the interface are validated in a multicentre longitudinal cohort study by modelling retrospective data from 917 patients recruited at Christie Hospital, Wilmslow between 1983 and 1989 and predictin…

Risk profilingAdultmedicine.medical_specialtyDecision support systemMedicine (miscellaneous)Breast NeoplasmsMachine learningcomputer.software_genreModels BiologicalRisk AssessmentDecision Support TechniquesUser-Computer InterfaceBreast cancerRisk groupsArtificial IntelligencemedicineConfidence IntervalsHealth Status IndicatorsHumansMedical physicsSurvival analysisMastectomyRetrospective StudiesInternetbusiness.industryPatient SelectionReproducibility of ResultsPatient dataMiddle Agedmedicine.diseaseDecision Support Systems ClinicalPrognosisConfidence intervalTreatment OutcomeNottingham Prognostic IndexFemaleArtificial intelligenceNeural Networks ComputerbusinesscomputerMonte Carlo MethodAlgorithmsArtificial intelligence in medicine
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Hepatocellular carcinoma recurrence after direct-acting antiviral therapy: An individual patient data meta-analysis

2021

ObjectiveThe benefit of direct-acting antivirals (DAAs) against HCV following successful treatment of hepatocellular carcinoma (HCC) remains controversial. This meta-analysis of individual patient data assessed HCC recurrence risk following DAA administration.DesignWe pooled the data of 977 consecutive patients from 21 studies of HCV-related cirrhosis and HCC, who achieved complete radiological response after surgical/locoregional treatments and received DAAs (DAA group). Recurrence or death risk was expressed as HCC recurrence or death per 100 person-years (100PY). Propensity score-matched patients from the ITA.LI.CA. cohort (n=328) served as DAA-unexposed controls (no-DAA group). Risk fac…

medicine.medical_specialtyCarcinoma HepatocellularCirrhosisAntiviral AgentsGastroenterology03 medical and health sciences0302 clinical medicineInternal medicineantiviral therapymedicineHumansPropensity Scoreantiviral therapy; hepatocellular carcinoma; meta-analysisbusiness.industryLiver NeoplasmsGastroenterologyAntiviral therapyPatient datahepatocellular carcinomamedicine.disease3. Good healthmeta-analysis030220 oncology & carcinogenesisMeta-analysisHepatocellular carcinomaRelative riskCohort030211 gastroenterology & hepatology[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieNeoplasm Recurrence LocalbusinessDirect acting
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Patienten-Daten-Management in der Intensivtherapie - Pro und Kontra

1998

medicine.medical_specialtyPediatricsbusiness.industryPublic healthMEDLINEGeneral MedicinePatient dataCritical Care and Intensive Care Medicinemedicine.diseaseAnesthesiology and Pain MedicineCritical care nursingIntensive careHealth careEmergency MedicinemedicineMedical emergencybusinessQuality assuranceAINS - Anästhesiologie · Intensivmedizin · Notfallmedizin · Schmerztherapie
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Vaginal progesterone in twin gestation with a short cervix:revisiting an individual patient data systematic review and meta-analysis

2021

medicine.medical_specialtyRadiological and Ultrasound TechnologyObstetricsbusiness.industryObstetrics and GynecologyGeneral MedicinePatient dataArticleShort cervixReproductive MedicineMeta-analysisTwin gestationmedicineRadiology Nuclear Medicine and imagingbusiness
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Validation of Knee KL-classifying Deep Neural Network with Finnish Patient Data

2021

Osteoarthritis (OA) is the most common form of joint disease in the world. The diagnosis of OA is currently made by human experts and suffers from subjectivity, but recently new promising detection algorithms have been developed. We validated the current state-of-the-art KL-classifying neural network model for knee OA using knee X-rays taken from postmenopausal women suffering from knee pain attributable to OA. The performance of the model on the clinical data was considerably lower compared to the previous results on population-based test data. This suggests that the performance of the current grading methods is not yet adequate to be applied in clinical settings. The present results also …

medicine.medical_specialtyeducation.field_of_studyArtificial neural networkbusiness.industryDeep learningPopulationOsteoarthritisPatient datamedicine.diseaseJoint diseasePhysical medicine and rehabilitationKnee painMedicineArtificial intelligencemedicine.symptombusinesseducationTest data
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