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1.
Many environmental risk factors for hepatobiliary cancers are known but whether they are associated with specific cancer types is unclear. We present here a novel approach of assessing standardized incidence ratios (SIRs) of previously diagnosed comorbidities for hepatocellular carcinoma (HCC), gallbladder cancer (GBC), cholangiocarcinoma (CCA) and ampullary cancer. The 13 comorbidities included alcohol and nonalcohol related liver disease, chronic obstructive pulmonary disease, gallstone disease, viral and other kinds of hepatitis, infection of bile ducts, hepatic and other autoimmune diseases, obesity and diabetes. Patients were identified from the Swedish Inpatient Register from 1987 to 2018, and their cancers were followed from 1997 onwards. SIRs for HCC were 80 to 100 in men and women diagnosed with hepatitis C virus and they were also >10 in patients diagnosed with hepatitis B virus, other kind of hepatitis, hepatic autoimmune disease and nonalcohol related liver disease. Many of these risks, as well as alcohol related liver disease, were either specific to HCC or were shared with intrahepatic CCA. For GBC, CCA and ampullary cancer infection of bile ducts was the main risk factor. Gallstone disease, nonhepatic autoimmune diseases and diabetes were associated with all hepatobiliary cancers. The limitations of the study include inability to cover some rare risk factors and limited follow-up time. Many of the considered comorbidities are characterized by chronic inflammation and/or overt immune disturbance in autoimmune diseases. The results suggest that local chronic inflammation and a related immune disturbance is the carcinogenic trigger for all these cancers.  相似文献   
2.
背景国内外用于评估癌症患者支持性照护需求的量表较多,但有关此类量表质量的标准化评价研究及不同量表间的横向比较研究较为缺乏,也少有研究者对此类量表的测量特性进行系统的整合与评价。目的评价中文版癌症患者支持性照护需求量表的测量学性能及研究的方法学质量。方法2021年4月检索中国知网、万方数据知识服务平台、维普中文科技期刊全文数据库、中国生物医学文献数据库、PubMed、EmBase、Web of Science、CINAHL Complete数据库,获取有关中文版癌症患者支持性照护需求量表测量学性能评价的研究,检索时限均为建库至2021年3月30日。由两位研究者独立筛选文献、提取资料后,采用健康测量工具遴选标准(COSMIN)系统综述指南,在对量表的测量特性及研究的方法学质量进行评价的基础上,综合评定中文版癌症患者支持性照护需求评估量表各测量特性的证据等级,并形成对于量表的最终推荐意见。采用描述分析法对评价结果进行汇总、分析。结果共纳入15项研究,涉及8个中文版癌症患者支持性照护需求评估量表〔癌症患者支持性照护需求简明问卷中文版(SCNS-SF34)、中文版支持性照护需求筛查工具(SCNS-ST9-C)、癌症患者综合需求评估量表(CNAT)、癌症需求简明问卷(CNQ-SF)、中文版癌症患者未满足需求量表(CaSUN-C)、癌症患者未满足需求简明量表(SF-SUNS)、晚期癌症患者需求评估问卷(ACNQ-41)、晚期癌症患者需求评估表简表(ACNQ-29)〕。就量表的测量特性质量而言,除ACNQ-29的内容效度为"未提及"外,其余7个量表的内容效度均为"不确定";除CaSUN-C、SF-SUNS的结构效度为"充分"外,其余6个量表的结构效度均为"不确定";SCNS-SF34、CNQ-SF、CaSUN-C、SF-SUNS的内部一致性为"充分",ACNQ-41的内部一致性为"不充分",其余3个量表的内部一致性为"不确定";CNAT、CNQ-SF、ACNQ-29的假设检验为"未提及",CaSUN-C、SF-SUNS、ACNQ-41的假设检验为"不确定",SCNS-SF34、SCNS-ST9-C的假设检验为"充分";除ACNQ-41的稳定性为"不充分",SCNS-ST9-C、ACNQ-29的稳定性为"未提及"外,其余5个量表的稳定性均为"充分";仅SCNS-SF34的跨文化效度为"充分",其余7个量表的跨文化效度均为"未提及"。8个量表的推荐等级均为B级。结论SCNS-SF34的测量特性得到了最为全面的评价,其具有较好的信效度,且临床应用可行性高,可暂时被推荐使用,但上述结论仍有待更多高质量证据加以支撑。  相似文献   
3.
目的:探讨早产儿消化道穿孔的病因,分析影响早产儿消化道穿孔短期预后不良的危险因素。方法:回顾性分析山西省 儿童医院新生儿外科2015年1月—2021 年5月诊治的89 例早产儿消化道穿孔的临床资料。根据术后3 个月时结局分为生存 组和预后不良组。比较两组术前、术中及术后与早产儿消化道穿孔预后不良相关的因素,采用Logistic 回归分析筛选早产儿消 化道穿孔预后不良的危险因素。结果:早产儿消化道穿孔的病死率为25.84%,坏死性小肠结肠炎(NEC)和胃壁肌层缺损是早产 儿消化道穿孔常见的病因。单因素分析显示生存组患儿从发现气腹至手术时间在8 h 之内的比例显著高于预后不良组 (χ2=15.22,P<0.01)。预后不良组合并脓毒性休克的比例显著高于生存组(χ2=33.19,P<0.01)。预后不良组术后合并需非计划二次 手术的并发症比例显著高于生存组(χ2=7.24,P<0.01)。Logistic 回归分析显示脓毒性休克(OR=0.06,95%CI:0.02~0.21,P<0.01)和 气腹至手术时间大于8 h(OR=0.23,95%CI:0.07~0.81,P<0.05)是早产儿消化道穿孔短期预后不良的危险因素。结论:NEC 和胃 壁肌层缺损是早产儿消化道穿孔的主要病因,脓毒性休克和从气腹发生至手术时间大于8 h 是早产儿消化道穿孔短期预后 不良的危险因素。  相似文献   
4.
目的研究医疗器械上市后风险评估的统计学方法,提高风险管理的科学水平。方法参考欧盟医疗器械新法规中即将实施的趋势报告要求,探索趋势分析方法在医疗器械上市后风险评估中的实践运用,举例说明通过历史数据确定控制限和持续趋势监测的过程,讨论实践中面临的问题。结果趋势分析是科学评估医疗器械上市后风险的方法之一,适于在国内推行。结论企业可运用真实世界风险数据开展趋势分析,提升上市后风险预警能力。  相似文献   
5.
目的探讨ICU人工气道患者非计划性拔管的危险因素及医疗失效模式与效应分析(HFMEA)的应用价值。方法选择2020年7月-9月在我院ICU治疗的气管插管患者100例为研究对象。根据是否发生非计划性拔管分为拔管组21例和未拔管组79例。收集患者一般资料与临床资料,采用单因素及多因素分析影响ICU人工气道患者非计划性拔管的危险因素。自2020年10月我科实施HFMEA,选择2020年10月~12月ICU气管插管患者100例,比较实施HFMEA前后非计划性拔管发生率。结果单因素分析结果显示,责任护士ICU工作年限、APACHEⅡ评分、置管天数、正确使用约束、镇静与躁动评分是发生非计划性拔管的相关因素(P<0.05)。多因素Logistic回归分析结果显示,责任护士ICU工作年限短、镇静与躁动评分高是非计划性拔管的独立危险因素,而正确使用约束是保护因素(P<0.05)。实施HFMEA后,非计划性拔管率显著低于实施HFMEA前(P<0.05)。结论ICU人工气道患者非计划性拔管率较高,责任护士经验缺乏、患者躁动、未正确使用约束等是非计划性拔管的高危因素。实施HFMEA后,非计划性拔管率显著下降。  相似文献   
6.
《Value in health》2022,25(3):331-339
ObjectivesClinical artificial intelligence (AI) is a novel technology, and few economic evaluations have focused on it to date. Before its wider implementation, it is important to highlight the aspects of AI that challenge traditional health technology assessment methods.MethodsWe used an existing broad value framework to assess potential ways AI can provide good value for money. We also developed a rubric of how economic evaluations of AI should vary depending on the case of its use.ResultsWe found that the measurement of core elements of value—health outcomes and cost—are complicated by AI because its generalizability across different populations is often unclear and because its use may necessitate reconfigured clinical processes. Clinicians’ productivity may improve when AI is used. If poorly implemented though, AI may also cause clinicians’ workload to increase. Some AI has been found to exacerbate health disparities. Nevertheless, AI may promote equity by expanding access to medical care and, when properly trained, providing unbiased diagnoses and prognoses. The approach to assessment of AI should vary based on its use case: AI that creates new clinical possibilities can improve outcomes, but regulation and evidence collection may be difficult; AI that extends clinical expertise can reduce disparities and lower costs but may result in overuse; and AI that automates clinicians’ work can improve productivity but may reduce skills.ConclusionsThe potential uses of clinical AI create challenges for health technology assessment methods originally developed for pharmaceuticals and medical devices. Health economists should be prepared to examine data collection and methods used to train AI, as these may impact its future value.  相似文献   
7.
ObjectivesThe purpose of this study was to investigate the prognostic weight of multimorbidity and functional impairment over long-term mortality among older patients discharged from acute care hospitals.DesignA prospective multicenter observational study.Setting and ParticipantsOur series consisted of 1967 adults aged ≥65 years consecutively admitted to acute care wards in Italy, in the context of the Report-AGE project.MethodsAfter signing a written informed consent, all patients underwent comprehensive geriatric assessment by Inter-RAI Minimum Data Set acute care. The primary endpoint of the present study was long-term mortality. Patients were grouped into 3 functional clusters and 3 disease clusters using the K-medians cluster analysis. The association of functional clusters, disease clusters, and Charlson score categories with long-term mortality was investigated through Cox regression analysis and the intercluster classification agreement was further estimated. Finally, the additive effect of either disease clusters or Charlson score on predictive ability of functional clusters was assessed by using changes in Harrell’s C-index and categorical Net Reclassification Index (NRI).ResultsFunctional clusters, disease clusters, and Charlson score were significant predictors of long-term mortality, but the interclassification agreement was poor. Functional clusters predicted mortality with greater accuracy [C-index 0.66, 95% confidence interval (CI) 0.65–0.68] compared with disease clusters (C-index 0.54, 95% CI 0.53–0.56), and Charlson score (C-index 0.58, 95% CI 0.56–0.59). Adding multimorbidity (NRI 0.23, 95% CI 0.14–0.31) or Charlson score (NRI 0.13, 95% CI 0.03–0.20) to functional cluster model slightly improved the accuracy of prediction.Conclusions and ImplicationsFunctional impairment may better predict prognosis compared with multimorbidity, which may be relevant to optimally address individuals’ needs and to design tailored preventive interventions.  相似文献   
8.
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   
9.
10.
AimThis review aims to summarize and discuss some of the most relevant clinical trials in epidemiology, diagnostics, and treatment of hypertension published in 2020 and 2021.Data synthesisThe trials included in this review are related to hypertension onset age and risk for future cardiovascular disease, reliability of different blood pressure monitoring methods, role of exercise-induced hypertension, treatment of hypertension in patients with SARS-CoV-2 infection, management of hypertension high-risk patient groups, e.g., in the elderly (≥80 years) and patients with atrial fibrillation, and the interplay between nutrition and hypertension, as well as recent insights into renal denervation for treatment of hypertension.ConclusionsHypertension onset age, nighttime blood pressure levels and a riser pattern are relevant for the prognosis of future cardiovascular diseases. The risk of coronary heart disease appears to increase linearly with increasing exercise systolic blood pressure. Renin-angiotensin system blockers are not associated with an increased risk for a severe course of COVID-19. In elderly patients, a risk-benefit assessment of intensified blood pressure control should be individually evaluated. A J-shaped association between cardiovascular disease and achieved blood pressure could also be demonstrated in patients with atrial fibrillation on anticoagulation. Salt restriction and lifestyle modification remain effective options in treating hypertensive patients at low cardiovascular risk. Sodium glucose co-transporter 2 inhibitors and Glucagon-like peptide-1 receptor agonists show BP-lowering effects. Renal denervation should be considered as an additional or alternative treatment option in selected patients with uncontrolled hypertension.  相似文献   
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