Cómo usar


La BVS es una colección de más de 32 millones de referencias bibliográficas de documentos que se organizan en bases de datos, como MEDLINE, LILACS, WHO IRIS y OPS IRIS, así como decenas de bases nacionales, temáticas e institucionales con información técnica y científica en ciencias de la salud.

Información importante antes de iniciar la cosecha de metadatos abiertos de fuentes de información de la BVS

¿En qué formatos están disponibles los metadatos?

Los metadatos están disponibles en formatos: XML, JSON, RIS, CSV y RSS.

A continuación se muestra un ejemplo de cada uno de estos formatos.



Ex: XML

<response>
<lst name="responseHeader">
<int name="status">0</int>
<int name="QTime">262</int>
<lst name="params">
<str name="q">malaria</str>
</lst>
</lst>
<result name="response" numFound="103254" start="0">
<doc>
<str name="id">mdl-34058927</str>
<arr name="db">
<str>MEDLINE</str>
</arr>
<str name="bvs">regional</str>
<arr name="instance">
<str>regional</str>
<str>fronteriza</str>
<str>bvsespana</str>
<str>carpha</str>
<str>paraguay</str>
<str>panama</str>
<str>bvsms</str>
<str>peru</str>
</arr>
<arr name="type">
<str>article</str>
</arr>
<arr name="au">
<str>Dange, Prasad</str>
<str>Gupta, Ankesh</str>
<str>Juneja, Richa</str>
<str>Saxena, Renu</str>
</arr>
<arr name="afiliacao_autor">
<str>Dange P; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India.</str>
<str>Gupta A; Department of Medicine, 28730All India Institute of Medical Sciences, New Delhi, India.</str>
<str>Juneja R; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India.</str>
<str>Saxena R; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India.</str>
</arr>
<arr name="ti_en">
<str>A case of splenomegaly with RK-39 positivity: A diagnostic pitfall.</str>
</arr>
<arr name="ti">
<str>A case of splenomegaly with RK-39 positivity: A diagnostic pitfall.</str>
</arr>
<arr name="af">
<str>Department of Hematology</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>Department of Medicine</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>Department of Hematology</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>Department of Hematology</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>India</str>
</arr>
<arr name="af_cluster">
<str>Department of Hematology</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>Department of Medicine</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>Department of Hematology</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>Department of Hematology</str>
<str>28730All India Institute of Medical Sciences</str>
<str>New Delhi</str>
<str>India</str>
<str>India</str>
</arr>
<arr name="auid">
<str>0000-0002-7187-6021</str>
</arr>
<arr name="pg">
<str>494755211020610</str>
</arr>
<arr name="ta">
<str>Trop Doct</str>
<str>Trop. doctor</str>
<str>Tropical doctor</str>
</arr>
<arr name="fo">
<str>Trop Doct;: 494755211020610, 2021 May 31. </str>
</arr>
<arr name="is">
<str>1758-1133</str>
</arr>
<arr name="la">
<str>en</str>
</arr>
<str name="da">202106</str>
<arr name="cp">
<str>GB</str>
<str>REINO UNIDO</str>
<str>UNITED KINGDOM</str>
<str>REINO UNIDO</str>
<str>UK</str>
<str>GREAT BRITAIN</str>
<str>INGLATERRA</str>
<str>ENGLAND</str>
<str>ESCOCIA</str>
<str>SCOTLAND</str>
</arr>
<arr name="ab">
<str>Long-standing moderate to marked splenomegaly suggests several differential diagnoses, both haematological and infectious, particularly leishmaniasis and malaria in endemic areas. Non-infectious causes may be missed in these regions, especially if pitfalls of serological testing are not considered. Careful patient evaluation is necessary to arrive at the correct diagnosis. We report a case of a young male whose hereditary spherocytosis was initially missed because of RK-39 positivity, splenomegaly and the fact that he hailed from an endemic region.</str>
</arr>
<arr name="pt">
<str>Artigo de Revista</str>
</arr>
<arr name="carpha_language">
<str>ingles</str>
</arr>
<str name="aid">10.1177/00494755211020610</str>
<arr name="ur">
<str>https://dx.doi.org/10.1177/00494755211020610</str>
</arr>
<str name="entry_date">20210601</str>
<str name="update_date">20210601</str>
<float name="weight">40.0</float>
<arr name="pais_afiliacao">
<str>^iIndia^eIndia^pÍndia^fInde</str>
</arr>
<arr name="kw">
<str>RK-39</str>
<str>diagnosis</str>
<str>hereditary disease</str>
<str>hereditary spherocytosis</str>
<str>kala-azar</str>
<str>leishmania</str>
<str>splenomegaly</str>
</arr>
<long name="_version_">1701906452085473280</long>
</doc>
</result>
<lst name="facet_counts">
<lst name="facet_queries"/>
<lst name="facet_fields">
<lst name="collection">
<int name="01-internacional">93315</int>
<int name="04-international_org">7857</int>
<int name="05-specialized">570</int>
<int name="05-specialized/BR">4</int>
<int name="06-national">1422</int>
<int name="06-national/AR">111</int>
<int name="06-national/BR">633</int>
<int name="06-national/CU">171</int>
<int name="06-national/ES">285</int>
<int name="06-national/PE">145</int>
<int name="06-national/PR">6</int>
<int name="07-terminology">37</int>
<int name="08-cvsp">96</int>
<int name="09-preprints">41</int>
</lst>
<lst name="db">
<int name="MEDLINE">89657</int>
<int name="WHOLIS">5666</int>
<int name="LILACS">3719</int>
<int name="PAHO">1236</int>
<int name="PAHOIRIS">955</int>
<int name="LIS">329</int>
<int name="IBECS">285</int>
<int name="colecionaSUS">264</int>
<int name="MedCarib">225</int>
<int name="SES-SP">214</int>
</lst>
<lst name="type_of_study">
<int name="prognostic_studies">17890</int>
<int name="risk_factors_studies">17129</int>
<int name="diagnostic_studies">10499</int>
<int name="observational_studies">8197</int>
<int name="etiology_studies">7062</int>
<int name="prevalence_studies">6466</int>
<int name="clinical_trials">5415</int>
<int name="screening_studies">5083</int>
<int name="case_reports">4209</int>
<int name="qualitative_research">3938</int>
</lst>
<lst name="la">
<int name="en">87729</int>
<int name="fr">5495</int>
<int name="es">4359</int>
<int name="pt">2047</int>
<int name="zh">1213</int>
<int name="ru">1166</int>
<int name="de">808</int>
<int name="it">245</int>
<int name="ar">218</int>
<int name="ja">176</int>
</lst>
<lst name="ta_cluster">
<int name="Malar J">6271</int>
<int name="Am J Trop Med Hyg">3423</int>
<int name="PLoS One">2496</int>
<int name="Trans R Soc Trop Med Hyg">2176</int>
<int name="Lancet">1428</int>
<int name="J Infect Dis">1059</int>
<int name="Infect Immun">963</int>
<int name="Acta Trop">941</int>
<int name="Trop Med Int Health">852</int>
<int name="Parasit Vectors">820</int>
</lst>
<lst name="pais_assunto">
<int name="africa">19899</int>
<int name="asia">10402</int>
<int name="america do sul">4977</int>
<int name="europa">3830</int>
<int name="brasil">2424</int>
<int name="america do norte">1824</int>
<int name="america central">865</int>
<int name="colombia">842</int>
<int name="caribe ingles">641</int>
<int name="oceania">426</int>
</lst>
<lst name="cc">
<int name="CH1.1">5666</int>
<int name="US1.1">2392</int>
<int name="BR1.1">1310</int>
<int name="ES1.1">262</int>
<int name="BR15.1">210</int>
<int name="BR1273.1">186</int>
<int name="BR67.1">174</int>
<int name="BR1719.1">166</int>
<int name="BR599.1">165</int>
<int name="VE1.1">163</int>
</lst>
<lst name="year_cluster">
<int name="2020">4336</int>
<int name="2016">4186</int>
<int name="2015">4105</int>
<int name="2014">4066</int>
<int name="2018">3946</int>
<int name="2017">3932</int>
<int name="2019">3862</int>
<int name="2013">3783</int>
<int name="2012">3745</int>
<int name="2011">3605</int>
</lst>
<lst name="type">
<int name="article">95298</int>
<int name="monography">2148</int>
<int name="congress and conference">719</int>
<int name="thesis">434</int>
<int name="internet resource">329</int>
<int name="non-conventional">324</int>
<int name="project document">253</int>
<int name="oba">96</int>
<int name="preprint">41</int>
<int name="terminology">37</int>
</lst>
<lst name="jd">
<int name="MEDICINA TROPICAL">9697</int>
<int name="MEDICINA">5382</int>
<int name="PARASITOLOGIA">3643</int>
<int name="DOENCAS TRANSMISSIVEIS">3562</int>
<int name="CIENCIA">2872</int>
<int name="SAUDE PUBLICA">2860</int>
<int name="BIOLOGIA MOLECULAR">1883</int>
<int name="BIOLOGIA">1735</int>
<int name="QUIMICA">1527</int>
<int name="MICROBIOLOGIA">1400</int>
</lst>
<lst name="pais_afiliacao">
<int name="^iUnited States^eEstados Unidos^pEstados Unidos^fÉtats-Unis d'Amérique">11031</int>
<int name="^iUnited kingdom^eReino Unido^pReino Unido^fRoyaume-Uni">5758</int>
<int name="^iIndia^eIndia^pÍndia^fInde">3956</int>
<int name="^iFrance^eFrancia^pFrança^fFrance">2944</int>
<int name="^iAustralia^eAustralia^pAustrália^fAustralie">2512</int>
<int name="^iBrazil^eBrasil^pBrasil^fBrésil">2485</int>
<int name="^iThailand^eTailandia^pTailândia^fThaïlande">1966</int>
<int name="^iGermany^eAlemania^pAlemanha^fAllemagne">1918</int>
<int name="^iNigeria^eNigeria^pNigéria^fNigeria">1578</int>
<int name="^iSwitzerland^eSuiza^pSuíça^fSuisse">1453</int>
</lst>
<lst name="cp">
<int name="ENGLAND">31678</int>
<int name="ESCOCIA">31678</int>
<int name="GB">31678</int>
<int name="GREAT BRITAIN">31678</int>
<int name="INGLATERRA">31678</int>
<int name="REINO UNIDO">31678</int>
<int name="SCOTLAND">31678</int>
<int name="UK">31678</int>
<int name="UNITED KINGDOM">31678</int>
<int name="EEUU">28022</int>
</lst>
<lst name="af_cluster">
<int name="USA">11929</int>
<int name="UK">5444</int>
<int name="India">4500</int>
<int name="France">3863</int>
<int name="Australia">3350</int>
<int name="London">2782</int>
<int name="Germany">2534</int>
<int name="Thailand">2509</int>
<int name="United Kingdom">2437</int>
<int name="Department of Medicine">2379</int>
</lst>
</lst>
<lst name="facet_dates"/>
<lst name="facet_ranges"/>
<lst name="facet_intervals"/>
<lst name="facet_heatmaps"/></lst>
</response>

Ex: JSON


{
   "diaServerResponse":[
      {
         "responseHeader":{
            "status":0,
            "QTime":250,
            "params":{
               "q":"malaria",
               "qt":"bvs",
               "rows":"1",
               "wt":"json",
            }
         },
         "response":{
            "numFound":103254,
            "start":0,
            "docs":[
               {
                  "id":"mdl-34058927",
                  "db":[
                     "MEDLINE"
                  ],
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                  ],
                  "type":[
                     "article"
                  ],
                  "au":[
                     "Dange, Prasad",
                     "Gupta, Ankesh",
                     "Juneja, Richa",
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                  ],
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                     "Gupta A; Department of Medicine, 28730All India Institute of Medical Sciences, New Delhi, India.",
                     "Juneja R; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India.",
                     "Saxena R; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India."
                  ],
                  "ti_en":[
                     "A case of splenomegaly with RK-39 positivity: A diagnostic pitfall."
                  ],
                  "ti":[
                     "A case of splenomegaly with RK-39 positivity: A diagnostic pitfall."
                  ],
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                     "Department of Hematology",
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                  "cp":[
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                  ],
                  "ab":[
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                  ],
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                  "ur":[
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         "facet_counts":{
            "facet_queries":{
               
            },
            "facet_fields":{
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Ex: RIS


TY - JOUR
AU - Dange, Prasad
AU - Gupta, Ankesh
AU - Juneja, Richa
AU - Saxena, Renu
AD - Dange P; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India.
AD - Gupta A; Department of Medicine, 28730All India Institute of Medical Sciences, New Delhi, India.
AD - Juneja R; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India.
AD - Saxena R; Department of Hematology, 28730All India Institute of Medical Sciences, New Delhi, India.
TI - A case of splenomegaly with RK-39 positivity: A diagnostic pitfall.
JO - Trop Doct
SN - 1758-1133
DB - MEDLINE
DP - http://bvsalud.org/
ID - mdl-34058927
LA - en
SP - 494755211020610
EP - 494755211020610
DA - 2021/06
PY - 2021
AB - Long-standing moderate to marked splenomegaly suggests several differential diagnoses, both haematological and infectious, particularly leishmaniasis and malaria in endemic areas. Non-infectious causes may be missed in these regions, especially if pitfalls of serological testing are not considered. Careful patient evaluation is necessary to arrive at the correct diagnosis. We report a case of a young male whose hereditary spherocytosis was initially missed because of RK-39 positivity, splenomegaly and the fact that he hailed from an endemic region.
UR - https://dx.doi.org/10.1177/00494755211020610
ER -

Ex: CSV


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"mdl-34058927","A case of splenomegaly with RK-39 positivity: A diagnostic pitfall.","Dange, Prasad; Gupta, Ankesh; Juneja, Richa; Saxena, Renu","Trop Doct;: 494755211020610, 2021 May 31. ","Trop Doct","MEDLINE","article","en","2021","","GB","https://dx.doi.org/10.1177/00494755211020610","Long-standing moderate to marked splenomegaly suggests several differential diagnoses, both haematological and infectious, particularly leishmaniasis and malaria in endemic areas. Non-infectious causes may be missed in these regions, especially if pitfalls of serological testing are not considered. Careful patient evaluation is necessary to arrive at the correct diagnosis. We report a case of a young male whose hereditary spherocytosis was initially missed because of RK-39 positivity, splenomegaly and the fact that he hailed from an endemic region.",20210601,,,1758-1133

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Acceso a metadatos a través de la interfaz de búsqueda.

computer

La forma más sencilla de obtener los metadatos de la BVS es mediante el uso de la interfaz de búsqueda. Puede realizar la búsqueda combinando los campos y filtros disponibles y al llegar a un conjunto de resultados de interés, utilice las opciones de exportación disponibles en la interfaz. Para obtener más detalles sobre cómo usar, haga clic en el botón de abajo

Interfaz de búsqueda

Acceso a metadatos mediante llamada programática (script)

computer

Otra forma de obtener los metadatos de la BVS es mediante el uso de la API de la interfaz de búsqueda. Puedes realizar búsquedas, hacer uso de cursores (from y count) y obtener el resultado en diferentes formatos. Para obtener más detalles sobre cómo utilizar la API, haga clic en el botón de abajo.

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