Favorable surgical outcomes of aldosterone-producing adenoma based on lateralization by CT imaging and hypokalemia: a non-AVS-based strategy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-12

AUTHORS

Hai Li, Jianbin Liu, Xiujuan Feng, Liehua Liu, Guohong Wei, Xiaopei Cao, Yanbing Li

ABSTRACT

PURPOSE: To test the efficacy of a strategy based on CT imaging and clinical characteristics on lateralizing origin of excess aldosterone secretion in primary aldosteronism. PATIENTS AND METHODS: Consecutive patients with diagnosed primary hyperaldosteronism from June 2006 to July 2012 in our center underwent adrenal surgeries without pre-operational adrenal venous sampling (AVS) if all the three criteria were met: (1) round- or oval-shaped occupational lesion of low density after contrast enhancement with diameter >1 cm on CT scan was located in one adrenal gland; (2) unequivocally normal contralateral adrenal gland; (3) serum potassium level lower than 3.5 mmol/L. Subjects who had received operation were taken into analysis and follow-ups. RESULTS: One hundred and twenty-five patients fulfilled the criteria and were recruited into our research. One hundred and twenty-two operated patients (97.6%) experienced complete resolution of hypokalemia as well as resolution or improvement in hypertension with reduction in antihypertensive medication, while 3 patients (2.4%) failed to obtain normal kalemia and continued on spironolactone therapy. At a median of 65-month (range 21-93) follow-up of these 122 subjects, 27 patients dropped out (22.1%). The 95 responding patients reported no episodes of paralysis or confirmed hypokalemia or any supplementation of potassium. Multivariate linear correlation analysis showed that plasma potassium level was correlated inversely with tumor diameter (r = -0.258, 95% CI -0.076, -0.514, p = 0.037) and basal plasma aldosterone level (r = -0.251, 95% CI -0.040, -0.464, p = 0.042). CONCLUSIONS: Most patients with typical unilateral adrenal macroadenomas, normal contralateral glands and hypokalemia could attain favorable surgical therapeutic outcomes without pre-operational AVS lateralization. More... »

PAGES

2151-2156

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11255-017-1705-9

DOI

http://dx.doi.org/10.1007/s11255-017-1705-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091817421

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28918446


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": "Adenoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adrenal Gland Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aldosterone", 
        "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": "Hyperaldosteronism", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hypertension", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hypokalemia", 
        "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": "Potassium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tumor Burden", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Sun Yat-sen University", 
          "id": "https://www.grid.ac/institutes/grid.412615.5", 
          "name": [
            "Endocrinology Department, The First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road, 58th, 510080, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Hai", 
        "id": "sg:person.01030565521.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030565521.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Centre for Eye Research Australia", 
          "id": "https://www.grid.ac/institutes/grid.418002.f", 
          "name": [
            "Centre for Eye Research Australia, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, 3002, East Melbourne, Australia", 
            "Boxhill Hospital Eastern Health VIC, 3128, Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Jianbin", 
        "id": "sg:person.0714337121.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714337121.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Endocrinology Department, The People\u2019s Hospital of Taishan City, 529200, Jiangmen, Guangdong, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Feng", 
        "givenName": "Xiujuan", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Sun Yat-sen University", 
          "id": "https://www.grid.ac/institutes/grid.412615.5", 
          "name": [
            "Endocrinology Department, The First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road, 58th, 510080, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Liehua", 
        "id": "sg:person.0677712531.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677712531.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Sun Yat-sen University", 
          "id": "https://www.grid.ac/institutes/grid.412615.5", 
          "name": [
            "Endocrinology Department, The First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road, 58th, 510080, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wei", 
        "givenName": "Guohong", 
        "id": "sg:person.0762452321.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762452321.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Sun Yat-sen University", 
          "id": "https://www.grid.ac/institutes/grid.412615.5", 
          "name": [
            "Endocrinology Department, The First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road, 58th, 510080, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cao", 
        "givenName": "Xiaopei", 
        "id": "sg:person.0611114454.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611114454.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "First Affiliated Hospital of Sun Yat-sen University", 
          "id": "https://www.grid.ac/institutes/grid.412615.5", 
          "name": [
            "Endocrinology Department, The First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road, 58th, 510080, Guangzhou, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Yanbing", 
        "id": "sg:person.01205614450.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205614450.11"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jvir.2007.08.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000815914"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surg.2004.06.051", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009960853"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1507/endocrj.ej11-0133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012260574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-005-0622-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021564760", 
          "https://doi.org/10.1007/s00268-005-0622-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-005-0622-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021564760", 
          "https://doi.org/10.1007/s00268-005-0622-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-014-2461-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022108010", 
          "https://doi.org/10.1007/s00268-014-2461-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2015-4061", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023997482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1472-6823-14-94", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029368047", 
          "https://doi.org/10.1186/1472-6823-14-94"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/cen.12374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035413572"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-014-2694-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052739686", 
          "https://doi.org/10.1007/s00268-014-2694-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2007-2055", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064290281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2008-0104", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064290521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2011-2830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064293215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2012-1917", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064293600"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1210/jc.2013-3789", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064294760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-151-5-200909010-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073711003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2017.01.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084527356"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s2213-8587(17)30135-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085726280"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-12", 
    "datePublishedReg": "2017-12-01", 
    "description": "PURPOSE: To test the efficacy of a strategy based on CT imaging and clinical characteristics on lateralizing origin of excess aldosterone secretion in primary aldosteronism.\nPATIENTS AND METHODS: Consecutive patients with diagnosed primary hyperaldosteronism from June 2006 to July 2012 in our center underwent adrenal surgeries without pre-operational adrenal venous sampling (AVS) if all the three criteria were met: (1) round- or oval-shaped occupational lesion of low density after contrast enhancement with diameter >1\u00a0cm on CT scan was located in one adrenal gland; (2) unequivocally normal contralateral adrenal gland; (3) serum potassium level lower than 3.5\u00a0mmol/L. Subjects who had received operation were taken into analysis and follow-ups.\nRESULTS: One hundred and twenty-five patients fulfilled the criteria and were recruited into our research. One hundred and twenty-two operated patients (97.6%) experienced complete resolution of hypokalemia as well as resolution or improvement in hypertension with reduction in antihypertensive medication, while 3 patients (2.4%) failed to obtain normal kalemia and continued on spironolactone therapy. At a median of 65-month (range 21-93) follow-up of these 122 subjects, 27 patients dropped out (22.1%). The 95 responding patients reported no episodes of paralysis or confirmed hypokalemia or any supplementation of potassium. Multivariate linear correlation analysis showed that plasma potassium level was correlated inversely with tumor diameter (r\u00a0=\u00a0-0.258, 95% CI -0.076, -0.514, p\u00a0=\u00a00.037) and basal plasma aldosterone level (r\u00a0=\u00a0-0.251, 95% CI -0.040, -0.464, p\u00a0=\u00a00.042).\nCONCLUSIONS: Most patients with typical unilateral adrenal macroadenomas, normal contralateral glands and hypokalemia could attain favorable surgical therapeutic outcomes without pre-operational AVS lateralization.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11255-017-1705-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1014320", 
        "issn": [
          "0924-8455", 
          "1573-7306"
        ], 
        "name": "Geriatric Nephrology and Urology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "49"
      }
    ], 
    "name": "Favorable surgical outcomes of aldosterone-producing adenoma based on lateralization by CT imaging and hypokalemia: a non-AVS-based strategy", 
    "pagination": "2151-2156", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "df0cb4badc581a3bf58647f3383acb072a79c86c688bcc3005ea1f183236c840"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28918446"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0262521"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11255-017-1705-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1091817421"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11255-017-1705-9", 
      "https://app.dimensions.ai/details/publication/pub.1091817421"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T13:21", 
    "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_8659_00000525.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs11255-017-1705-9"
  }
]
 

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/s11255-017-1705-9'

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/s11255-017-1705-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11255-017-1705-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11255-017-1705-9'


 

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

231 TRIPLES      21 PREDICATES      61 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11255-017-1705-9 schema:about N0e1e812705714d22a80f1fd68bd93e13
2 N19535c47b05b4afba9270a3fad888c77
3 N39e71eafe2304f20a6b9d9b98c89b9f3
4 N3f89c44c71f54550963e2fe66b17eced
5 N40dceac4202446d1baedb2f946c8423c
6 N520867d4719e4da58c9b03c65b86e7ee
7 N63ac19ec14f14dde920e529de270ef16
8 N642d0097efe4407e821a65c71e4b314d
9 N80348dcfd4d6495bacc7e98bb139ee73
10 N90f5328b83e14269b859eb7d12dc4a5f
11 N9dda6e52661d4f86a3f33dc98dcf9441
12 Na307f9575734437abecb85f87b14814f
13 Nb8b5d083f7424a47a9a75fefba2b6f64
14 Nc6747ea44bbf48f8bb1631533487c725
15 Nce73be7ec281411091005b6bc8e8511d
16 anzsrc-for:11
17 anzsrc-for:1103
18 schema:author Nd84d40bfe9544cfc93557ee3ede54e87
19 schema:citation sg:pub.10.1007/s00268-005-0622-8
20 sg:pub.10.1007/s00268-014-2461-y
21 sg:pub.10.1007/s00268-014-2694-9
22 sg:pub.10.1186/1472-6823-14-94
23 https://doi.org/10.1016/j.jacc.2017.01.052
24 https://doi.org/10.1016/j.jvir.2007.08.022
25 https://doi.org/10.1016/j.surg.2004.06.051
26 https://doi.org/10.1016/s2213-8587(17)30135-3
27 https://doi.org/10.1111/cen.12374
28 https://doi.org/10.1210/jc.2007-2055
29 https://doi.org/10.1210/jc.2008-0104
30 https://doi.org/10.1210/jc.2011-2830
31 https://doi.org/10.1210/jc.2012-1917
32 https://doi.org/10.1210/jc.2013-3789
33 https://doi.org/10.1210/jc.2015-4061
34 https://doi.org/10.1507/endocrj.ej11-0133
35 https://doi.org/10.7326/0003-4819-151-5-200909010-00007
36 schema:datePublished 2017-12
37 schema:datePublishedReg 2017-12-01
38 schema:description PURPOSE: To test the efficacy of a strategy based on CT imaging and clinical characteristics on lateralizing origin of excess aldosterone secretion in primary aldosteronism. PATIENTS AND METHODS: Consecutive patients with diagnosed primary hyperaldosteronism from June 2006 to July 2012 in our center underwent adrenal surgeries without pre-operational adrenal venous sampling (AVS) if all the three criteria were met: (1) round- or oval-shaped occupational lesion of low density after contrast enhancement with diameter >1 cm on CT scan was located in one adrenal gland; (2) unequivocally normal contralateral adrenal gland; (3) serum potassium level lower than 3.5 mmol/L. Subjects who had received operation were taken into analysis and follow-ups. RESULTS: One hundred and twenty-five patients fulfilled the criteria and were recruited into our research. One hundred and twenty-two operated patients (97.6%) experienced complete resolution of hypokalemia as well as resolution or improvement in hypertension with reduction in antihypertensive medication, while 3 patients (2.4%) failed to obtain normal kalemia and continued on spironolactone therapy. At a median of 65-month (range 21-93) follow-up of these 122 subjects, 27 patients dropped out (22.1%). The 95 responding patients reported no episodes of paralysis or confirmed hypokalemia or any supplementation of potassium. Multivariate linear correlation analysis showed that plasma potassium level was correlated inversely with tumor diameter (r = -0.258, 95% CI -0.076, -0.514, p = 0.037) and basal plasma aldosterone level (r = -0.251, 95% CI -0.040, -0.464, p = 0.042). CONCLUSIONS: Most patients with typical unilateral adrenal macroadenomas, normal contralateral glands and hypokalemia could attain favorable surgical therapeutic outcomes without pre-operational AVS lateralization.
39 schema:genre research_article
40 schema:inLanguage en
41 schema:isAccessibleForFree false
42 schema:isPartOf N0e731d33991f40148b07dd3dfe0de910
43 Na0e52f1fe0104aa5965e4e47f61ff370
44 sg:journal.1014320
45 schema:name Favorable surgical outcomes of aldosterone-producing adenoma based on lateralization by CT imaging and hypokalemia: a non-AVS-based strategy
46 schema:pagination 2151-2156
47 schema:productId N05c86dc417734370909303a3a3d3d202
48 N6d9eacf6e35943ea8d33110c6ac61e50
49 N9f041bd4befb4ef1815edb7112872c61
50 Ne59b05c734144960bccdce705f4bff6d
51 Nebd92f17c8a049a5b3fc317acde0010c
52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091817421
53 https://doi.org/10.1007/s11255-017-1705-9
54 schema:sdDatePublished 2019-04-10T13:21
55 schema:sdLicense https://scigraph.springernature.com/explorer/license/
56 schema:sdPublisher N797863c5071b4101a2f53fa8791ddb94
57 schema:url http://link.springer.com/10.1007%2Fs11255-017-1705-9
58 sgo:license sg:explorer/license/
59 sgo:sdDataset articles
60 rdf:type schema:ScholarlyArticle
61 N05c86dc417734370909303a3a3d3d202 schema:name readcube_id
62 schema:value df0cb4badc581a3bf58647f3383acb072a79c86c688bcc3005ea1f183236c840
63 rdf:type schema:PropertyValue
64 N0cac6c76671846009ecba869ca67ac6f rdf:first sg:person.0677712531.83
65 rdf:rest N8d05feb12da443be8e777c4b409371a9
66 N0e1e812705714d22a80f1fd68bd93e13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
67 schema:name Hypertension
68 rdf:type schema:DefinedTerm
69 N0e731d33991f40148b07dd3dfe0de910 schema:volumeNumber 49
70 rdf:type schema:PublicationVolume
71 N19535c47b05b4afba9270a3fad888c77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Hypokalemia
73 rdf:type schema:DefinedTerm
74 N39e71eafe2304f20a6b9d9b98c89b9f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Adult
76 rdf:type schema:DefinedTerm
77 N3f89c44c71f54550963e2fe66b17eced schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Male
79 rdf:type schema:DefinedTerm
80 N40dceac4202446d1baedb2f946c8423c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Humans
82 rdf:type schema:DefinedTerm
83 N520867d4719e4da58c9b03c65b86e7ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Hyperaldosteronism
85 rdf:type schema:DefinedTerm
86 N63ac19ec14f14dde920e529de270ef16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Middle Aged
88 rdf:type schema:DefinedTerm
89 N642d0097efe4407e821a65c71e4b314d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Potassium
91 rdf:type schema:DefinedTerm
92 N6d6c0a4a927d4a5d8f236e00e9de968d rdf:first sg:person.0611114454.78
93 rdf:rest Naf607b1440c746258164494162bba8c5
94 N6d9eacf6e35943ea8d33110c6ac61e50 schema:name doi
95 schema:value 10.1007/s11255-017-1705-9
96 rdf:type schema:PropertyValue
97 N797863c5071b4101a2f53fa8791ddb94 schema:name Springer Nature - SN SciGraph project
98 rdf:type schema:Organization
99 N80348dcfd4d6495bacc7e98bb139ee73 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Tumor Burden
101 rdf:type schema:DefinedTerm
102 N8ab83e8835a04ae69759e6c55f49683a schema:name Endocrinology Department, The People’s Hospital of Taishan City, 529200, Jiangmen, Guangdong, China
103 rdf:type schema:Organization
104 N8d05feb12da443be8e777c4b409371a9 rdf:first sg:person.0762452321.04
105 rdf:rest N6d6c0a4a927d4a5d8f236e00e9de968d
106 N90f5328b83e14269b859eb7d12dc4a5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Adrenal Gland Neoplasms
108 rdf:type schema:DefinedTerm
109 N9dda6e52661d4f86a3f33dc98dcf9441 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Tomography, X-Ray Computed
111 rdf:type schema:DefinedTerm
112 N9f041bd4befb4ef1815edb7112872c61 schema:name nlm_unique_id
113 schema:value 0262521
114 rdf:type schema:PropertyValue
115 Na0e52f1fe0104aa5965e4e47f61ff370 schema:issueNumber 12
116 rdf:type schema:PublicationIssue
117 Na307f9575734437abecb85f87b14814f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Treatment Outcome
119 rdf:type schema:DefinedTerm
120 Naf607b1440c746258164494162bba8c5 rdf:first sg:person.01205614450.11
121 rdf:rest rdf:nil
122 Nb8b5d083f7424a47a9a75fefba2b6f64 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Aldosterone
124 rdf:type schema:DefinedTerm
125 Nc6747ea44bbf48f8bb1631533487c725 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Female
127 rdf:type schema:DefinedTerm
128 Nce73be7ec281411091005b6bc8e8511d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Adenoma
130 rdf:type schema:DefinedTerm
131 Nd84d40bfe9544cfc93557ee3ede54e87 rdf:first sg:person.01030565521.87
132 rdf:rest Nfb694d8b28f544f1b6b7f39f8c08424a
133 Nd8f90185d4494d68868a5fa4ae73b67b schema:affiliation N8ab83e8835a04ae69759e6c55f49683a
134 schema:familyName Feng
135 schema:givenName Xiujuan
136 rdf:type schema:Person
137 Ndb9e592103fe4de2805f9fdf65d74eae rdf:first Nd8f90185d4494d68868a5fa4ae73b67b
138 rdf:rest N0cac6c76671846009ecba869ca67ac6f
139 Ne59b05c734144960bccdce705f4bff6d schema:name pubmed_id
140 schema:value 28918446
141 rdf:type schema:PropertyValue
142 Nebd92f17c8a049a5b3fc317acde0010c schema:name dimensions_id
143 schema:value pub.1091817421
144 rdf:type schema:PropertyValue
145 Nfb694d8b28f544f1b6b7f39f8c08424a rdf:first sg:person.0714337121.12
146 rdf:rest Ndb9e592103fe4de2805f9fdf65d74eae
147 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
148 schema:name Medical and Health Sciences
149 rdf:type schema:DefinedTerm
150 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
151 schema:name Clinical Sciences
152 rdf:type schema:DefinedTerm
153 sg:journal.1014320 schema:issn 0924-8455
154 1573-7306
155 schema:name Geriatric Nephrology and Urology
156 rdf:type schema:Periodical
157 sg:person.01030565521.87 schema:affiliation https://www.grid.ac/institutes/grid.412615.5
158 schema:familyName Li
159 schema:givenName Hai
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01030565521.87
161 rdf:type schema:Person
162 sg:person.01205614450.11 schema:affiliation https://www.grid.ac/institutes/grid.412615.5
163 schema:familyName Li
164 schema:givenName Yanbing
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01205614450.11
166 rdf:type schema:Person
167 sg:person.0611114454.78 schema:affiliation https://www.grid.ac/institutes/grid.412615.5
168 schema:familyName Cao
169 schema:givenName Xiaopei
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611114454.78
171 rdf:type schema:Person
172 sg:person.0677712531.83 schema:affiliation https://www.grid.ac/institutes/grid.412615.5
173 schema:familyName Liu
174 schema:givenName Liehua
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677712531.83
176 rdf:type schema:Person
177 sg:person.0714337121.12 schema:affiliation https://www.grid.ac/institutes/grid.418002.f
178 schema:familyName Liu
179 schema:givenName Jianbin
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714337121.12
181 rdf:type schema:Person
182 sg:person.0762452321.04 schema:affiliation https://www.grid.ac/institutes/grid.412615.5
183 schema:familyName Wei
184 schema:givenName Guohong
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762452321.04
186 rdf:type schema:Person
187 sg:pub.10.1007/s00268-005-0622-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021564760
188 https://doi.org/10.1007/s00268-005-0622-8
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s00268-014-2461-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1022108010
191 https://doi.org/10.1007/s00268-014-2461-y
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s00268-014-2694-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052739686
194 https://doi.org/10.1007/s00268-014-2694-9
195 rdf:type schema:CreativeWork
196 sg:pub.10.1186/1472-6823-14-94 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029368047
197 https://doi.org/10.1186/1472-6823-14-94
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1016/j.jacc.2017.01.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084527356
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.jvir.2007.08.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000815914
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/j.surg.2004.06.051 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009960853
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1016/s2213-8587(17)30135-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085726280
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1111/cen.12374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035413572
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1210/jc.2007-2055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064290281
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1210/jc.2008-0104 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064290521
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1210/jc.2011-2830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064293215
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1210/jc.2012-1917 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064293600
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1210/jc.2013-3789 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064294760
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1210/jc.2015-4061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023997482
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1507/endocrj.ej11-0133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012260574
222 rdf:type schema:CreativeWork
223 https://doi.org/10.7326/0003-4819-151-5-200909010-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073711003
224 rdf:type schema:CreativeWork
225 https://www.grid.ac/institutes/grid.412615.5 schema:alternateName First Affiliated Hospital of Sun Yat-sen University
226 schema:name Endocrinology Department, The First Affiliated Hospital of Sun Yat-sen University, Zhongshan Er Road, 58th, 510080, Guangzhou, China
227 rdf:type schema:Organization
228 https://www.grid.ac/institutes/grid.418002.f schema:alternateName Centre for Eye Research Australia
229 schema:name Boxhill Hospital Eastern Health VIC, 3128, Melbourne, Australia
230 Centre for Eye Research Australia, Faculty of Medicine, Dentistry and Health Science, The University of Melbourne, 3002, East Melbourne, Australia
231 rdf:type schema:Organization
 




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


...