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ObjectivesA suicide attempt (SA) is a major risk factor of recurrent SA in adolescence and may be associated with psychological or social problems in the future. REPEATERS is a longitudinal study which examines the long-term psychosocial outcome of adolescents following attempted suicide. It focuses on the impact of early recurrence (i.e., within the first year of the index SA) – data which is, in fact, poorly documented.MethodsTen years after the index SA, a self-reporting questionnaire was sent to all adolescents who had attempted suicide and were followed up by the CHRU (Regional University Hospital Centre) de Nancy, France, between 1994 and 2003 and their parents. The purpose of this questionnaire was to assess psychosocial outcomes. Data concerning SA were collected retrospectively.ResultsAfter ten years, 146 of the 309 adolescents who had attempted suicide and were participating in the study had responded: 90% lived with a partner and 41% had children. The mean (SD) current emotional life of suicide attempt survivors scored 7.3 (2.3) on a scale of 0 to 10. Compared to the general population of the same age, responders felt more depressed than their peers (29% vs. less than 8% of males and 20% of females), had more suicidal thoughts (14% vs. 5%), and had more SAs (27% vs. 0.3%). Moreover, the risk of recurrence over the ten year period was associated with suicide recurrence in the first year after the index SA (odds ratio [OR] = 2.3; 95% confidence interval [CI] = 1.1–4.9) and with a lower level of education at ten years (OR = 0.37; 95% CI = 0.19–0.45).ConclusionsAlthough a favorable outcome was reported ten years after the event for the majority of adolescents who had attempted suicide, some with a lower level of education were nevertheless at increased risk of recurrence and depression. Post-intervention strategies are therefore essential in order to evaluate risk factors which may persist if not taken into consideration.  相似文献   
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《Clinical neurophysiology》2021,132(6):1312-1320
ObjectiveTo investigate the additional value of EEG functional connectivity features, in addition to non-coupling EEG features, for outcome prediction of comatose patients after cardiac arrest.MethodsProspective, multicenter cohort study. Coherence, phase locking value, and mutual information were calculated in 19-channel EEGs at 12 h, 24 h and 48 h after cardiac arrest. Three sets of machine learning classification models were trained and validated with functional connectivity, EEG non-coupling features, and a combination of these. Neurological outcome was assessed at six months and categorized as “good” (Cerebral Performance Category [CPC] 1–2) or “poor” (CPC 3–5).ResultsWe included 594 patients (46% good outcome). A sensitivity of 51% (95% CI: 34–56%) at 100% specificity in predicting poor outcome was achieved by the best functional connectivity-based classifier at 12 h after cardiac arrest, while the best non-coupling-based model reached a sensitivity of 32% (0–54%) at 100% specificity using data at 12 h and 48 h. Combination of both sets of features achieved a sensitivity of 73% (50–77%) at 100% specificity.ConclusionFunctional connectivity measures improve EEG based prediction models for poor outcome of postanoxic coma.SignificanceFunctional connectivity features derived from early EEG hold potential to improve outcome prediction of coma after cardiac arrest.  相似文献   
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Effective anticoagulation status may determine the recanalization and outcome of cerebral venous thrombosis (CVT). We report impact of anticoagulation status on recanalization and outcome of CVT. This is a retrospective study on 126 patients with CVT diagnosed on magnetic resonance venography (MRV). Their clinical features and risk factors were noted. The data were retrieved from a prospectively maintained registry, and international normalized ratio (INR) was noted after discharge till 3 months. All the patients were on acenocoumarol. Based on INR value, patients were categorized as Group A (effective anticoagulation INR within the therapeutic range or above) and Group B (ineffective anticoagulation INR > 50% below the therapeutic range). A repeat MRV at 3 months was done for recanalization. Outcome at 3 months was evaluated using modified Rankin Scale (mRS), and categorized as good (mRS ≤ 2) and poor (mRS 2 or more) 101(80.2%) patients were in group A and 25(19.8%) in group B. Their demographic, risk factors, magnetic resonance imaging (MRI) and MRV findings were comparable. On repeat MRV, recanalization occurred in 22/24(91.7%); 15(88%) in group A and 7(100%) in group B. Recanalization was independent of coagulation status. Seven (5.6%) patients died and 107(84.9%) had good outcome; 85(84.2%) in group A and 22(88%) in group B. Kaplan Meier analysis also did not reveal survival or good outcome benefits between the groups. In CVT, outcome and recanalization at 3 months are not dependent on coagulation status. Further prospective studies are needed regarding duration of anticoagulant and its impact on recanalization and outcome.  相似文献   
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目的 对已公开发表的新冠肺炎核心指标集及其研究方法进行比较分析,为临床试验和证据转化研究提供参考信息。方法 计算机检索COMET数据库,并补充检索CNKI、WanFang、PubMed、Web of Science、The Cochrane Library等数据库,收集发表的新型冠状病毒肺炎(Coronavirus Disease 2019,COVID-19)核心指标集(Core Outcome Set,COS)研究,检索时间截至为2021年3月31日。按照纳入排除标准筛选文献,并提取研究基本信息、研究方法及指标数据,对其进行描述性分析。结果 共纳入5项COVID-19核心指标集相关研究(4项为COVID-19-COS研究,1项为COVID-19核心指标测量工具研究)。相同的结局指标包括死亡率、病毒核酸检测、临床进展、恢复期、临床症状评分及临床分型等。指标来源主要来自临床试验注册平台和问卷调查;达成共识的方法主要采用共识会议;利益相关群体中临床专家、方法学专家和医疗管理人员涉及较多。结论 不同的新冠肺炎核心指标集研究有一定的共性,但由于应用场景不同,也存在一定差异。随着对疾病认识的深化,相关COVID-19核心指标需要加强测量方法和疗程推荐。  相似文献   
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《Clinical neurophysiology》2021,132(1):157-164
ObjectiveEarly EEG contains reliable information for outcome prediction of comatose patients after cardiac arrest. We introduce dynamic functional connectivity measures and estimate additional predictive values.MethodsWe performed a prospective multicenter cohort study on continuous EEG for outcome prediction of comatose patients after cardiac arrest. We calculated Link Rates (LR) and Link Durations (LD) in the α, δ, and θ band, based on similarity of instantaneous frequencies in five-minute EEG epochs, hourly, during 3 days after cardiac arrest. We studied associations of LR and LD with good (Cerebral Performance Category (CPC) 1–2) or poor outcome (CPC 3–5) with univariate analyses. With random forest classification, we established EEG-based predictive models. We used receiver operating characteristics to estimate additional values of dynamic connectivity measures for outcome prediction.ResultsOf 683 patients, 369 (54%) had poor outcome. Patients with poor outcome had significantly lower LR and longer LD, with largest differences 12 h after cardiac arrest (LRθ 1.87 vs. 1.95 Hz and LDα 91 vs. 82 ms). Adding these measures to a model with classical EEG features increased sensitivity for reliable prediction of poor outcome from 34% to 38% at 12 h after cardiac arrest.ConclusionPoor outcome is associated with lower dynamics of connectivity after cardiac arrest.SignificanceDynamic functional connectivity analysis may improve EEG based outcome prediction.  相似文献   
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目的对比不同术式对肝内胆管结石再次手术效果,探讨肝段或肝叶切除术的优势。 方法回顾性分析2011年8月至2014年8月收治的79例肝内胆管结石再次手术患者资料,依据术式不同分为肝段(叶)切除术组(甲组,n=38)和非肝段(叶)切除术组(乙组,n=41)两组。应用SPSS 19.0软件对所有临床数据进行统计学分析,手术相关指标等以( ±s)的形式表示,组间比较采用独立t检验;术后并发症发生情况及预后情况等计数资料以例(%)的形式表示,采用χ2检验;P<0.05差异有统计学意义。 结果两组患者术中出血量、手术时间及术后住院时间相比,差异无统计学意义(P>0.05);甲组患者的术后并发症发生率5.3%(2/38)显著低于乙组22.0%(9/41)(P<0.05);甲组残留结石发生率、症状复发率2.6%(1/38)、 0(0/41)均显著低于乙组17.1%(7/41)、 12.2%(5/41)(P<0.05),差异有统计学意义(P<0.05);但两组患者的病死率2.6%(1/38)和0(0/41)相比,差异无统计学意义(P>0.05)。 结论肝段(叶)切除术能够有效改善肝内胆管结石再次手术效果,值得推广。  相似文献   
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