Base de dados : MEDLINE
Pesquisa : E01.370.520.500 [Categoria DeCS]
Referências encontradas : 7110 [refinar]
Mostrando: 1 .. 10   no formato [Detalhado]

página 1 de 711 ir para página                         

  1 / 7110 MEDLINE  
              next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:27775390
[Au] Autor:Dai Z; Rosen IG; Wang C; Barnett N; Luczak SE
[Ad] Endereço:Department of Mathematics, University of Southern California, Los Angeles, CA 90089-2532, United States. email: zhengdai@usc.edu.
[Ti] Título:Using drinking data and pharmacokinetic modeling to calibrate transport model and blind deconvolution based data analysis software for transdermal alcohol biosensors.
[So] Source:Math Biosci Eng;13(5):911-934, 2016 10 01.
[Is] ISSN:1551-0018
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:Alcohol researchers/clinicians have two ways to collect subject /patient field data, standard-drink self-report and the breath analyzer, neither of which is passive or accurate because active subject participation is required. Transdermal alcohol sensors have been developed to measure transdermal alcohol concentration (TAC), but they are used primarily as abstinence monitors because converting TAC into more meaningful blood/breath alcohol concentration (BAC/BrAC) is difficult. In this paper, BAC/BrAC is estimated from TAC by first calibrating forward distributed parameter-based convolution models for ethanol transport from the blood through the skin using patient-collected drinking data for a single drinking episode and a nonlinear pharmacokinetic metabolic absorption/elimination model to estimate BAC. TAC and estimated BAC are then used to fit the forward convolution filter. Nonlinear least squares with adjoint-based gradient computation are used to fit both models. Calibration results are compared with those obtained using BAC/BrAC from alcohol challenges and from standard, linear, metabolic absorption, and zero order kinetics-based elimination models, by considering peak BAC, time of peak, and area under the BAC curve. Our models (with population parameters) could be included in a smart phone app that makes it convenient for the subject/patient to enter drinking data for a single episode in the field.
[Mh] Termos MeSH primário: Consumo de Bebidas Alcoólicas
Técnicas Biossensoriais/métodos
Modelos Biológicos
Monitorização Ambulatorial/métodos
[Mh] Termos MeSH secundário: Técnicas Biossensoriais/instrumentação
Calibragem
Técnicas e Procedimentos Diagnósticos/instrumentação
Etanol/análise
Etanol/farmacocinética
Seres Humanos
Smartphone
Software
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, N.I.H., EXTRAMURAL
[Nm] Nome de substância:
3K9958V90M (Ethanol)
[Em] Mês de entrada:1712
[Cu] Atualização por classe:180228
[Lr] Data última revisão:
180228
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161025
[St] Status:MEDLINE
[do] DOI:10.3934/mbe.2016023


  2 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:27775510
[Au] Autor:Lucisano JY; Routh TL; Lin JT; Gough DA
[Ti] Título:Glucose Monitoring in Individuals With Diabetes Using a Long-Term Implanted Sensor/Telemetry System and Model.
[So] Source:IEEE Trans Biomed Eng;64(9):1982-1993, 2017 09.
[Is] ISSN:1558-2531
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: The use of a fully implanted first-generation prototype sensor/telemetry system is described for long-term monitoring of subcutaneous tissue glucose in a small cohort of people with diabetes. METHODS: Sensors are based on a membrane containing immobilized glucose oxidase and catalase coupled to oxygen electrodes and a telemetry system, integrated as an implant. The devices remained implanted for up to 180 days, with signals transmitted every 2 min to external receivers. RESULTS: The data include signal recordings from glucose clamps and spontaneous glucose excursions, matched, respectively, to reference blood glucose and finger-stick values. The sensor signals indicate dynamic tissue glucose, for which there is no independent standard, and a model describing the relationship between blood glucose and the signal is, therefore, included. The values of all model parameters have been estimated, including the permeability of adjacent tissues to glucose, and equated to conventional mass transfer parameters. As a group, the sensor calibration varied randomly at an average rate of -2.6%/week. Statistical correlation indicated strong association between the sensor signals and reference glucose values. CONCLUSION: Continuous long-term glucose monitoring in individuals with diabetes is feasible with this system. SIGNIFICANCE: All therapies for diabetes are based on glucose control, and therefore, require glucose monitoring. This fully implanted long-term sensor/telemetry system may facilitate a new era of management of the disease.
[Mh] Termos MeSH primário: Técnicas Biossensoriais/instrumentação
Glicemia/análise
Diabetes Mellitus/sangue
Monitorização Ambulatorial/instrumentação
Monitorização Ambulatorial/métodos
Próteses e Implantes
Telemetria/instrumentação
[Mh] Termos MeSH secundário: Glicemia/química
Condutometria/instrumentação
Diabetes Mellitus/diagnóstico
Fontes de Energia Elétrica
Desenho de Equipamento
Análise de Falha de Equipamento
Estudos de Viabilidade
Glucose Oxidase/química
Seres Humanos
Reprodutibilidade dos Testes
Sensibilidade e Especificidade
Integração de Sistemas
Transdutores
Tecnologia sem Fio/instrumentação
[Pt] Tipo de publicação:EVALUATION STUDIES; JOURNAL ARTICLE; RESEARCH SUPPORT, N.I.H., EXTRAMURAL
[Nm] Nome de substância:
0 (Blood Glucose); EC 1.1.3.4 (Glucose Oxidase)
[Em] Mês de entrada:1710
[Cu] Atualização por classe:180226
[Lr] Data última revisão:
180226
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161025
[St] Status:MEDLINE
[do] DOI:10.1109/TBME.2016.2619333


  3 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:29278546
[Au] Autor:Meier-Gibbons F; Berlin MS; Töteberg-Harms M
[Ad] Endereço:Eye Center Rapperswil, Merkurstrasse 50, Rapperswil, Switzerland.
[Ti] Título:Twenty-four hour intraocular pressure measurements and home tonometry.
[So] Source:Curr Opin Ophthalmol;29(2):111-115, 2018 Mar.
[Is] ISSN:1531-7021
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:PURPOSE OF REVIEW: IOP is the only treatable risk factor contributing to glaucoma and most management and treatment of glaucoma is based on IOP. However, current IOP measurements are limited to office hours and control of glaucoma in many patients would benefit from the ability to monitor IOP diurnally so as not to miss abnormal pressures, which occur outside of office hours Consequently, to improve patient care, the ability to enable accurate and minimally disruptive diurnal IOP monitoring would improve caring for these patients. RECENT FINDINGS: The studies we selected for this review can be divided into three categories: self-/home-tonometry, continuous invasive intraocular pressure measurements, and continuous noninvasive ocular measurements. SUMMARY: The desire to obtain better insight in our patients' true diurnal IOP has led to the development of home-tonometers, in addition to extraocular and intraocular continuous pressure measurement devices. All of the devices have respective advantages and disadvantages, but none to date completely fulfills the goal of providing a true diurnal IOP profile.Video abstracthttp://links.lww.com/COOP/A27.
[Mh] Termos MeSH primário: Ritmo Circadiano/fisiologia
Pressão Intraocular/fisiologia
Monitorização Ambulatorial
Tonometria Ocular/métodos
[Mh] Termos MeSH secundário: Seres Humanos
Hipertensão Ocular/diagnóstico
Autocuidado/métodos
[Pt] Tipo de publicação:JOURNAL ARTICLE; REVIEW
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180223
[Lr] Data última revisão:
180223
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171227
[St] Status:MEDLINE
[do] DOI:10.1097/ICU.0000000000000460


  4 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
[PMID]:29359905
[Au] Autor:Lee A; Fleming JA; Brude S
[Ti] Título:Healthcare Information Technology.
[So] Source:Issue Brief Health Policy Track Serv;2017:1-85, 2017 Dec 26.
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Registros Eletrônicos de Saúde/organização & administração
Informática Médica/organização & administração
[Mh] Termos MeSH secundário: Segurança Computacional
Desastres
Fraude
Interoperabilidade da Informação em Saúde
Seres Humanos
Monitorização Ambulatorial
Privacidade
Mídias Sociais/ética
Governo Estadual
Telemedicina/organização & administração
Estados Unidos
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1802
[Cu] Atualização por classe:180219
[Lr] Data última revisão:
180219
[Sb] Subgrupo de revista:T
[Da] Data de entrada para processamento:180124
[St] Status:MEDLINE


  5 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
[PMID]:29239590
[Au] Autor:Chan CS; Slaughter SE; Jones CA; Wagg AS
[Ti] Título:Measuring Activity Performance of Continuing Care Residents Using the activPAL: An Exploratory Study.
[So] Source:J Frailty Aging;5(3):158-161, 2016.
[Is] ISSN:2260-1341
[Cp] País de publicação:France
[La] Idioma:eng
[Ab] Resumo:Few studies have measured the activity patterns of continuing care residents using objective, uniaxial, accelerometers such as the activPAL. This exploratory study described the activity performance of continuing care residents and explored the correlation of activity performance with grip strength, falls and mobility. Data were gathered from 24 continuing care residents. Participants (82.3 ± 5.8 years of age), wore the activPAL an average of 12.60 hours per day (SD = 0.96) and were stepping for a median of 0.47 hours (25th and 75th percentiles = 0.31, 0.81) with a median step count of 1906 steps (25th and 75th percentiles = 1216, 3420). Participants were inactive (sitting/lying/standing) for a mean 11.99 hours (SD = 1.03). No statistically significant correlations were identified between activity performance (active time, inactive time or step count) and grip strength, falls or mobility. Ambulatory older adults in continuing care centres were more sedentary compared to community-dwelling older adults or older adults with cancer.
[Mh] Termos MeSH primário: Avaliação Geriátrica
Assistência de Longa Duração
Monitorização Ambulatorial/instrumentação
Movimento
[Mh] Termos MeSH secundário: Acidentes por Quedas/estatística & dados numéricos
Idoso de 80 Anos ou mais
Estudos Transversais
Feminino
Força da Mão/fisiologia
Seres Humanos
Masculino
Limitação da Mobilidade
[Pt] Tipo de publicação:JOURNAL ARTICLE; RESEARCH SUPPORT, NON-U.S. GOV'T
[Em] Mês de entrada:1801
[Cu] Atualização por classe:180115
[Lr] Data última revisão:
180115
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171215
[St] Status:MEDLINE


  6 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
[PMID]:27779133
[Au] Autor:Hickey A; Gunn E; Alcock L; Del Din S; Godfrey A; Rochester L; Galna B
[Ad] Endereço:Institute of Neuroscience, Newcastle University, Newcastle, UK.
[Ti] Título:Validity of a wearable accelerometer to quantify gait in spinocerebellar ataxia type 6.
[So] Source:Physiol Meas;37(11):N105-N117, 2016 Nov.
[Is] ISSN:1361-6579
[Cp] País de publicação:England
[La] Idioma:eng
[Ab] Resumo:Biomarkers are required to track disease progression and measure the effectiveness of interventions for people with spinocerebellar ataxia type-6 (SCA6). Gait is a potential biomarker that is sensitive to SCA6 which can be measured using wearable technology, reducing the need for expensive specialist facilities. However, algorithms used to calculate gait using data from wearables have not been validated in SCA6. This study sought to examine the validity of a single wearable for deriving 14 spatio-temporal gait characteristics in SCA6 and control cohorts. Participants performed eight intermittent walks along a 7 m instrumented walkway at their preferred walking pace while also wearing a single accelerometer-based wearable on L5. Gait algorithms previously validated in neurological populations and controls were used to derive gait characteristics. We assessed the bias, agreement and sensitivity of gait characteristics derived using the instrumented walkway and the wearable. Mean gait characteristics showed good to excellent agreement for both groups, although gait variability and asymmetry showed poor agreement between the two systems. Agreement improved considerably in the SCA6 group when people who used walking sticks were excluded from the analysis, suggesting poorer agreement in people with more severe gait impairment. Despite poor agreement for some characteristics, gait measured using the wearable was generally more sensitive to group differences than the instrumented walkway. Our findings indicate mean gait characteristics can be accurately measured using an accelerometer-based wearable in people SCA6 with mild-to-moderately severe gait impairment yet further development of algorithms are required for people with more severe symptoms.
[Mh] Termos MeSH primário: Acelerometria/instrumentação
Marcha
Monitorização Ambulatorial/instrumentação
Ataxias Espinocerebelares/fisiopatologia
Dispositivos Eletrônicos Vestíveis
[Mh] Termos MeSH secundário: Algoritmos
Feminino
Seres Humanos
Masculino
Meia-Idade
Reprodutibilidade dos Testes
Ataxias Espinocerebelares/diagnóstico
[Pt] Tipo de publicação:JOURNAL ARTICLE
[Em] Mês de entrada:1711
[Cu] Atualização por classe:171130
[Lr] Data última revisão:
171130
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161105
[St] Status:MEDLINE


  7 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:27771316
[Au] Autor:Afshar S; Seymour K; Kelly SB; Woodcock S; van Hees VT; Mathers JC
[Ad] Endereço:Human Nutrition Research Centre, Institute of Cellular Medicine, Newcastle University, Campus for Ageing and Vitality, Newcastle on Tyne, UK; Northumbria Healthcare NHS Foundation Trust, North Tyneside General Hospital, North Shields, UK. Electronic address: s.afshar@doctors.org.uk.
[Ti] Título:Changes in physical activity after bariatric surgery: using objective and self-reported measures.
[So] Source:Surg Obes Relat Dis;13(3):474-483, 2017 Mar.
[Is] ISSN:1878-7533
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:BACKGROUND: Many studies using self-reported physical activity (PA) assessment tools have suggested there is an increase in PA after bariatric surgery. OBJECTIVES: Our aim was to assess PA and sedentary behavior before bariatric surgery and at 6 months after, using subjective and objective tools. SETTING: Bariatric surgery candidates were recruited from a single center. METHODS: Demographic data, medical history, current medications, and anthropometric measurements were recorded. Participants were asked to complete a PA and lifestyle questionnaire and to wear an accelerometer on their nondominant wrist. Data were collected before and at 6 months after surgery. RESULTS: Twenty-two participants were included (17 gastric bypass; 4 sleeve gastrectomy; 1 intragastric balloon). Mean age was 46 years and the majority were female (72%). At a median of 6.3 months follow-up, there were significant reductions in measures of body fatness with a mean reduction of 27 kg in weight. The majority of daytime (12.5±1.1 out of 16 h) was spent in sedentary behavior presurgery with little change postsurgery (12.2±1.2; P = .186). Objectively measured mean moderate-vigorous PA did not change significantly from pre- to postsurgery (mean 11.5±13.9 and 11.6±13.1 min/d, respectively; P = .971). Self-reported total nonoccupational PA did not change significantly (P = .390). CONCLUSIONS: The majority of bariatric surgery candidates were physically inactive presurgery, and there was no significant change in either subjectively or objectively measured PA at follow-up. This patient group may benefit from objective PA assessment and interventions aimed at increasing PA.
[Mh] Termos MeSH primário: Cirurgia Bariátrica
Exercício/fisiologia
[Mh] Termos MeSH secundário: Acelerometria
Índice de Massa Corporal
Nível de Saúde
Seres Humanos
Meia-Idade
Monitorização Ambulatorial
Cuidados Pós-Operatórios
Cuidados Pré-Operatórios
Estilo de Vida Sedentário
Autorrelato
Inquéritos e Questionários
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE; OBSERVATIONAL STUDY
[Em] Mês de entrada:1711
[Cu] Atualização por classe:171128
[Lr] Data última revisão:
171128
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:161025
[St] Status:MEDLINE


  8 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:29049568
[Au] Autor:Abbasi J
[Ti] Título:Skin-like Wearable Health Monitors.
[So] Source:JAMA;318(14):1314, 2017 Oct 10.
[Is] ISSN:1538-3598
[Cp] País de publicação:United States
[La] Idioma:eng
[Mh] Termos MeSH primário: Sistemas Microeletromecânicos
Monitorização Ambulatorial/instrumentação
[Mh] Termos MeSH secundário: Seres Humanos
[Pt] Tipo de publicação:NEWS
[Em] Mês de entrada:1710
[Cu] Atualização por classe:171025
[Lr] Data última revisão:
171025
[Sb] Subgrupo de revista:AIM; IM
[Da] Data de entrada para processamento:171020
[St] Status:MEDLINE
[do] DOI:10.1001/jama.2017.14440


  9 / 7110 MEDLINE  
              first record previous record next record last record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28980702
[Au] Autor:Halford JJ; Sperling MR; Nair DR; Dlugos DJ; Tatum WO; Harvey J; French JA; Pollard JR; Faught E; Noe KH; Henry TR; Jetter GM; Lie OV; Morgan LC; Girouard MR; Cardenas DP; Whitmire LE; Cavazos JE
[Ad] Endereço:Department of Neurology, Medical University of South Carolina, Charleston, South Carolina, U.S.A.
[Ti] Título:Detection of generalized tonic-clonic seizures using surface electromyographic monitoring.
[So] Source:Epilepsia;58(11):1861-1869, 2017 Nov.
[Is] ISSN:1528-1167
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: A prospective multicenter phase III trial was undertaken to evaluate the performance and tolerability in the epilepsy monitoring unit (EMU) of an investigational wearable surface electromyographic (sEMG) monitoring system for the detection of generalized tonic-clonic seizures (GTCSs). METHODS: One hundred ninety-nine patients with a history of GTCSs who were admitted to the EMU in 11 level IV epilepsy centers for clinically indicated video-electroencephalographic monitoring also received sEMG monitoring with a wearable device that was worn on the arm over the biceps muscle. All recorded sEMG data were processed at a central site using a previously developed detection algorithm. Detected GTCSs were compared to events verified by a majority of three expert reviewers. RESULTS: For all subjects, the detection algorithm detected 35 of 46 (76%, 95% confidence interval [CI] = 0.61-0.87) of the GTCSs, with a positive predictive value (PPV) of 0.03 and a mean false alarm rate (FAR) of 2.52 per 24 h. For data recorded while the device was placed over the midline of the biceps muscle, the system detected 29 of 29 GTCSs (100%, 95% CI = 0.88-1.00), with a detection delay averaging 7.70 s, a PPV of 6.2%, and a mean FAR of 1.44 per 24 h. Mild to moderate adverse events were reported in 28% (55 of 199) of subjects and led to study withdrawal in 9% (17 of 199). These adverse events consisted mostly of skin irritation caused by the electrode patch that resolved without treatment. No serious adverse events were reported. SIGNIFICANCE: Detection of GTCSs using an sEMG monitoring device on the biceps is feasible. Proper positioning of this device is important for accuracy, and for some patients, minimizing the number of false positives may be challenging.
[Mh] Termos MeSH primário: Eletromiografia/métodos
Epilepsia Tônico-Clônica/diagnóstico
Epilepsia Tônico-Clônica/fisiopatologia
Monitorização Ambulatorial/métodos
[Mh] Termos MeSH secundário: Adolescente
Adulto
Idoso
Criança
Pré-Escolar
Feminino
Seres Humanos
Masculino
Meia-Idade
Estudos Prospectivos
Adulto Jovem
[Pt] Tipo de publicação:CLINICAL TRIAL, PHASE III; JOURNAL ARTICLE; MULTICENTER STUDY
[Em] Mês de entrada:1711
[Cu] Atualização por classe:171109
[Lr] Data última revisão:
171109
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171006
[St] Status:MEDLINE
[do] DOI:10.1111/epi.13897


  10 / 7110 MEDLINE  
              first record previous record
seleciona
para imprimir
Fotocópia
Texto completo
[PMID]:28980315
[Au] Autor:Onorati F; Regalia G; Caborni C; Migliorini M; Bender D; Poh MZ; Frazier C; Kovitch Thropp E; Mynatt ED; Bidwell J; Mai R; LaFrance WC; Blum AS; Friedman D; Loddenkemper T; Mohammadpour-Touserkani F; Reinsberger C; Tognetti S; Picard RW
[Ad] Endereço:Empatica, Milan, Italy.
[Ti] Título:Multicenter clinical assessment of improved wearable multimodal convulsive seizure detectors.
[So] Source:Epilepsia;58(11):1870-1879, 2017 Nov.
[Is] ISSN:1528-1167
[Cp] País de publicação:United States
[La] Idioma:eng
[Ab] Resumo:OBJECTIVE: New devices are needed for monitoring seizures, especially those associated with sudden unexpected death in epilepsy (SUDEP). They must be unobtrusive and automated, and provide false alarm rates (FARs) bearable in everyday life. This study quantifies the performance of new multimodal wrist-worn convulsive seizure detectors. METHODS: Hand-annotated video-electroencephalographic seizure events were collected from 69 patients at six clinical sites. Three different wristbands were used to record electrodermal activity (EDA) and accelerometer (ACM) signals, obtaining 5,928 h of data, including 55 convulsive epileptic seizures (six focal tonic-clonic seizures and 49 focal to bilateral tonic-clonic seizures) from 22 patients. Recordings were analyzed offline to train and test two new machine learning classifiers and a published classifier based on EDA and ACM. Moreover, wristband data were analyzed to estimate seizure-motion duration and autonomic responses. RESULTS: The two novel classifiers consistently outperformed the previous detector. The most efficient (Classifier III) yielded sensitivity of 94.55%, and an FAR of 0.2 events/day. No nocturnal seizures were missed. Most patients had <1 false alarm every 4 days, with an FAR below their seizure frequency. When increasing the sensitivity to 100% (no missed seizures), the FAR is up to 13 times lower than with the previous detector. Furthermore, all detections occurred before the seizure ended, providing reasonable latency (median = 29.3 s, range = 14.8-151 s). Automatically estimated seizure durations were correlated with true durations, enabling reliable annotations. Finally, EDA measurements confirmed the presence of postictal autonomic dysfunction, exhibiting a significant rise in 73% of the convulsive seizures. SIGNIFICANCE: The proposed multimodal wrist-worn convulsive seizure detectors provide seizure counts that are more accurate than previous automated detectors and typical patient self-reports, while maintaining a tolerable FAR for ambulatory monitoring. Furthermore, the multimodal system provides an objective description of motor behavior and autonomic dysfunction, aimed at enriching seizure characterization, with potential utility for SUDEP warning.
[Mh] Termos MeSH primário: Eletroencefalografia/métodos
Monitorização Ambulatorial/métodos
Convulsões/diagnóstico
Convulsões/fisiopatologia
[Mh] Termos MeSH secundário: Adolescente
Adulto
Criança
Pré-Escolar
Eletroencefalografia/instrumentação
Feminino
Seres Humanos
Masculino
Meia-Idade
Monitorização Ambulatorial/instrumentação
Estudos Retrospectivos
Punho
Adulto Jovem
[Pt] Tipo de publicação:JOURNAL ARTICLE; MULTICENTER STUDY
[Em] Mês de entrada:1711
[Cu] Atualização por classe:171109
[Lr] Data última revisão:
171109
[Sb] Subgrupo de revista:IM
[Da] Data de entrada para processamento:171006
[St] Status:MEDLINE
[do] DOI:10.1111/epi.13899



página 1 de 711 ir para página                         
   


Refinar a pesquisa
  Base de dados : MEDLINE Formulário avançado   

    Pesquisar no campo  
1  
2
3
 
           



Search engine: iAH v2.6 powered by WWWISIS

BIREME/OPAS/OMS - Centro Latino-Americano e do Caribe de Informação em Ciências da Saúde