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ObjectivesThe recently developed Hospital Frailty Risk Score (HFRS) allows ascertainment of frailty from administrative data. We aimed to compare the HFRS against the widely used FRAIL Scale and Frailty Index.DesignPopulation-based cohort study linked to Western Australian Hospital Morbidity Data Collection and Death Registrations.Setting and ParticipantsThe Health in Men Study with frailty determined at Wave 2 (2001/2004), mortality in the 1-year period following Wave 2, and disability at Wave 3 (2008). Participants were 4228 community-based men aged ≥75 years, followed until Wave 3.MeasurementsWe used multivariable regression to determine the association between each frailty measure and outcomes of length of stay (LOS), death, and disability. We also determined if the additional cases of frailty identified by one measure over the other was associated with these outcomes.ResultsOf 4228 men studied, the HFRS (n = 689) identified fewer men as frail than the FRAIL Scale (n = 1648) and Frailty Index (n = 1820). In the fully adjusted models, all 3 frailty measures were associated with longer LOS and mortality, whereas only the FRAIL Scale and Frailty Index were significantly associated with disability. The additional cases of frailty identified by the FRAIL Scale and Frailty Index had longer LOS and greater risks of death and disability. The fully adjusted hazard ratio for death among the additional cases of frailty identified by the FRAIL Scale (compared to being not frail on both HFRS and FRAIL Scale) was 2.14 (95% CI 1.48-3.08).Conclusions and ImplicationsThe HFRS is associated with adverse outcomes. However, it identified approximately 60% fewer men who were frail than the FRAIL Scale and Frailty Index, and the additional cases identified were also at high risks of adverse outcomes. Users of the HFRS should be aware of the differences with other frailty measures.  相似文献   
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The era of geriatric surgery has arrived with increased global life expectancy. The need to optimize outcomes in this group of patients goes beyond traditional outcomes such as postoperative morbidity and mortality indicators. Recognizing risk factors that impact adverse surgical outcomes such as frailty and sarcopenia, individualizing optimization strategies such as prehabilitation and a multidisciplinary geriatric surgical service have been shown to improve postoperative outcomes and help the older surgical patient regain premorbid function and maintain quality of life. There needs to be a concerted effort to increase awareness of this increasingly important topic in practicing surgeons around the world to meet the challenges of the aging population.  相似文献   
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ObjectiveData on prognostic tools for indicating mechanical ventilation in older people with COVID-19 are still limited. The aim of this research was to evaluate if the Multidimensional Prognostic Index (MPI), based on the Comprehensive Geriatric Assessment (CGA), may help physicians in identifying older hospitalized patients affected by COVID-19 who might benefit from mechanical ventilation.DesignLongitudinal, multicenter study.Settings and Participants502 older people hospitalized for COVID-19 in 10 European hospitals.MethodsMPI was calculated using 8 different domains typical of the CGA. A propensity score, Cox's regression analysis was used for assessing the impact of mechanical ventilation on rehospitalization/mortality for 90 days' follow-up, stratified by MPI = 0.50. The accuracy of MPI in predicting negative outcomes (ie, rehospitalization/mortality) was assessed using the area under the curve (AUC), and the discrimination with several indexes like the Net Reclassification Improvement (NRI) and the Integrated Discrimination Improvement (IDI).ResultsAmong 502 older people hospitalized for COVID-19 (mean age: 80 years), 152 were treated with mechanical ventilation. In the propensity score analysis, during the 90-day follow-up period, there were 44 rehospitalizations and 95 deaths. Mechanical ventilation in patients with MPI values ≥ 0.50, indicating frailer participants, was associated with a higher risk of rehospitalization/mortality (hazard ratio 1.56, 95% CI 1.09-2.23), whereas in participants with MPI values < 0.50 this association was not significant. The accuracy of the model including age, sex, respiratory parameters, and MPI was good (AUC = 0.783) as confirmed by an NRI of 0.2756 (P < .001) and an IDI of 0.1858 (P < .001), suggesting a good discrimination of the model in predicting negative outcomes.Conclusions and ImplicationsMPI could be useful for better individualizing older people hospitalized by COVID-19 who could benefit from mechanical ventilation.  相似文献   
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IntroductionThe World Health Organization has introduced the term ‘intrinsic capacity’ (IC) as a marker of healthy ageing. However, controversy exists on the definition and assessment of IC. We aimed to review the definitions and methods used for the assessment of IC in older adults. In addition, we proposed a new IC scoring method.MethodsA systematic search was performed in PubMed, Web of Science, Cochrane Library, Scopus and SPORTDiscus (up to February 10th, 2022) for studies assesing IC in older adults (>60 years).ResultsThirty-three studies were included. There is overall consensus on the definition of IC as well as on its different dimensions, that is: locomotion, vitality, sensory, cognition and psychological. However, the methods for assessing each of these five dimensions differ substantially across studies and there is no consensus on the best method to compute an eventual global compound score to evaluate IC taking into account all its different dimensions.ConclusionsThe IC represents a highly relevant clinical concept that has been unfortunately underutilized. We propose a standardization for the assessment of each dimension of IC, with a global 0 (worst) to 10 (highest) score.  相似文献   
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ObjectivesMany older adults in long-term care (LTC) experience acute health crises but are at high risk of transfer distress and in-hospital morbidity and mortality. Residents often complete advance directives (ADs) regarding future care wishes, including directives for hospital transfers. This study aims to estimate the prevalence of, and adherence to, “no transfer to hospital” ADs in LTC, and to explore the circumstances leading to transfers against previously expressed directives.DesignWe conducted a mixed methods study in 10 nursing homes in Nova Scotia, Canada. A total of 748 resident charts and Emergency Health Services (EHS) database notes were reviewed from 3 time periods spanning implementation of a new primary care model, Care by Design (CBD).MeasuresADs were divided into those requesting transfer to hospital vs on-site management only, which were then analyzed in relation to actual hospital transfers. Reasons for EHS calls, management, and qualitative data were derived from the EHS database. Resident variables were obtained from LTC charts. Measures were compared between time periods.ResultsADs were complete in 92.4% of charts. Paramedics were called for 80.5% of residents, and 73.6% were transferred to hospital, 51.3% of whom had explicit ADs to the contrary. The majority of those were transferred for fall-related injuries, followed by medical illness. Unclear care plans, symptom control, and perceived need for investigations and procedures all influenced transfer decisions.Conclusions/ImplicationsThe use of “no transfer to hospital” directives did not appear to impact the number of residents being transferred to acute care. Half of those transferred to hospital had explicit ADs to the contrary, largely driven by fall-related injury. The high incidence of injury-related transfers highlights an important gap in advance care planning. Clarifying transfer preferences for injury management in advance directives may lead to better end-of-life experiences for residents and improve effective resource utilization.  相似文献   
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