Lecturologia: leyendo articulos medicos, “Reading Journals” (Wyath)


No se esfuercen, ni critiquen, no tenia la menor idea de como llamar a este topico. Alguna vez lo llame “Gerenciamiento de la Informacion”, pero deja varios temas afuera, “Como leer articulos medicos” ya es el titulo de uno de los articulos que voy a presentar en algun momento, asi que, a sabienndas que la bibliometria tiene muchos mas recursos que los que yo puedo aportar aqui, tampoco quise poner ese nombre. Si hay millones de articulos medicos, la cantidad de articulos cientificos que nos dicen como leer los mismos y no morir en el intento, no resulta menor. A tal punto que ya hay varios blogs que se dedican a esto. En mi caso, empezo con la busqueda de un original de un articulo del cual habia leido el resumen y me intereso. Con todas mis nuevas herramientas de ubuntu, y agregando otras que ya provee mozilla, puedo asegurarles que aun asi, intentar mostrar el articulo no fue facil. Asi que pueden leer dos articulos: una que encontre en la revista Atencion Primaria: “Como estar actualizado a traves de Internet” (que lo guarde porque es toda una obra de museo, y que nos recuerda que hace 10 años, era posible leer el BMJ en forma gratuita, al menos en España, y la version original del que buscaba: Wyatt. Reading journals J R Soc Med 2000 93 423-7.

El primero no esta indexado en Medline, lo que suele aparejar ciertas dificultades con muchas revistas en nuestro idioma. Aunque en el original figure una version en Ingles, seguramente agregada luego que Elselvier se hiciera cargo. Por cierto, existe la posibilidad que podamos suscribirnos y leer el texto en forma gratuita, supongo que luego de 5 años de publicado.

Claro que parte de esta serie que inicio, tiene como objetivo tambien que los articulos sean citados correctamente. Algo que tampoco resulta facil, ya que existen distintos programas que nos permiten “administrar” nuestra bibliografia. Y en este caso, elegi hacerlo bajo las normas de Vancouver, utilizando un interesante recurso que se llama ……Citeulike

No lo voy a poder hacer en el primer caso (por cuestiones de tiempo nada mas). Pero si intentare hacerlo en forma automatizada a traves de Citeulike……………..luego de 15 minutos me rindo, no lo logre 😦

Introduccion al Medline


Introducción al Medline


  • Coletti, M. H. and H. L. Bleich (2001). “Medical subject headings used to search the biomedical literature.” J Am Med Inform Assoc 8(4): 317-23.
    Siguiendo con los artí­culos históricos, Coletti publica en el 40° aniversario de la creación del MeSH (Medical Subject Headings) una revisión histórica acerca de del Index Medicus que luego devino en MeSH, describiendo el proceso de indexación a lo largo de los años y detallando sus fortalezas en el momento de realizar una búsqueda bibliográfica en la base de datos de Medline.

Archivo completo en formato .pdf (75 Kb)

  • Jiménez Miranda, J. (1998). “Acceso a MEDLINE y LILACS mediante el MeSH y el DeCS ” ACIMED 6(3): 153-162.
    A partir de la creación del MeSH, este vocabulario ha sido utilizado para múltiples proyectos y desarrollos para la búsqueda de información biomédica. El vocabulario DeCS (Descriptores en Ciencias de la Salud) creado por el BIREME para la base de datos LILACS es uno de los vocabularios que han sido desarrollados a partir del MeSH. En este trabajo se explican las caracterí­sticas de ambos, analizando su estructura y sus componentes, así­ como su relación con los principios aplicados en la indización, en especial, la especificidad y la exhaustividad.

Acceso directo al texto completo

  • Lowe, H. J. and G. O. Barnett (1994). “Understanding and using the medical subject headings (MeSH) vocabulary to perform literature searches.” Jama 271(14): 1103-8.
    El MeSH es el tesauro utilizado para la indexación en el Medline. A medida que esta base de datos fue utilizada por usuarios que no provení­an de disciplinas relacionadas con la bibliotecologí­a, -es decir sin conocimientos sobre el concepto de indexación-, fue necesario capacitarlos en el manejo de este vocabulario controlado. Este es uno de los primeros artí­culos que explica la estructura del MeSH para los “no expertos” que provienen del área de la salud.

Archivo completo en formato .pdf (1,2 Mb)

  • Marshall, J. G. (1992). “The impact of the hospital library on clinical decision making: the Rochester study.” Bull Med Libr Assoc 80(2): 169-78.
    La búsqueda de información en salud permite que el profesional pueda estar mejor informado para la correcta toma de decisiones en la atención de los pacientes. Este estudio midió el impacto que tuvo el hecho de acceder a información en el cuidado de los pacientes en 448 médicos del área de Rochester en el estado de New York. El 80% de los participantes confirmó que el hecho de haber accedido a algún tipo de información cientí­fica modificó la forma en la atención de sus pacientes. Entre los aspectos que se modificaron se puede destacar que el 45% cambió la indicación de una droga, el 51% cambio en la indicación de exámenes diagnósticos y 29% modificó el diagnóstico..

Archivo completo en formato .pdf (1,8 Mb)

Indexacion y recuperacion de informacion medica


Indexación y Recuperación de la Información

  • Jenuwine, E. S. and J. A. Floyd (2004). “Comparison of Medical Subject Headings and text-word searches in MEDLINE to retrieve studies on sleep in healthy individuals.” J Med Libr Assoc 92(3): 349-53.
    Este artí­culo describe la comparación en la recuperación de citas de la base de datos Medline entre la búsqueda por un vocabulario controlado y texto libre tomando como parámetro los estudios relacionados con el sueño en individuos sanos. Los autores encuentran que ambas estrategias se complementan por lo tanto, deben ser utilizadas conjuntamente para maximizar la posibilidad de obtener resultados.

Archivo completo en formato .pdf (138 Kb)

  • Rau, J. L. (2004). “Searching the literature and selecting the right references.” Respir Care 49(10): 1242-5.
    Este artí­culo forma parte de un número dedicado a brindar pautas y consejos para la creación y publicación de trabajos cientí­ficos. Describe el lugar que ocupa la búsqueda bibliográfica en el proceso de investigación, la descripción de los campos en la base de datos y el uso de operadores booleanos para la combinación de términos para focalizar la búsqueda.

Archivo completo en formato .pdf (299 Kb)

  • Smith, C. G., A. S. Herzka, et al. (2004). “Searching the medical literature.” Clin Orthop Relat Res(421): 43-9.
    Este trabajo es una breve revisión sobre las estrategias de búsqueda que puede ayudar a mejorar la productividad en el uso de bases de referencia bibliográfica como Medline o EMBASE. Describe también las caracterí­sticas de la búsqueda por texto libre y controlado, presentando las caracterí­sticas de las búsquedas especí­ficas como por autor o por cita.

Archivo completo en formato .pdf (82 Kb)

  • Steinbrook, R. (2006). “Searching for the right search–reaching the medical literature.” N Engl J Med 354(1): 4-7.
    La información indexada en forma automática por los motores de búsqueda en la Web ha modificado la forma de acceso y el uso de la información biomédica. Este trabajo describe cómo los profesionales e investigadores utilizan los motores de búsqueda como Google, Google Scholar y Yahoo como complemento de las búsquedas en PubMed, ya que utilizan diferentes recursos por la diversidad de necesidades de información.

Archivo completo en formato .pdf (657 kb)

  • Zhou, W., N. R. Smalheiser, et al. (2006). “A tutorial on information retrieval: basic terms and concepts.” J Biomed Discov Collab 1: 2.
    El uso de los sistemas de recuperación de información no requiere del conocimiento profundo del funcionamiento de estos sistemas para obtener resultados útiles. Sin embargo, conocer en profundidad el mecanismo de funcionamiento de estos sistemas puede ser útil para mejorar la eficacia y efectividad de las búsquedas. Este trabajo focaliza sobre estos aspectos.
    .

Archivo completo en formato .pdf (272 kb)

First Watch


Postpartum Depressive Symptoms Linked to Stress, Abuse

Symptoms of postpartum depression are strongly associated with abuse or other stress, a 17-state U.S. survey reported in MMWR finds.

During 2004–2005, nearly 52,000 women who had delivered a live infant in the preceding 2 to 6 months answered questions about their mood and their pleasure in activities. Among the participating states, Maine had the lowest level of self-reported depressive symptoms (12%) and New Mexico had the highest (20%).

Younger, less educated women and those receiving Medicaid were most likely to report symptoms. Risk factors also significantly associated with symptoms included:

  • physical abuse before or during pregnancy;
  • partner-related stress during pregnancy;
  • traumatic or financial stress during pregnancy;
  • using tobacco in the last 3 months of pregnancy.

An editorial note recommends screening women either at their postpartum visit or during well-child visits and conducting a diagnostic interview with those reporting depressive symptoms.

MMWR article (Free)

Just 20 Minutes of Physical Activity per Week Improves Mental Health

Being physically active just once a week for 20 minutes is enough to boost mental health, according to a cross-sectional study in the British Journal of Sports Medicine.

Researchers surveyed nearly 20,000 Scottish adults to determine their level of psychological distress and self-reported frequency of physical activity, including sports, walking, and domestic activity (e.g., heavy housework and gardening).

In adjusted analyses, at least one 20-minute session a week of any type of activity was associated with lower risk for psychological distress. For sports and all activity types combined, risk reductions increased as the frequency of activity increased.

British Journal of Sports Medicine homepage (Free abstract; full text requires subscription)

Pro-Suicide Information Abounds on Internet

An internet search on suicide is almost as likely to retrieve a pro-suicide site as a prevention page, BMJ reports.

U.K. researchers used popular search engines to look up 12 relevant terms, including “suicide” and “how to kill yourself.” They then analyzed the top 10 hits for each search, yielding a total of 480 hits. Among the findings:

  • Although 13% of hits were for sites dedicated to suicide prevention, 9% promoted suicide.
  • The three most frequently retrieved sites were pro-suicide; these sites, as well as Wikipedia (the fourth most frequent), provided detailed information about methods, including speed, certainty, and the amount of pain.
  • Some 20% of prevention sites, 55% of academic/policy sites, and 100% of news reports offered information about methods.

An accompanying article discusses the importance of parents monitoring their children’s internet activity. It also recommends a U.K.-based group, Papyrus, dedicated to the prevention of youth suicide.

BMJ article (Free)

Papyrus website (Free)

“The Grid”, una nueva internet?


A medida que se acerca el momento del encendido del LHC (si es que no lo evitan los abogados temerosos del fin del mundo), la comunidad de buscadores del Higgs comienza a ponerse nerviosa, pero conviene recordar que ese día supondrá también el nacimiento de The Grid, una nueva red de transmisión de datos completamente revolucionaria. La historia del CERN y la de Internet ya quedaron unidas para siempre cuando en 1989 Tim Berners Lee creó la World Wide Web, así que no sería improbable que el “día del botón rojo” estuviéramos asistiendo al nacimiento del modelo de red que vaya a sustituir a nuestra querida Internet.

"The Grid", una nueva internet?


A medida que se acerca el momento del encendido del LHC (si es que no lo evitan los abogados temerosos del fin del mundo), la comunidad de buscadores del Higgs comienza a ponerse nerviosa, pero conviene recordar que ese día supondrá también el nacimiento de The Grid, una nueva red de transmisión de datos completamente revolucionaria. La historia del CERN y la de Internet ya quedaron unidas para siempre cuando en 1989 Tim Berners Lee creó la World Wide Web, así que no sería improbable que el “día del botón rojo” estuviéramos asistiendo al nacimiento del modelo de red que vaya a sustituir a nuestra querida Internet.

It’s the Network, Stupid: Why Everything in Medicine Is Connected


The PLoS Medicine Editors

 

Citation: The PLoS Medicine Editors (2008) It’s the Network, Stupid: Why Everything in Medicine Is Connected. PLoS Med 5(3): e71 doi:10.1371/journal.pmed.0050071

Published: March 25, 2008

Copyright: © 2008 The PLoS Medicine Editors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

The PLoS Medicine Editors are Virginia Barbour, Jocalyn Clark, Larry Peiperl, Emma Veitch, and Gavin Yamey.

E-mail: medicine_editors@plos.org


One need look no further than Facebook to appreciate the significance and power of social networking. (Even PLoS has its own thriving Facebook community, which you can join at http://www.facebook.com/group.php?gid=2401713690.) But social networking is about more than just friends reunited; it’s a framework for understanding even the most basic of biological processes. Two papers in this month’s PLoS Medicine illustrate the insight that network theory brings to basic science, and the valuable interdisciplinarity that social network analysis can inspire.

Once the domain of social scientists—who have used social network analysis to study such diverse phenomena as kinship ties, organizational behavior, rumor spreading, and global air traffic—network theory has now entered the purview of health scientists. Network theory is concerned with mapping the links between entities, and social network analysis is the application of that theory to the social sciences. Searching for more social and environmental explanations for the obesity epidemic in America, for example, Christakis and Fowler [1] showed that obesity can spread from person to person, and that this spread depends on the nature of social ties: a person’s chance of becoming obese increased by 171% if he or she had a mutual friend who had become obese (even if they lived far away). Their risk increased by 40% if it was their sibling or spouse who became obese. Christakis and Fowler concluded that the social network is a crucial component—perhaps more so than genetics—in explaining obesity, a problem normally thought of as solely biological and behavioral.

Similarly, a major advance in stemming an outbreak of early syphilis in San Francisco was accomplished through understanding social networks. Klausner and colleagues found that the outbreak was tied to a network of sexual contacts who were meeting through Internet chat rooms [2]. The public health department was then able to initiate an electronic awareness and partner notification campaign using the same Web-based sexual network; 42% of named partners were identified and evaluated.

The observation that social relations and interdependency play a part in health is not surprising. But what network theory teaches us is that connections, even within the most complex systems, are not random (that is, they are not unpredictable). Instead, networks behave in ways that we can theorize, model, and predict.

In network analysis, the network becomes more important than the individual entity.

In its simplest form, network analysis can map ties between entities (whether elephants, humans, or genes). The same principles that allowed researchers to characterize the role of matriarchs in the social organization of the endangered African elephant species [3] also illuminated the collective dynamics fueling individual donations to the 2004 tsunami relief fund [4], and provided the techniques to model the gene network that controls T cell activation in humans [5].

But beyond identifying simple links, network analysis also helps to illustrate the structure of those ties—the nature of the relationships, the rules that govern them, and how we might predict various relationships or outcomes under various conditions. The network becomes more important than the individual entity. In this month’s PLoS Medicine paper by Lewis and colleagues [6], for example, investigating the transmission network (and its episodic nature) provides insights into HIV prevention that would not emerge from studying individual behavior.

Lewis and colleagues conducted their study because of a seeming contradiction. Genetic studies of HIV transmission networks have not corresponded well with the social contact networks revealed through interview data. The authors’ use of phylodynamics—a mix of genetics, epidemiology, and evolutionary biology—allowed a more sophisticated look. By examining and dating the genetic sequences of men attending an HIV clinic in central London, Lewis and colleagues found large clusters comprising ten or more individuals, a quarter of whom had transmitted the virus within several months of being infected. This information is valuable for understanding HIV transmission dynamics, not least because rapid transmission within clusters may result in the spread of drug-resistant strains.

Network analysis is also used in Mossong and colleagues’ study on the dynamics of influenza transmission, reported in this month’s PLoS Medicine [7]. Using paper diaries completed by over 7,000 Europeans documenting their daily physical and nonphysical contacts, Mossong and colleagues found varied mixing patterns, duration of contacts, and types of contacts. This information allowed the researchers to produce a mathematical model that suggests that 5–19-year-olds will suffer the highest burden of respiratory infection during any initial spread. Mossong and colleagues’ work illustrates how the patterning of social contacts—between and within groups, and in different social settings—and not just contact rates can influence how new emerging diseases spread. Physical exposure to an infectious agent, the authors conclude, is thus best modeled by taking into account the social network of close contacts and its patterning.

The physicist Albert-László Barabási argues in his book, Linked, that “there is a path between any two neurons in our brain, between any two companies in the world, between any two chemicals in our body. Nothing is excluded from this highly interconnected web of life” [8]. As health professionals, we might find network analysis useful in helping us describe and explain the connections in matters of health, whether they be at the cellular or population level. But we will also want to act.

Indeed, the greatest value in understanding networks lies in what they can tell us about taking action. The same insights generated from social network analysis about the spread of disease hold the key to developing effective interventions to halt that spread. The nature of social networks that drive transmission of syphilis and other sexually transmitted infections, for example, demonstrate that the Internet is an appropriate place to deliver safe sex education [9–11]. Exploiting the peer influences that feed the social network of obesity (or smoking, or substance abuse) could be a meaningful way to spread healthy behaviors. Even in diseases that appear intractable to our campaigns and controls, we might best inform policy makers and health promoters by considering: It’s the network, stupid.

References

  1. Christakis NA, Fowler JH (2007) The spread of obesity in a large social network over 32 years. N Engl J Med 357: 370–379. Find this article online
  2. Klausner JD, Wolf W, Fischer-Ponce L, Zolt I, Katz MH (2000) Tracing a syphilis outbreak through cyberspace. JAMA 284: 447–449. Find this article online
  3. McComb K, Moss C, Durant SM, Baker L, Sayialel S (2001) Matriarchs as repositories of social knowledge in African elephants. Science 292: 491–494. Find this article online
  4. Schweitzer F, Mach R (2008) The epidemics of donations: Logistic growth and power-laws. PLoS ONE 3: e1458. doi:10.1371/journal.pone.0001458.
  5. Palacios R, Goni J, Martinez-Forero I, Iranzo J, Sepulcre J, et al. (2007) A network analysis of the human t-cell activation gene network identifies jagged1 as a therapeutic target for autoimmune diseases. PLoS ONE 2: e1222. doi:10.1371/journal.pone.0001222.
  6. Lewis F, Hughes GJ, Rambaut A, Pozniak A, Leigh Brown AJ (2008) Episodic sexual transmission of HIV revealed by molecular phylodynamics. PLoS Med 5: e50. doi:10.1371/journal.pmed.0050050. Find this article online
  7. Mossong J, Hens N, Jit M, Beutels P, Auranen K, et al. (2008) Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med 5: e74. doi:10.1371/journal.pmed.0050074. Find this article online
  8. Barabási A-L (2003) Linked: How everything is connected to everything else and what it means New York: Plume. 304 p.
  9. Benotsch EG, Kalichman S, Cage M (2002) Men who have met sex partners via the Internet: Prevalence, predictors, and implications for HIV prevention. Arch Sex Behav 31: 177–183. Find this article online
  10. Bolding G, Davis M, Hart G, Sherr L, Elford J (2005) Gay men who look for sex on the Internet: Is there more HIV/STI risk with online partners. AIDS 19: 961–968. Find this article online
  11. Curioso WH, Blas MM, Nodell B, Alva IE, Kurth AE (2007) Opportunities for providing web-based interventions to prevent sexually transmitted infections in Peru. PLoS Med 4: e11. doi:10.1371/journal.pmed.0040011. Find this article online

It's the Network, Stupid: Why Everything in Medicine Is Connected


The PLoS Medicine Editors

 

Citation: The PLoS Medicine Editors (2008) It’s the Network, Stupid: Why Everything in Medicine Is Connected. PLoS Med 5(3): e71 doi:10.1371/journal.pmed.0050071

Published: March 25, 2008

Copyright: © 2008 The PLoS Medicine Editors. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

The PLoS Medicine Editors are Virginia Barbour, Jocalyn Clark, Larry Peiperl, Emma Veitch, and Gavin Yamey.

E-mail: medicine_editors@plos.org


One need look no further than Facebook to appreciate the significance and power of social networking. (Even PLoS has its own thriving Facebook community, which you can join at http://www.facebook.com/group.php?gid=2401713690.) But social networking is about more than just friends reunited; it’s a framework for understanding even the most basic of biological processes. Two papers in this month’s PLoS Medicine illustrate the insight that network theory brings to basic science, and the valuable interdisciplinarity that social network analysis can inspire.

Once the domain of social scientists—who have used social network analysis to study such diverse phenomena as kinship ties, organizational behavior, rumor spreading, and global air traffic—network theory has now entered the purview of health scientists. Network theory is concerned with mapping the links between entities, and social network analysis is the application of that theory to the social sciences. Searching for more social and environmental explanations for the obesity epidemic in America, for example, Christakis and Fowler [1] showed that obesity can spread from person to person, and that this spread depends on the nature of social ties: a person’s chance of becoming obese increased by 171% if he or she had a mutual friend who had become obese (even if they lived far away). Their risk increased by 40% if it was their sibling or spouse who became obese. Christakis and Fowler concluded that the social network is a crucial component—perhaps more so than genetics—in explaining obesity, a problem normally thought of as solely biological and behavioral.

Similarly, a major advance in stemming an outbreak of early syphilis in San Francisco was accomplished through understanding social networks. Klausner and colleagues found that the outbreak was tied to a network of sexual contacts who were meeting through Internet chat rooms [2]. The public health department was then able to initiate an electronic awareness and partner notification campaign using the same Web-based sexual network; 42% of named partners were identified and evaluated.

The observation that social relations and interdependency play a part in health is not surprising. But what network theory teaches us is that connections, even within the most complex systems, are not random (that is, they are not unpredictable). Instead, networks behave in ways that we can theorize, model, and predict.

In network analysis, the network becomes more important than the individual entity.

In its simplest form, network analysis can map ties between entities (whether elephants, humans, or genes). The same principles that allowed researchers to characterize the role of matriarchs in the social organization of the endangered African elephant species [3] also illuminated the collective dynamics fueling individual donations to the 2004 tsunami relief fund [4], and provided the techniques to model the gene network that controls T cell activation in humans [5].

But beyond identifying simple links, network analysis also helps to illustrate the structure of those ties—the nature of the relationships, the rules that govern them, and how we might predict various relationships or outcomes under various conditions. The network becomes more important than the individual entity. In this month’s PLoS Medicine paper by Lewis and colleagues [6], for example, investigating the transmission network (and its episodic nature) provides insights into HIV prevention that would not emerge from studying individual behavior.

Lewis and colleagues conducted their study because of a seeming contradiction. Genetic studies of HIV transmission networks have not corresponded well with the social contact networks revealed through interview data. The authors’ use of phylodynamics—a mix of genetics, epidemiology, and evolutionary biology—allowed a more sophisticated look. By examining and dating the genetic sequences of men attending an HIV clinic in central London, Lewis and colleagues found large clusters comprising ten or more individuals, a quarter of whom had transmitted the virus within several months of being infected. This information is valuable for understanding HIV transmission dynamics, not least because rapid transmission within clusters may result in the spread of drug-resistant strains.

Network analysis is also used in Mossong and colleagues’ study on the dynamics of influenza transmission, reported in this month’s PLoS Medicine [7]. Using paper diaries completed by over 7,000 Europeans documenting their daily physical and nonphysical contacts, Mossong and colleagues found varied mixing patterns, duration of contacts, and types of contacts. This information allowed the researchers to produce a mathematical model that suggests that 5–19-year-olds will suffer the highest burden of respiratory infection during any initial spread. Mossong and colleagues’ work illustrates how the patterning of social contacts—between and within groups, and in different social settings—and not just contact rates can influence how new emerging diseases spread. Physical exposure to an infectious agent, the authors conclude, is thus best modeled by taking into account the social network of close contacts and its patterning.

The physicist Albert-László Barabási argues in his book, Linked, that “there is a path between any two neurons in our brain, between any two companies in the world, between any two chemicals in our body. Nothing is excluded from this highly interconnected web of life” [8]. As health professionals, we might find network analysis useful in helping us describe and explain the connections in matters of health, whether they be at the cellular or population level. But we will also want to act.

Indeed, the greatest value in understanding networks lies in what they can tell us about taking action. The same insights generated from social network analysis about the spread of disease hold the key to developing effective interventions to halt that spread. The nature of social networks that drive transmission of syphilis and other sexually transmitted infections, for example, demonstrate that the Internet is an appropriate place to deliver safe sex education [9–11]. Exploiting the peer influences that feed the social network of obesity (or smoking, or substance abuse) could be a meaningful way to spread healthy behaviors. Even in diseases that appear intractable to our campaigns and controls, we might best inform policy makers and health promoters by considering: It’s the network, stupid.

References

  1. Christakis NA, Fowler JH (2007) The spread of obesity in a large social network over 32 years. N Engl J Med 357: 370–379. Find this article online
  2. Klausner JD, Wolf W, Fischer-Ponce L, Zolt I, Katz MH (2000) Tracing a syphilis outbreak through cyberspace. JAMA 284: 447–449. Find this article online
  3. McComb K, Moss C, Durant SM, Baker L, Sayialel S (2001) Matriarchs as repositories of social knowledge in African elephants. Science 292: 491–494. Find this article online
  4. Schweitzer F, Mach R (2008) The epidemics of donations: Logistic growth and power-laws. PLoS ONE 3: e1458. doi:10.1371/journal.pone.0001458.
  5. Palacios R, Goni J, Martinez-Forero I, Iranzo J, Sepulcre J, et al. (2007) A network analysis of the human t-cell activation gene network identifies jagged1 as a therapeutic target for autoimmune diseases. PLoS ONE 2: e1222. doi:10.1371/journal.pone.0001222.
  6. Lewis F, Hughes GJ, Rambaut A, Pozniak A, Leigh Brown AJ (2008) Episodic sexual transmission of HIV revealed by molecular phylodynamics. PLoS Med 5: e50. doi:10.1371/journal.pmed.0050050. Find this article online
  7. Mossong J, Hens N, Jit M, Beutels P, Auranen K, et al. (2008) Social contacts and mixing patterns relevant to the spread of infectious diseases. PLoS Med 5: e74. doi:10.1371/journal.pmed.0050074. Find this article online
  8. Barabási A-L (2003) Linked: How everything is connected to everything else and what it means New York: Plume. 304 p.
  9. Benotsch EG, Kalichman S, Cage M (2002) Men who have met sex partners via the Internet: Prevalence, predictors, and implications for HIV prevention. Arch Sex Behav 31: 177–183. Find this article online
  10. Bolding G, Davis M, Hart G, Sherr L, Elford J (2005) Gay men who look for sex on the Internet: Is there more HIV/STI risk with online partners. AIDS 19: 961–968. Find this article online
  11. Curioso WH, Blas MM, Nodell B, Alva IE, Kurth AE (2007) Opportunities for providing web-based interventions to prevent sexually transmitted infections in Peru. PLoS Med 4: e11. doi:10.1371/journal.pmed.0040011. Find this article online

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Sonrie Google te mira


Fuente: MSNBC

SAN FRANCISCO – Google Inc. will begin storing the medical records of a few thousand people as it tests a long-awaited health service that’s likely to raise more concerns about the volume of sensitive information entrusted to the Internet search leader.

The pilot project to be announced Thursday will involve 1,500 to 10,000 patients at the Cleveland Clinic who volunteered to an electronic transfer of their personal health records so they can be retrieved through Google’s new service, which won’t be open to the general public.

Each health profile, including information about prescriptions, allergies and medical histories, will be protected by a password that’s also required to use other Google services such as e-mail and personalized search tools.


KOMO

Google, Cleveland Clinic Partner On Personal Health Record Service
InformationWeek – 1 hour ago
Google says the system is secure, but several groups warn that entrusting health information to an e-health provider opens potential privacy risks.
Google in joint venture with Cleveland Clinic Bizjournals.com
Google Expands Into Medical Software Business eFluxMedia
New York Times – Reuters – Ars Technica – Wall Street Journal
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Portal del medicamento


La Biblioteca Nacional de Medicina ha creado el Portal NLM Drug Information Portal . Este recurso brinda al público, profesionales de la salud e investigadores una puerta de entrada a información precisa de los medicamentos actuales.

Están disponibles para su búsqueda más de 15000 medicamentos. La interfaz de búsqueda requiere sólo el nombre del fármaco y estando disponible un corrector ortográfico.

Los resultados de búsqueda incluyen enlaces a información sobre fármacos en MedlinePlus ®, AIDSinfo ®, Medline / PubMed ®, LactMed, HSDB ®, la base de datos Dietary Supplements Labels Database, TOXLINE ®, DailyMed ®, ClinicalTrials.gov, PubChem, base de datos NIAID Anti-HIV/OI , ChemIDplus ®, @ FDA Drogas, DEA y USA.gov.

Archivos Argentinos de Pediatría – Vol. 105 Nro 6- Diciembre 2007



Reglamento de Publicaciones
Arch Argent Pediatr 2007; 105(6):481-485 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a01.pdf

Editorial
Archivos, un año más: sus logros y nuevas metas
Norma Rossato y José M. Ceriani Cernadas
Arch Argent Pediatr 2007; 105(6):486-487 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a02.pdf

Comentario editorial
Anemia por deficiencia de hierro: estrategias disponibles y controversias por resolver
Pablo Durán
Arch Argent Pediatr 2007; 105(6):488-490 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a03.pdf

Artículos originales
Hidróxido férrico polimaltosado contra sulfato ferroso en el tratamiento de la anemia ferropénica:estudio prospectivo aleatorizado
Hugo Donato, María C. Rapetti, Lorena Morán y Marcela Cavo
Arch Argent Pediatr 2007; 105(6):491-497 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a04.pdf

Vacuna anti-Haemophilus influenzae de tipo b (Hib) en el Calendario Nacional de Argentina:portación nasofaríngea de Hib tras 8 años de su introducción. Viviana Romanin, Laura Chiavetta, María C. Salvay, María J. Chiolo, Mabel Regueira,Adriana Barrios, Gloria Califano, Salvador García y Angela Gentile. Arch Argent Pediatr 2007; 105(6):498-505 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a05.pdf

Síndrome de activación macrofágica en pacientes con artritis idiopática juvenil sistémica: análisis de 17 casos observados en un hospital terciario. Ricardo A. G. Russo, María M. Katsicas, Matías M. Oleastro y Marta Zelazko. Arch Argent Pediatr 2007; 105(6):506-512 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a06.pdf

Información sobre salud en Internet: su empleo por pediatras y padres de pacientes. Ariel Melamud, Julio Puiggari, Guillermo Goldfarb, Héctor Cairoli y Paula Otero.    D([“mb”,”\u003cbr\>Arch Argent Pediatr 2007; 105(6):513-516 \u003ca href\u003d\”http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a07.pdf\” target\u003d\”_blank\” onclick\u003d\”return top.js.OpenExtLink(window,event,this)\”\>http://www.sap.org.ar/staticfil\u003cWBR\>es/archivos/2007/arch07_6\u003cWBR\>/v105n6a07.pdf\u003c/a\>\u003cbr\>\u003cbr\>Edulcorantes no nutritivos en bebidas sin alcohol: estimación de la ingesta diaria en niños y adolescentes\u003cbr\>Carolina E. Cagnasso, Laura B. López y Mirta E. Valencia\u003cbr\>Arch Argent Pediatr 2007; 105(6):517-521 \u003ca href\u003d\”http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a08.pdf\” target\u003d\”_blank\” onclick\u003d\”return top.js.OpenExtLink(window,event,this)\”\>http://www.sap.org.ar/staticfil\u003cWBR\>es/archivos/2007/arch07_6\u003cWBR\>/v105n6a08.pdf\u003c/a\>\u003cbr\>\u003cbr\>\u003cstrong\>Artículos especiales\u003c/strong\>\u003cbr\>Pediatría basada en la evidencia. Estudios de intervención\u003cbr\>Valeria Berlín y Graciela Demirdjian\u003cbr\>Arch Argent Pediatr 2007; 105(6):522-528 \u003ca href\u003d\”http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a09.pdf\” target\u003d\”_blank\” onclick\u003d\”return top.js.OpenExtLink(window,event,this)\”\>http://www.sap.org.ar/staticfil\u003cWBR\>es/archivos/2007/arch07_6\u003cWBR\>/v105n6a09.pdf\u003c/a\>\u003cbr\>\u003cbr\>Epigenética, ciencia de la adaptación biológica heredable\u003cbr\>Patricia Kaminker\u003cbr\>Arch Argent Pediatr 2007; 105(6):529-531 \u003ca href\u003d\”http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a10.pdf\” target\u003d\”_blank\” onclick\u003d\”return top.js.OpenExtLink(window,event,this)\”\>http://www.sap.org.ar/staticfil\u003cWBR\>es/archivos/2007/arch07_6\u003cWBR\>/v105n6a10.pdf\u003c/a\>\u003cbr\>\u003cstrong\>\u003cbr\>Comunicaciones breves\u003c/strong\>\u003cbr\>Estudios inmunológicos en niños con un episodio de infección bacteriana sistémica grave\u003cbr\>Néstor Pérez, Pablo Goldaracena, Federico Pérez y Lorena Regairaz\u003cbr\>Arch Argent Pediatr 2007; 105(6):532-536 \u003ca href\u003d\”http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a11.pdf\” target\u003d\”_blank\” onclick\u003d\”return top.js.OpenExtLink(window,event,this)\”\>http://www.sap.org.ar/staticfil\u003cWBR\>es/archivos/2007/arch07_6\u003cWBR\>/v105n6a11.pdf\u003c/a\>\u003cbr\>\u003cbr\>Acrodermatitis enteropática”,1] ); //–>
Arch Argent Pediatr 2007; 105(6):513-516 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a07.pdf

Edulcorantes no nutritivos en bebidas sin alcohol: estimación de la ingesta diaria en niños y adolescentes
Carolina E. Cagnasso, Laura B. López y Mirta E. Valencia
Arch Argent Pediatr 2007; 105(6):517-521 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a08.pdf

Artículos especiales
Pediatría basada en la evidencia. Estudios de intervención
Valeria Berlín y Graciela Demirdjian
Arch Argent Pediatr 2007; 105(6):522-528 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a09.pdf

Epigenética, ciencia de la adaptación biológica heredable
Patricia Kaminker
Arch Argent Pediatr 2007; 105(6):529-531 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a10.pdf

Comunicaciones breves

Estudios inmunológicos en niños con un episodio de infección bacteriana sistémica grave
Néstor Pérez, Pablo Goldaracena, Federico Pérez y Lorena Regairaz
Arch Argent Pediatr 2007; 105(6):532-536 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a11.pdf

Acrodermatitis enteropática
Pilar Álvarez, María E. Pais, Marisa Hernández, Andrea Soliani y Rita García Díaz
Arch Argent Pediatr 2007; 105(6):536-538 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a12.pdf

Hipertensión arterial grave en dos pacientes con homocistinuria familiar:respuesta al tratamiento con vitamina B6, ácido fólico y enalapril
María L. Maccari, Ana M. Meloni, Cecilia García Centurión y Fabio Veloso
Arch Argent Pediatr 2007; 105(6):538-542 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a13.pdf

Distonía sensible a L-Dopa: enfermedad de Segawa
Marcela L. Rolón, Susana Yalj, Nora Alabart y Enrique Menzano
Arch Argent Pediatr 2007; 105(6):542-544 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a14.pdf

Pediatría práctica
Consideraciones sobre el uso de tablas de crecimiento en la Argentina
Horacio Lejarraga
Arch Argent Pediatr 2007; 105(6):545-551 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a15.pdf

Preguntas comunes en Imágenes
Lesiones palpables de partes blandas
Fernanda Dovasio, José San Román y Mariana Kucharzcyk
Arch Argent Pediatr 2007; 105(6):552-554 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a16.pdf

Subcomisiones, Comités y Grupos de Trabajo

Desarrollo mamario prematuro: resultados de una encuesta en el 34º Congreso Argentino de Pediatría
Comité Nacional de Endocrinología
Arch Argent Pediatr 2007; 105(6):556-558 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a17.pdf

Correo de la SAP
Trabajos seleccionados: resúmenes y comentarios
Arch Argent Pediatr 2007; 105(6):559-568 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a18.pdf

Cartas al editor
Arch Argent Pediatr 2007; 105(6):569 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a19.pdf

Índice temático
Arch Argent Pediatr 2007; 105(6):570-576 http://www.sap.org.ar/staticfiles/archivos/2007/arch07_6/v105n6a20.pdf

Objetivos de Desarrollo del Milenio


7 horas, 91 días, 10 horas… es la cuenta atrás para alcanzar los ocho Objetivos de Desarrollo del Milenio planteados en el año 2000 para terminar con la pobreza en el mundo. Sin duda muy poco tiempo para todo lo que hay que hacer.

La ONU quiere recordar a todos los internautas que lograr estas metas para el año 2015 es cada vez más difícil. Para ello ha creado la página web Mdgmonitor.org, potenciada por Google y el fabricante de equipos Cisco. En el site podrá verse en qué parte del mundo están fracasando o teniendo éxito los Objetivos de Desarrollo del Milenio.

La página presenta tres objetivos principales. Por un lado, seguir el proceso a través de mapas interactivos. Asimismo, dará a conocer los avances de los países y apoyará a las distintas organizaciones que trabajan por conseguir estos objetivos.

La web reúne estadísticas de todo el mundo para presentar una instantánea de cómo está avanzando cada país para cumplir las ocho metas, desde reducir la mortalidad infantil hasta erradicar el hambre.

Los más escépticos pueden llegar a pensar que este tipo de iniciativas no sirven para nada. Sin embargo, al menos recordarán a la gente cuáles son los ocho objetivos a alcanzar y lo poco que queda para que finalice el plazo establecido.

Fuente: http://www.baquia.com