Search results for "confidence interval"

showing 10 items of 1297 documents

Diagnostic efficacy of panoramic mandibular index to identify postmenopausal women with low bone mineral densities

2011

Objectives: The aim of the study was to compare and assess the accuracy of panoramic mandibular index (PMI) and antegonial index (AI) in the panoramic radiographs of postmenopausal women with normal and low skeletal bone mineral densities( BMD) diagnosed by using dual energy x-ray absorptiometry ( DXA). Study Design: In panoramic radiographs obtained from 40 post menopausal women( 20 normal and 20 osteoporo tic) aged between 50-75 who’s BMD has already been assessed by a DXA, the mean was calculated for PMI and AI index values measured in the right and left mandibles. The PMI and AI index values were evaluated using the student’s t test. The correlation between the observers for indices was…

Bone mineralIndex (economics)Receiver operating characteristicbusiness.industryRadiographyOsteoporosisDentistryOdontología:CIENCIAS MÉDICAS [UNESCO]medicine.diseaseCiencias de la saludConfidence intervalPearson product-moment correlation coefficientsymbols.namesakeStandard errorUNESCO::CIENCIAS MÉDICASsymbolsmedicinebusinessGeneral DentistryJournal of Clinical and Experimental Dentistry
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Global treatment patterns and outcomes among patients with recurrent and/or metastatic head and neck squamous cell carcinoma: Results of the GLANCE H…

2020

Abstract Objectives Given a lack of universally-accepted standard-of-care treatment for patients with recurrent/metastatic head and neck squamous cell carcinoma (R/M HNSCC), study objectives were to assess treatment utilization and survival outcomes for R/M HNSCC in the real-world setting. Materials and methods A multi-site retrospective chart review was conducted in Europe (Germany, United Kingdom, Italy, Spain), Asia Pacific (Australia, South Korea, Taiwan), and Latin/North America (Brazil and Canada) to identify patients who initiated first-line systemic therapy for R/M HNSCC between January 2011 and December 2013. Patients were followed through December 2015 to collect clinical characte…

Bridged-Ring CompoundsMaleCanadaCancer Researchmedicine.medical_specialtymedicine.medical_treatmentTaiwanMedizinCetuximabPlatinum CompoundsKaplan-Meier EstimateSystemic therapy03 medical and health sciences0302 clinical medicineInternal medicineAntineoplastic Combined Chemotherapy ProtocolsRepublic of KoreaConfidence IntervalsmedicineHumans030223 otorhinolaryngologySurvival analysisAgedRetrospective StudiesChemotherapyCetuximabSquamous Cell Carcinoma of Head and Neckbusiness.industryHead and neck cancerAustraliaMiddle Agedmedicine.diseaseHead and neck squamous-cell carcinomaConfidence intervalEuropeRegimenMethotrexateTreatment OutcomeOncologyHead and Neck Neoplasms030220 oncology & carcinogenesisFemaleTaxoidsFluorouracilNeoplasm Recurrence LocalOral SurgerybusinessBrazilmedicine.drugOral Oncology
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Calorie intake, olive oil consumption and mammographic density among Spanish women

2013

High mammographic density (MD) is one of the main risk factors for development of breast cancer. To date, however, relatively few studies have evaluated the association between MD and diet. In this cross-sectional study, we assessed the association between MD (measured using Boyd's semiquantitative scale with five categories: 75%) and diet (measured using a food frequency questionnaire validated in a Spanish population) among 3,548 peri- and postmenopausal women drawn from seven breast cancer screening programs in Spain. Multivariate ordinal logistic regression models, adjusted for age, body mass index (BMI), energy intake and protein consumption as well as other confounders, showed an asso…

Cancer ResearchCaloriemammographic densityCross-sectional studyWhite meatEpidemiologycalorie intakeBreast NeoplasmsBody Mass IndexBreast cancerRisk FactorsSurveys and QuestionnairesMedicineAnimalsHumansPlant OilsFood sciencebreast densityMammary Glands HumanMammographic densityOlive Oilbusiness.industryConfoundingOdds ratioFeeding BehaviorMiddle Agedmedicine.diseaseConfidence intervalDietCross-Sectional StudiesMilkOncologySpainBreast densityFemaleCalorie intakebusinessEnergy IntakeBody mass indexBiomarkersDemographyMammography
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Fetal growth and childhood acute lymphoblastic leukemia: Findings from the childhood leukemia international consortium

2013

Positive associations have been reported between measures of accelerated fetal growth and risk of childhood acute lymphoblastic leukemia (ALL). We investigated this association by pooling individual-level data from 12 case-control studies participating in the Childhood Leukemia International Consortium. Two measures of fetal growth – weight-for-gestational-age and proportion of optimal birth weight (POBW) – were analysed. Study-specific odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using multivariable logistic regression, and combined in fixed effects meta-analyses. Pooled analyses of all data were also undertaken using multivariable logistic regression. Subgroup analy…

Cancer ResearchPediatricsmedicine.medical_specialtyChildhood leukemiabusiness.industryBirth weightCase-control studyGestational ageOdds ratiomedicine.diseaseLogistic regressionConfidence intervalOncologyInternal medicinemedicinebusinessChildhood Acute Lymphoblastic LeukemiaInternational Journal of Cancer
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Home pesticide exposures and risk of childhood leukemia: Findings from the childhood leukemia international consortium

2015

Some previous studies have suggested that home pesticide exposure before birth and during a child's early years may increase the risk of childhood leukemia. To further investigate this, we pooled individual level data from 12 case-control studies in the Childhood Leukemia International Consortium. Exposure data were harmonized into compatible formats. Pooled analyses were undertaken using multivariable unconditional logistic regression. The odds ratio (ORs) for acute lymphoblastic leukemia (ALL) associated with any pesticide exposure shortly before conception, during pregnancy and after birth were 1.39 (95% confidence interval [CI]: 1.25, 1.55) (using 2,785 cases and 3,635 controls), 1.43 (…

Cancer ResearchPediatricsmedicine.medical_specialtyChildhood leukemiabusiness.industryCase-control studyMyeloid leukemiaOdds ratioEnvironmental exposuremedicine.diseaseConfidence intervalLeukemiaOncologyRecall biasmedicinebusinessInternational Journal of Cancer
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Factors Associated with Prolonged Patient-Attributable Delay in the Diagnosis of Colorectal Cancer

2018

Purpose The delayed diagnosis of colorectal cancer (CRC) may be attributable to sociodemographic characteristics, to aspects of tumour histopathology or to the functioning of the health system. We seek to determine which of these factors most influences prolonged patient-attributable delay (PPAD) in the diagnosis and treatment of CRC. Materials and methods A prospective, multicentre observational study was conducted in 22 Spanish hospitals. In total, 1,785 patients were recruited to the study between 2010 and 2012 and underwent elective or urgent surgery. PPAD is considered to occur when the time elapsed between a patient presenting the symptom and him/her seeking attention from the primary…

Cancer Researchmedicine.medical_specialtyDelayed DiagnosisPatientsColorectal cancerPopulationLogistic regressionColorectal neoplasms03 medical and health sciences0302 clinical medicineSex FactorsRisk FactorsInternal medicineDiagnosismedicineHumans030212 general & internal medicineProspective StudieseducationEmergency TreatmentAgedAged 80 and overeducation.field_of_studyDelaybusiness.industryPrimary care physicianAge FactorsOdds ratioEmergency departmentMiddle Agedmedicine.diseaseConfidence intervalCross-Sectional StudiesLogistic ModelsOncologyElective Surgical Procedures030220 oncology & carcinogenesisObservational studyOriginal ArticleFemalebusinessCancer Research and Treatment : Official Journal of Korean Cancer Association
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The association between extremely low-frequency electromagnetic fields and childhood leukaemia in epidemiology: enough is enough?

2010

Background: Previous pooled analyses have reported an association between magnetic fields and childhood leukaemia. We present a pooled analysis based on primary data from studies on residential magnetic fields and childhood leukaemia published after 2000. Methods: Seven studies with a total of 10 865 cases and 12 853 controls were included. The main analysis focused on 24-h magnetic field measurements or calculated fields in residences. Results: In the combined results, risk increased with increase in exposure, but the estimates were imprecise. The odds ratios for exposure categories of 0.1–0.2 μT, 0.2–0.3 μT and ⩾0.3 μT, compared with <0.1 μT, were 1.07 (95% CI 0.81–1.41), 1.16 (0.69–1.93)…

Cancer Researchmedicine.medical_specialtyLeukemiaNeoplasms Radiation-Inducedbusiness.industryEpidemiologyExtremely low frequency electromagnetic fieldsChildhood cancerOdds ratiomagnetic fieldsConfidence intervalUnited KingdomChildhood leukaemiameta-analysisIncreased riskExposure groupElectromagnetic FieldsOncologychildhood leukaemiaEpidemiologymedicineHumanspooled analysisbusinessDemographyBritish journal of cancer
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Identification of High-Risk Atypical Meningiomas According to Semantic and Radiomic Features

2020

Up to 60% of atypical meningiomas (World Health Organization (WHO) grade II) reoccur within 5 years after resection. However, no clear radiological criteria exist to identify tumors with higher risk of relapse. In this study, we aimed to assess the association of certain radiomic and semantic features of atypical meningiomas in MRI with tumor recurrence. We identified patients operated on primary atypical meningiomas in our department from 2007 to 2017. An analysis of 13 quantitatively defined radiomic and 11 qualitatively defined semantic criteria was performed based on preoperative MRI scans. Imaging characteristics were assessed along with clinical and survival data. The analysis include…

Cancer Researchmedicine.medical_specialtyMultivariate analysisTumor resectionlcsh:RC254-282survivalArticleWorld healthResection03 medical and health sciences0302 clinical medicineatypical meningiomamedicineUnivariate analysisbusiness.industryHazard ratiopredictionOdds ratiolcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensConfidence intervalOncologyradiomics030220 oncology & carcinogenesisRadiologybusiness030217 neurology & neurosurgeryCancers
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Episodic Breathlessness with and without Background Dyspnea in Advanced Cancer Patients Admitted to an Acute Supportive Care Unit

2020

Aim: To characterize episodic breathlessness (EB) in patients with advanced cancer, and to determine factors influencing its clinical appearance. Methods: A consecutive sample of advanced cancer patients admitted to an acute palliative care unit was surveyed. Continuous dyspnea and EB were measured by a numerical scale. The use of drugs used for continuous dyspnea and EB was recorded. Patients were asked about the characteristics of EB (frequency, intensity, duration and triggers). The Multidimensional dyspnea profile (MDP), the Brief dyspnea inventory (BDI), the Athens sleep scale (AIS) and the Hospital Anxiety and Depression Scale (HADS) were also administered. Results: From 439 advanced …

Cancer Researchmedicine.medical_specialtyPalliative careEpisodic breathlessneOpioidHospital Anxiety and Depression Scalelcsh:RC254-282ArticleCONSECUTIVE SAMPLE03 medical and health sciences0302 clinical medicineInternal medicineMedicineadvanced cancerIn patient030212 general & internal medicinepalliative carebusiness.industryopioidsClinical appearancedyspneaPalliative care.lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensAdvanced cancerConfidence intervalrespiratory tract diseasesepisodic breathlessnessOncology030220 oncology & carcinogenesisbusinessCancers
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Preoperative CT-Based Deep Learning Model for Predicting Risk Stratification in Patients With Gastrointestinal Stromal Tumors.

2021

ObjectiveTo develop and evaluate a deep learning model (DLM) for predicting the risk stratification of gastrointestinal stromal tumors (GISTs).MethodsPreoperative contrast-enhanced CT images of 733 patients with GISTs were retrospectively obtained from two centers between January 2011 and June 2020. The datasets were split into training (n = 241), testing (n = 104), and external validation cohorts (n = 388). A DLM for predicting the risk stratification of GISTs was developed using a convolutional neural network and evaluated in the testing and external validation cohorts. The performance of the DLM was compared with that of radiomics model by using the area under the receiver operating char…

Cancer Researchmedicine.medical_specialtyReceiver operating characteristicbusiness.industryDeep learningClass activation mappingNeoplasms. Tumors. Oncology. Including cancer and carcinogensrisk assessmentdeep learningX-ray computedtomographyConfidence intervalprediction modelgastrointestinal stromal tumorsOncologyRisk stratificationCohortMedicineIn patientRadiologyArtificial intelligencebusinessRisk assessmentRC254-282Original ResearchFrontiers in oncology
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