Caloric Intake Capacity as Measured by a Standard Nutrient Drink Test Helps to Predict Weight Loss after Bariatric Surgery View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-12

AUTHORS

Beatriz Gras-Miralles, Jenny Rosario Haya, José Manuel Ramon Moros, Albert Goday Arnó, Sandra Torra Alsina, Lucas Ilzarbe Sánchez, Jordi Muñoz Galitó, Inés-Ana Ibáñez Zafón, M. Carmen Alonso Romera, Alejandra Parri Bonet, Felip Bory Ros, Montserrat Andreu Garcia, Sílvia Delgado-Aros

ABSTRACT

BACKGROUND: Instruments that enable to select individuals that will benefit most from bariatric surgery (BS) are necessary to increase its cost-efficiency. Our goal was to assess if intake capacity, measured with a standardized test, predicts response to BS. METHODS: Patients with criteria for BS were randomly allocated to laparoscopic gastric bypass (LRYGB) or sleeve gastrectomy (LSG). We measured caloric intake capacity before and 1 year after surgery using a standardized nutrient drink test. We evaluated if pre-surgery satiation could predict satiation and weight loss (%) 1 year after surgery using multiple regression modeling. Descriptive statistics are given as mean ± SD. RESULTS: Fourteen women (48 ± 9 years old, BMI 41 ± 3 kg/m(2)) were evaluated before and 11 ± 2.6 months after surgery (seven LRYGB, seven LSG). Caloric intake capacity diminished after surgery (-950 ± 85 kcal on average [70 ± 8 % decrease over basal intake capacity]; p=0.002) and similarly in both LRYGB (72 ± 7 % decrease) and LSG groups (68 ± 8 % decrease); p=0.5. There was a significant weight reduction after surgery (-32 ± 10 kg [30 ± 8 % of total basal weight]) with a mean post-surgery BMI of 29 ± 2 kg/m(2). The best predictive model of weight loss (%) after surgery (R (2)=89 %, p=0.0009) included: BMI (p=0.0004), surgery type (p=0.01) and pre-surgery intake capacity (p=0.006). Weight loss was higher in heavier patients and those undergoing LRYGB. Patients with higher intake capacity had a poorer outcome independently of basal BMI and surgery type. CONCLUSIONS: Caloric intake capacity, as measured by a standard nutrient drink test, helps to predict weight loss after bariatric surgery. This test might be useful in algorithms of obesity treatment decision. More... »

PAGES

2138-2144

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11695-014-1306-y

DOI

http://dx.doi.org/10.1007/s11695-014-1306-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1001410518

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24927691


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bariatric Surgery", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Energy Intake", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feeding Behavior", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Laparoscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Obesity, Morbid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Weight Loss", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institut Hospital del Mar d'Investigacions M\u00e8diques", 
          "id": "https://www.grid.ac/institutes/grid.20522.37", 
          "name": [
            "Neuro-Enteric Translational Science (NETS) Research Group, Institut Hospital del Mar d\u2019Investigacions M\u00e8diques (IMIM), Office 163.03 Carrer Aiguader 88, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gras-Miralles", 
        "givenName": "Beatriz", 
        "id": "sg:person.01134365401.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134365401.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Hospital del Mar d'Investigacions M\u00e8diques", 
          "id": "https://www.grid.ac/institutes/grid.20522.37", 
          "name": [
            "Neuro-Enteric Translational Science (NETS) Research Group, Institut Hospital del Mar d\u2019Investigacions M\u00e8diques (IMIM), Office 163.03 Carrer Aiguader 88, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Haya", 
        "givenName": "Jenny Rosario", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Servei de Cirurgia General, Institut de Recerca, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moros", 
        "givenName": "Jos\u00e9 Manuel Ramon", 
        "id": "sg:person.013735346400.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013735346400.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Endocrinology and Nutrition Unit, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Goday Arn\u00f3", 
        "givenName": "Albert", 
        "id": "sg:person.07534455622.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07534455622.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Hospital del Mar d'Investigacions M\u00e8diques", 
          "id": "https://www.grid.ac/institutes/grid.20522.37", 
          "name": [
            "Neuro-Enteric Translational Science (NETS) Research Group, Institut Hospital del Mar d\u2019Investigacions M\u00e8diques (IMIM), Office 163.03 Carrer Aiguader 88, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Torra Alsina", 
        "givenName": "Sandra", 
        "id": "sg:person.012765420041.62", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012765420041.62"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Servei de Digestiu, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ilzarbe S\u00e1nchez", 
        "givenName": "Lucas", 
        "id": "sg:person.015527102161.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015527102161.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Servei de Digestiu, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mu\u00f1oz Galit\u00f3", 
        "givenName": "Jordi", 
        "id": "sg:person.015753322041.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015753322041.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Servei de Digestiu, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ib\u00e1\u00f1ez Zaf\u00f3n", 
        "givenName": "In\u00e9s-Ana", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Servei de Digestiu, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alonso Romera", 
        "givenName": "M. Carmen", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Endocrinology and Nutrition Unit, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Parri Bonet", 
        "givenName": "Alejandra", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Servei de Digestiu, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bory Ros", 
        "givenName": "Felip", 
        "id": "sg:person.0627607640.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627607640.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hospital Del Mar", 
          "id": "https://www.grid.ac/institutes/grid.411142.3", 
          "name": [
            "Servei de Digestiu, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Andreu Garcia", 
        "givenName": "Montserrat", 
        "id": "sg:person.011015557600.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011015557600.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut Hospital del Mar d'Investigacions M\u00e8diques", 
          "id": "https://www.grid.ac/institutes/grid.20522.37", 
          "name": [
            "Servei de Digestiu, Hospital del Mar, Passeig Mar\u00edtim 25-29, 08003, Barcelona, Spain", 
            "Neuro-Enteric Translational Science (NETS) Research Group, Institut Hospital del Mar d\u2019Investigacions M\u00e8diques (IMIM), Office 163.03 Carrer Aiguader 88, 08003, Barcelona, Spain"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Delgado-Aros", 
        "givenName": "S\u00edlvia", 
        "id": "sg:person.0660231453.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660231453.13"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s1542-3565(05)00285-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004395858"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.mcna.2007.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005584293"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2006.10.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010313473"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1600-0447.1983.tb09716.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011377221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eat.1047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019038517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2036.2003.01670.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019166678"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0031-9384(01)00619-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020493604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11605-012-1855-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020549719", 
          "https://doi.org/10.1007/s11605-012-1855-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e31814a6929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020823719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e31814a6929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020823719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e31814a6929", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020823719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1046/j.1365-2982.2003.00422.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021613650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archsurg.138.5.541", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027179813"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0016-5085(12)60216-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027418306"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.292.14.1724", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029985089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.neuroscience.2012.02.030", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030737449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eat.20376", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034576253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11605-007-0427-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038184758", 
          "https://doi.org/10.1007/s11605-007-0427-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.physbeh.2010.04.032", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038745404"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0022-3999(00)00102-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042195342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ijo.2010.132", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043193435", 
          "https://doi.org/10.1038/ijo.2010.132"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpgi.00074.2004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049422959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2003.11.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051660209"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2004.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051821370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1207/s15327752jpa7403_11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052220444"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291700030762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053752126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0033291700030762", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053752126"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1152/ajpgi.2002.282.3.g424", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074997676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ajcn/56.4.656", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076295766"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: Instruments that enable to select individuals that will benefit most from bariatric surgery (BS) are necessary to increase its cost-efficiency. Our goal was to assess if intake capacity, measured with a standardized test, predicts response to BS.\nMETHODS: Patients with criteria for BS were randomly allocated to laparoscopic gastric bypass (LRYGB) or sleeve gastrectomy (LSG). We measured caloric intake capacity before and 1 year after surgery using a standardized nutrient drink test. We evaluated if pre-surgery satiation could predict satiation and weight loss (%) 1 year after surgery using multiple regression modeling. Descriptive statistics are given as mean \u00b1 SD.\nRESULTS: Fourteen women (48 \u00b1 9 years old, BMI 41 \u00b1 3 kg/m(2)) were evaluated before and 11 \u00b1 2.6 months after surgery (seven LRYGB, seven LSG). Caloric intake capacity diminished after surgery (-950 \u00b1 85 kcal on average [70 \u00b1 8 % decrease over basal intake capacity]; p=0.002) and similarly in both LRYGB (72\u2009\u00b1\u20097 % decrease) and LSG groups (68\u2009\u00b1\u20098 % decrease); p=0.5. There was a significant weight reduction after surgery (-32 \u00b1 10 kg [30 \u00b1 8 % of total basal weight]) with a mean post-surgery BMI of 29\u2009\u00b1\u20092 kg/m(2). The best predictive model of weight loss (%) after surgery (R (2)=89 %, p=0.0009) included: BMI (p=0.0004), surgery type (p=0.01) and pre-surgery intake capacity (p=0.006). Weight loss was higher in heavier patients and those undergoing LRYGB. Patients with higher intake capacity had a poorer outcome independently of basal BMI and surgery type.\nCONCLUSIONS: Caloric intake capacity, as measured by a standard nutrient drink test, helps to predict weight loss after bariatric surgery. This test might be useful in algorithms of obesity treatment decision.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11695-014-1306-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1101268", 
        "issn": [
          "0960-8923", 
          "1708-0428"
        ], 
        "name": "Obesity Surgery", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "Caloric Intake Capacity as Measured by a Standard Nutrient Drink Test Helps to Predict Weight Loss after Bariatric Surgery", 
    "pagination": "2138-2144", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "06b81c93128b4201600e0701b7ca0e08821d4ced8e4575618ab39e48f7d98c15"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24927691"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9106714"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11695-014-1306-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1001410518"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11695-014-1306-y", 
      "https://app.dimensions.ai/details/publication/pub.1001410518"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T21:38", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8687_00000519.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11695-014-1306-y"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s11695-014-1306-y'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11695-014-1306-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11695-014-1306-y'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11695-014-1306-y'


 

This table displays all metadata directly associated to this object as RDF triples.

288 TRIPLES      21 PREDICATES      68 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11695-014-1306-y schema:about N0774422e02e44c86af6891522057cca7
2 N18eac3a465e04401a14c2d2f4efb04b1
3 N2062bbbb59cf44e48f6864cb6c242ed4
4 N35f70ced88694356a0d575a0e957994a
5 N476b418b4ab24e5b842578a3d049d098
6 N5f4ffe1942fe4012b455de848114e81f
7 N67997d7bcd104978a9883749e65848e5
8 N68c841c66fae4b5485e4724585a42a96
9 N713289e9a48146358baed390279f97a1
10 N75329cdb2b304881ad3722e76721f17f
11 N860d042b88344ab59d5dd1c3179562be
12 Nc6846bc708e34d3fa7bfecaa9f7aa3c8
13 Nee26dffc4e044766889ada9f3a355991
14 anzsrc-for:11
15 anzsrc-for:1103
16 schema:author Nb73c74741d724b4db33f27d7a9e18a15
17 schema:citation sg:pub.10.1007/s11605-007-0427-1
18 sg:pub.10.1007/s11605-012-1855-0
19 sg:pub.10.1038/ijo.2010.132
20 https://doi.org/10.1001/archsurg.138.5.541
21 https://doi.org/10.1001/jama.292.14.1724
22 https://doi.org/10.1002/eat.1047
23 https://doi.org/10.1002/eat.20376
24 https://doi.org/10.1016/j.mcna.2007.01.001
25 https://doi.org/10.1016/j.neuroscience.2012.02.030
26 https://doi.org/10.1016/j.physbeh.2010.04.032
27 https://doi.org/10.1016/s0016-5085(12)60216-9
28 https://doi.org/10.1016/s0022-3999(00)00102-1
29 https://doi.org/10.1016/s0031-9384(01)00619-9
30 https://doi.org/10.1016/s1542-3565(05)00285-5
31 https://doi.org/10.1017/s0033291700030762
32 https://doi.org/10.1046/j.1365-2036.2003.01670.x
33 https://doi.org/10.1046/j.1365-2982.2003.00422.x
34 https://doi.org/10.1053/j.gastro.2003.11.007
35 https://doi.org/10.1053/j.gastro.2004.09.006
36 https://doi.org/10.1053/j.gastro.2006.10.025
37 https://doi.org/10.1093/ajcn/56.4.656
38 https://doi.org/10.1097/sla.0b013e31814a6929
39 https://doi.org/10.1111/j.1600-0447.1983.tb09716.x
40 https://doi.org/10.1152/ajpgi.00074.2004
41 https://doi.org/10.1152/ajpgi.2002.282.3.g424
42 https://doi.org/10.1207/s15327752jpa7403_11
43 schema:datePublished 2014-12
44 schema:datePublishedReg 2014-12-01
45 schema:description BACKGROUND: Instruments that enable to select individuals that will benefit most from bariatric surgery (BS) are necessary to increase its cost-efficiency. Our goal was to assess if intake capacity, measured with a standardized test, predicts response to BS. METHODS: Patients with criteria for BS were randomly allocated to laparoscopic gastric bypass (LRYGB) or sleeve gastrectomy (LSG). We measured caloric intake capacity before and 1 year after surgery using a standardized nutrient drink test. We evaluated if pre-surgery satiation could predict satiation and weight loss (%) 1 year after surgery using multiple regression modeling. Descriptive statistics are given as mean ± SD. RESULTS: Fourteen women (48 ± 9 years old, BMI 41 ± 3 kg/m(2)) were evaluated before and 11 ± 2.6 months after surgery (seven LRYGB, seven LSG). Caloric intake capacity diminished after surgery (-950 ± 85 kcal on average [70 ± 8 % decrease over basal intake capacity]; p=0.002) and similarly in both LRYGB (72 ± 7 % decrease) and LSG groups (68 ± 8 % decrease); p=0.5. There was a significant weight reduction after surgery (-32 ± 10 kg [30 ± 8 % of total basal weight]) with a mean post-surgery BMI of 29 ± 2 kg/m(2). The best predictive model of weight loss (%) after surgery (R (2)=89 %, p=0.0009) included: BMI (p=0.0004), surgery type (p=0.01) and pre-surgery intake capacity (p=0.006). Weight loss was higher in heavier patients and those undergoing LRYGB. Patients with higher intake capacity had a poorer outcome independently of basal BMI and surgery type. CONCLUSIONS: Caloric intake capacity, as measured by a standard nutrient drink test, helps to predict weight loss after bariatric surgery. This test might be useful in algorithms of obesity treatment decision.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf Na3cfba8bb91c438abdceed06d509f1db
50 Nbef3bb44f5aa475aae9fc998b9c05fb7
51 sg:journal.1101268
52 schema:name Caloric Intake Capacity as Measured by a Standard Nutrient Drink Test Helps to Predict Weight Loss after Bariatric Surgery
53 schema:pagination 2138-2144
54 schema:productId N16babfac1fb44e16ad22cd58422922f6
55 N2735a9ea421640ec9460f44865946288
56 N3b040593fb2b442896761715dab0c221
57 N468252583c0f4de3a8f7f4a988f160a1
58 Nda56339ed4da43898d6c3d50d2f613bb
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001410518
60 https://doi.org/10.1007/s11695-014-1306-y
61 schema:sdDatePublished 2019-04-10T21:38
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N71b3034219ec4a979bb2996b0a0aeafb
64 schema:url http://link.springer.com/10.1007%2Fs11695-014-1306-y
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N0774422e02e44c86af6891522057cca7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Female
70 rdf:type schema:DefinedTerm
71 N0b618a3fff4f465eab0308ebc89eb887 rdf:first sg:person.011015557600.41
72 rdf:rest Nfa528f4bacb94e6b92d6239dd760edbc
73 N16babfac1fb44e16ad22cd58422922f6 schema:name dimensions_id
74 schema:value pub.1001410518
75 rdf:type schema:PropertyValue
76 N18eac3a465e04401a14c2d2f4efb04b1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Predictive Value of Tests
78 rdf:type schema:DefinedTerm
79 N2062bbbb59cf44e48f6864cb6c242ed4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Humans
81 rdf:type schema:DefinedTerm
82 N2735a9ea421640ec9460f44865946288 schema:name pubmed_id
83 schema:value 24927691
84 rdf:type schema:PropertyValue
85 N35f70ced88694356a0d575a0e957994a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Weight Loss
87 rdf:type schema:DefinedTerm
88 N3b040593fb2b442896761715dab0c221 schema:name doi
89 schema:value 10.1007/s11695-014-1306-y
90 rdf:type schema:PropertyValue
91 N468252583c0f4de3a8f7f4a988f160a1 schema:name readcube_id
92 schema:value 06b81c93128b4201600e0701b7ca0e08821d4ced8e4575618ab39e48f7d98c15
93 rdf:type schema:PropertyValue
94 N476b418b4ab24e5b842578a3d049d098 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Energy Intake
96 rdf:type schema:DefinedTerm
97 N5e29c0b9ea8f4ef1bdf5147561ff1495 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
98 schema:familyName Alonso Romera
99 schema:givenName M. Carmen
100 rdf:type schema:Person
101 N5f4ffe1942fe4012b455de848114e81f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Obesity, Morbid
103 rdf:type schema:DefinedTerm
104 N67997d7bcd104978a9883749e65848e5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Middle Aged
106 rdf:type schema:DefinedTerm
107 N68c841c66fae4b5485e4724585a42a96 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Laparoscopy
109 rdf:type schema:DefinedTerm
110 N713289e9a48146358baed390279f97a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Male
112 rdf:type schema:DefinedTerm
113 N71b3034219ec4a979bb2996b0a0aeafb schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N73647d82e10f446c9bb0a8e40a60e47f rdf:first sg:person.012765420041.62
116 rdf:rest N8b68d52abf054473abea809e4e2edd0d
117 N75329cdb2b304881ad3722e76721f17f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Treatment Outcome
119 rdf:type schema:DefinedTerm
120 N860d042b88344ab59d5dd1c3179562be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Bariatric Surgery
122 rdf:type schema:DefinedTerm
123 N8b68d52abf054473abea809e4e2edd0d rdf:first sg:person.015527102161.45
124 rdf:rest N9624a42f58a34f549d7dcada74d8c541
125 N901fb60e57f94b18907ef266d044b2ad schema:affiliation https://www.grid.ac/institutes/grid.20522.37
126 schema:familyName Haya
127 schema:givenName Jenny Rosario
128 rdf:type schema:Person
129 N914b6ebe246845aaa5a18f41628b8b90 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
130 schema:familyName Ibáñez Zafón
131 schema:givenName Inés-Ana
132 rdf:type schema:Person
133 N9624a42f58a34f549d7dcada74d8c541 rdf:first sg:person.015753322041.55
134 rdf:rest Nec16a309e3ca4f65878228439af31590
135 N96c7bfdc13454d61aac362859fbaaea3 rdf:first Ne0a75cd2fa1a411a898ca93a4317d0f6
136 rdf:rest Nbac2f4be46ce4348bb3bb2b39b35c0e8
137 Na1aacc0600e3450fa49d9d72ff576767 rdf:first N5e29c0b9ea8f4ef1bdf5147561ff1495
138 rdf:rest N96c7bfdc13454d61aac362859fbaaea3
139 Na3cfba8bb91c438abdceed06d509f1db schema:issueNumber 12
140 rdf:type schema:PublicationIssue
141 Nb3198b9292164fc2ae902dc6e80ad58a rdf:first N901fb60e57f94b18907ef266d044b2ad
142 rdf:rest Nbaf9b93549e34fa5b993da23d1284dba
143 Nb73c74741d724b4db33f27d7a9e18a15 rdf:first sg:person.01134365401.69
144 rdf:rest Nb3198b9292164fc2ae902dc6e80ad58a
145 Nbac2f4be46ce4348bb3bb2b39b35c0e8 rdf:first sg:person.0627607640.73
146 rdf:rest N0b618a3fff4f465eab0308ebc89eb887
147 Nbaf9b93549e34fa5b993da23d1284dba rdf:first sg:person.013735346400.49
148 rdf:rest Nc4e9f7d044164444baefc39dbd3c1fd4
149 Nbef3bb44f5aa475aae9fc998b9c05fb7 schema:volumeNumber 24
150 rdf:type schema:PublicationVolume
151 Nc4e9f7d044164444baefc39dbd3c1fd4 rdf:first sg:person.07534455622.83
152 rdf:rest N73647d82e10f446c9bb0a8e40a60e47f
153 Nc6846bc708e34d3fa7bfecaa9f7aa3c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Feeding Behavior
155 rdf:type schema:DefinedTerm
156 Nda56339ed4da43898d6c3d50d2f613bb schema:name nlm_unique_id
157 schema:value 9106714
158 rdf:type schema:PropertyValue
159 Ne0a75cd2fa1a411a898ca93a4317d0f6 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
160 schema:familyName Parri Bonet
161 schema:givenName Alejandra
162 rdf:type schema:Person
163 Nec16a309e3ca4f65878228439af31590 rdf:first N914b6ebe246845aaa5a18f41628b8b90
164 rdf:rest Na1aacc0600e3450fa49d9d72ff576767
165 Nee26dffc4e044766889ada9f3a355991 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
166 schema:name Adult
167 rdf:type schema:DefinedTerm
168 Nfa528f4bacb94e6b92d6239dd760edbc rdf:first sg:person.0660231453.13
169 rdf:rest rdf:nil
170 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
171 schema:name Medical and Health Sciences
172 rdf:type schema:DefinedTerm
173 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
174 schema:name Clinical Sciences
175 rdf:type schema:DefinedTerm
176 sg:journal.1101268 schema:issn 0960-8923
177 1708-0428
178 schema:name Obesity Surgery
179 rdf:type schema:Periodical
180 sg:person.011015557600.41 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
181 schema:familyName Andreu Garcia
182 schema:givenName Montserrat
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011015557600.41
184 rdf:type schema:Person
185 sg:person.01134365401.69 schema:affiliation https://www.grid.ac/institutes/grid.20522.37
186 schema:familyName Gras-Miralles
187 schema:givenName Beatriz
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134365401.69
189 rdf:type schema:Person
190 sg:person.012765420041.62 schema:affiliation https://www.grid.ac/institutes/grid.20522.37
191 schema:familyName Torra Alsina
192 schema:givenName Sandra
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012765420041.62
194 rdf:type schema:Person
195 sg:person.013735346400.49 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
196 schema:familyName Moros
197 schema:givenName José Manuel Ramon
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013735346400.49
199 rdf:type schema:Person
200 sg:person.015527102161.45 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
201 schema:familyName Ilzarbe Sánchez
202 schema:givenName Lucas
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015527102161.45
204 rdf:type schema:Person
205 sg:person.015753322041.55 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
206 schema:familyName Muñoz Galitó
207 schema:givenName Jordi
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015753322041.55
209 rdf:type schema:Person
210 sg:person.0627607640.73 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
211 schema:familyName Bory Ros
212 schema:givenName Felip
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0627607640.73
214 rdf:type schema:Person
215 sg:person.0660231453.13 schema:affiliation https://www.grid.ac/institutes/grid.20522.37
216 schema:familyName Delgado-Aros
217 schema:givenName Sílvia
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660231453.13
219 rdf:type schema:Person
220 sg:person.07534455622.83 schema:affiliation https://www.grid.ac/institutes/grid.411142.3
221 schema:familyName Goday Arnó
222 schema:givenName Albert
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07534455622.83
224 rdf:type schema:Person
225 sg:pub.10.1007/s11605-007-0427-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038184758
226 https://doi.org/10.1007/s11605-007-0427-1
227 rdf:type schema:CreativeWork
228 sg:pub.10.1007/s11605-012-1855-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020549719
229 https://doi.org/10.1007/s11605-012-1855-0
230 rdf:type schema:CreativeWork
231 sg:pub.10.1038/ijo.2010.132 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043193435
232 https://doi.org/10.1038/ijo.2010.132
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1001/archsurg.138.5.541 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027179813
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1001/jama.292.14.1724 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029985089
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1002/eat.1047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019038517
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1002/eat.20376 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034576253
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1016/j.mcna.2007.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005584293
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1016/j.neuroscience.2012.02.030 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030737449
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1016/j.physbeh.2010.04.032 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038745404
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1016/s0016-5085(12)60216-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027418306
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1016/s0022-3999(00)00102-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042195342
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1016/s0031-9384(01)00619-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020493604
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1016/s1542-3565(05)00285-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004395858
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1017/s0033291700030762 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053752126
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1046/j.1365-2036.2003.01670.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1019166678
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1046/j.1365-2982.2003.00422.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1021613650
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1053/j.gastro.2003.11.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051660209
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1053/j.gastro.2004.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051821370
265 rdf:type schema:CreativeWork
266 https://doi.org/10.1053/j.gastro.2006.10.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010313473
267 rdf:type schema:CreativeWork
268 https://doi.org/10.1093/ajcn/56.4.656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076295766
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1097/sla.0b013e31814a6929 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020823719
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1111/j.1600-0447.1983.tb09716.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011377221
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1152/ajpgi.00074.2004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049422959
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1152/ajpgi.2002.282.3.g424 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074997676
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1207/s15327752jpa7403_11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052220444
279 rdf:type schema:CreativeWork
280 https://www.grid.ac/institutes/grid.20522.37 schema:alternateName Institut Hospital del Mar d'Investigacions Mèdiques
281 schema:name Neuro-Enteric Translational Science (NETS) Research Group, Institut Hospital del Mar d’Investigacions Mèdiques (IMIM), Office 163.03 Carrer Aiguader 88, 08003, Barcelona, Spain
282 Servei de Digestiu, Hospital del Mar, Passeig Marítim 25-29, 08003, Barcelona, Spain
283 rdf:type schema:Organization
284 https://www.grid.ac/institutes/grid.411142.3 schema:alternateName Hospital Del Mar
285 schema:name Endocrinology and Nutrition Unit, Hospital del Mar, Passeig Marítim 25-29, 08003, Barcelona, Spain
286 Servei de Cirurgia General, Institut de Recerca, Hospital del Mar, Passeig Marítim 25-29, 08003, Barcelona, Spain
287 Servei de Digestiu, Hospital del Mar, Passeig Marítim 25-29, 08003, Barcelona, Spain
288 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...