List publications.

Fields

id (integer)

Primary key.

name (string)

Name of doctoral school.

emails (string[])

Contact emails.

Expansions

To activate relation expansion add the desired fields as a comma separated list to the expand query parameter like this:

?expand=<field>,<field>,<field>,...

The following relational fields can be expanded:

  • persons
  • category
  • document
  • organization_authorship

Filters

To filter for exact value matches:

?<fieldname>=<value>

Possible exact filters:

  • year
  • category
  • document
  • persons

For advanced filtering use lookups:

?<fieldname>__<lookup>=<value>

All fields with advanced lookups can also be used for exact value matches as described above.

Possible advanced lookups:

  • year: gt, gte, lt, lte
  • sci: iexact, contains, icontains, startswith, istartswith
  • pubmed: iexact, contains, icontains, startswith, istartswith
  • doi: iexact, contains, icontains, startswith, istartswith
  • pmc: iexact, contains, icontains, startswith, istartswith
  • organization_authorship: in
  • impact: isnull, gt, gte, lt, lte
  • imported: isnull, gt, gte, lt, lte, date
GET /v1/research/publication/?format=api&offset=152860&ordering=year
HTTP 200 OK
  Allow: GET, HEAD, OPTIONS
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  Vary: Accept
  
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            "id": 216880,
            "title": "HPV infection of endocervical reserve cells is underestimated in the natural history of cervical cancer.",
            "abstract": null,
            "authors": [
                "Reich, O",
                "Regauer, S"
            ],
            "year": 2025,
            "source": "Am J Obstet Gynecol. 2025; ",
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            "title": "Correction to: Safety and Effectiveness of Glargine 300 U/ml After Switching from Basal Insulins in Patients with Type 1 Diabetes: COMET-T Study.",
            "abstract": null,
            "authors": [
                "Gölz, S",
                "Mader, JK",
                "Bilz, S",
                "Kenzler, J",
                "Danne, T"
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            "year": 2025,
            "source": "Diabetes Ther. 2025; 16(9):1887-1891",
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            "doi": "10.1007/s13300-025-01771-2",
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            "title": "Pediatric Septoplasty: Benefits, Challenges, and Clinical Recommendations-Comprehensive Review of Young ESPO",
            "abstract": null,
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                "Zielinski, J",
                "Costa, S",
                "Cherkes, M",
                "Glibbery, N",
                "Kovács, P",
                "Mitrea-Sireteanu, L",
                "Ciller, M",
                "Topcuoglu, MSY"
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            "source": "J CLIN MED. 2025; 14(15): 5537",
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            "id": 217524,
            "title": "Correction: Postoperative management of pediatric tympanostomy tubes: a Yo-IFOS consensus.",
            "abstract": null,
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                "Poel, NV",
                "Saibene, AM",
                "Simon, F",
                "Lechien, JR",
                "Al-Barazi, R",
                "Alkhateeb, A",
                "Araújo, JX",
                "Barillari, MR",
                "Bartel, R",
                "Cherkes, MB",
                "Cushing, S",
                "Gargula, S",
                "Iannella, G",
                "Jenks, CM",
                "Marom, T",
                "Mat, Q",
                "Mercier, E",
                "Moreddu, E",
                "Parisi, F",
                "Peer, S",
                "Saniasiaya, J",
                "Teissier, N",
                "Rompaey, VV",
                "Maniaci, A"
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            "source": "Eur Arch Otorhinolaryngol. 2025; ",
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        {
            "id": 215423,
            "title": "Zöliakie im Kindes- und Jugendalter",
            "abstract": "Einleitung: Zöliakie ist eine chronisch autoimmun entzündliche Erkrankung des Dünndarms, welche durch eine Unverträglichkeit gegenüber Gluten ausgelöst wird. Betroffen sind hiervon Menschen in jedem Alter, jedoch zeigen sich spezifische Charakteristika hinsichtlich Symptomatik und Diagnostik im Kindes- und Jugendalter. Diverse Studien bestätigen eine steigende Prävalenz und Wandel der klinischen Präsentation, weshalb eine Auseinandersetzung mit diesem Thema von Relevanz ist. Das Vorrangige Ziel dieser Diplomarbeit besteht darin, einen umfassenden Überblick über diese Erkrankung zu erlangen.",
            "authors": [
                "Ebm, K"
            ],
            "year": 2025,
            "source": "Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2025. pp. 69",
            "category": 5,
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            "country": "40",
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        {
            "id": 216394,
            "title": "Verwendung von zytologischer p16/Ki67 Färbung im Management von auffälligen PAP-Abstrichen in der Schwangerschaft",
            "abstract": "Hintergrund und Ziele: Zervikale intraepitheliale Neoplasien (CIN) stellen bei schwangeren Patientinnen eine besondere diagnostische Herausforderung dar. Graviditätsbedingte hormonelle und immunologische Umstellungen führen zu physiologischen Veränderungen der Zervix. Dies kann die Interpretation der diagnostischen Methoden und die Einschätzung der Dysplasien erschweren. Ein Test zur Ermöglichung der Vorhersage des postpartalen Verlaufs eines auffälligen zervikalen Befundes in der Schwangerschaft ist daher von Interesse. Die p16/Ki-67-Dualfärbung (CINtec© PLUS) hat sich bereits als valider Marker erwiesen, um hochgradige (HSIL) von niedriggradigen (LSIL) Veränderungen bei nicht-schwangeren Frauen abzugrenzen. Obwohl der Titel der Arbeit ursprünglich das Management von Frauen mit auffälligem PAP-Abstrich in der Schwangerschaft erwähnt, fokussiert sich diese Studie auf die Frage, ob die p16/Ki-67-Dualfärbung in der Schwangerschaft den postpartalen Verlauf (Regression, Persistenz, Progression) eines präpartal auffälligen Zervixbefundes verlässlich vorhersagen kann. Darüber hinaus sollte geklärt werden, ob bei auffälligem zervikalen Befund präpartal eine Dual-Staining-Positivität in der Schwangerschaft vermehrt mit einem positiven HPV-Status und einer HSIL-Histologie (CIN II+) post partum assoziiert ist.",
            "authors": [
                "Fischer, A"
            ],
            "year": 2025,
            "source": "Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2025. pp. 62",
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            "document_type": 15,
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            "university": "Medizinische Universität Graz",
            "country": "40",
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        },
        {
            "id": 215779,
            "title": "Arterial blood pressure and cerebral tissue oxygenation during immediate transition after birth in term and preterm neonates – a prospective pilot observational study",
            "abstract": "The aim of this study was to investigate the influence of arterial blood pressure on cerebral tissue oxygen saturation index (cTOI) and cerebral fractional tissue oxygen extraction (cFTOE) in preterm and term neonates during the immediate neonatal transition after birth.",
            "authors": [
                "Pfurtscheller, D"
            ],
            "year": 2025,
            "source": "Doktoratsstudium der Medizinischen Wissenschaft; Humanmedizin; [ Dissertation ] Medizinische Universität Graz; 2025. pp. 82",
            "category": 5,
            "document_type": 16,
            "sci": null,
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            "imported": "2025-04-23T10:24:34+02:00",
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            "university": "Medizinische Universität Graz",
            "country": "40",
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        },
        {
            "id": 216408,
            "title": "Lebensstilinterventionen und ihr Potenzial in der modernen Diabetesprävention",
            "abstract": "Typ 2 Diabetes mellitus stellt eine der größten globalen gesundheitlichen Herausforderungen der modernen Gesellschaft dar. Weltweit steigen die Prävalenzraten kontinuierlich und auch in Österreich sind schon etwa 8 % der Bevölkerung betroffen. Neben einer verkürzten Lebenserwartung führt die Erkrankung zu vielen Jahren mit eingeschränkter Lebensqualität. T2DM ist jedoch keine unvermeidliche Krankheit. Zahlreiche wissenschaftliche Erkenntnisse belegen, dass gezielte Lebensstiländerungen nicht nur das Risiko senken, sondern die Erkrankung in vielen Fällen sogar rückgängig gemacht werden kann.",
            "authors": [
                "Erker, T"
            ],
            "year": 2025,
            "source": "Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2025. pp. ",
            "category": 5,
            "document_type": 15,
            "sci": null,
            "pubmed": null,
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            "country": "40",
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        },
        {
            "id": 216405,
            "title": "Offene Reposition der Säuglingshüfte - eine retrospektive Studie",
            "abstract": "Einleitung: Die Hüftdysplasie gilt als eine der häufigsten orthopädischen Erkrankungen im Säuglingsalter. Seit Einführung des sonographischen Hüftscreenings lassen sich frühkindliche Hüften in unterschiedliche Schweregrade (Hüfttypen) der Dysplasie einteilen. Dies ermöglicht den Einsatz von frühzeitigen, adäquaten konservativen Behandlungsmethoden von dysplastischen Hüften. Dennoch lassen sich nicht alle luxierten Hüften konservativ behandeln und geschlossen einrichten, was die Indikation zur offenen Reposition stellt. Diese Studie machte es sich zur Aufgabe, Ergebnisse aus bereits vorliegenden Daten einer Zielgruppe von Patient*innen zu beschreiben, bei denen, aufgrund einer Hüftluxation bzw. Deformität im Säuglingsalter, eine offene Reposition am LKH Murtal - Standort Stolzalpe durchgeführt wurde.",
            "authors": [
                "Tzanoukakis, N"
            ],
            "year": 2025,
            "source": "Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2025. pp. ",
            "category": 5,
            "document_type": 15,
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        },
        {
            "id": 217553,
            "title": "Cascaded Self-Supervision to Advance Cardiac MRI Segmentation in Low-Data Regimes.",
            "abstract": null,
            "authors": [
                "Urschler, M",
                "Rechberger, E",
                "Thaler, F",
                "Štern, D"
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            "year": 2025,
            "source": "Bioengineering (Basel). 2025; 12(8):",
            "category": 1,
            "document_type": 1,
            "sci": "ISI:001557827700001",
            "pubmed": "40868385",
            "doi": "10.3390/bioengineering12080872",
            "pmc": "PMC12383799",
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                "217553-14011"
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                "217553-63647-2"
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            "imported": "2025-08-29T02:00:00+02:00",
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            "case_report": false,
            "impactfactor": 3.7,
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        },
        {
            "id": 217675,
            "title": "Artificial Intelligence Models for Predicting Outcomes in Spinal Metastasis: A Systematic Review and Meta-Analysis",
            "abstract": null,
            "authors": [
                "Sanker, V",
                "Dawer, P",
                "Thaller, A",
                "Li, ZK",
                "Heesen, P",
                "Hariharan, S",
                "Nordin, EOR",
                "Cavagnaro, MJ",
                "Ratliff, J",
                "Desai, A"
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            "year": 2025,
            "source": "J CLIN MED. 2025; 14(16): 5885",
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            "sci": "ISI:001559713000001",
            "pubmed": "40869712",
            "doi": "10.3390/jcm14165885",
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            "impactfactor_norm_category": "MEDICINE, GENERAL & INTERNAL-SCIE",
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        },
        {
            "id": 216407,
            "title": "Erweiterte Impedanzkardiographie zur nicht-invasiven Messung des Cardiac Output: Eine Pilotstudie",
            "abstract": "Die Studienlage bezüglich der Validität der Impedanzkardiographie als zuverlässige und ak-kurate Messmethode für die Messung des SV und CO bei Menschen mit Herzkreislaufer-krankungen und jenen mit alteriertem Volumen- und Flüssigkeitshaushalt ist grundsätzlich nicht einheitlich und mit diversen Limitationen vergesellschaftet. Ein wesentlicher Aspekt hierbei ist, dass sich jene Impedanzparameter, welche als Einflussvariablen in der Berech-nung des CO dienen, ausschließlich auf den Thorax beschränken und damit für systemati-sche Messfehler anfällig sind. Ziel der vorliegenden Arbeit ist es im Rahmen einer Pilotstu-die und durch vorhandene Sekundärdaten die Impedanzkardiographie hinsichtlich Plethysmographieparameter des linken Beines zu erweitern und mittels multipler linearen Regression auf ihre Nützlichkeit zu überprüfen.",
            "authors": [
                "Mahdi Nour Ali, Y"
            ],
            "year": 2025,
            "source": "Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2025. pp. 77",
            "category": 5,
            "document_type": 15,
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            "university": "Medizinische Universität Graz",
            "country": "40",
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        },
        {
            "id": 216071,
            "title": "Computational Semantics for Intelligent Digital Health Applications",
            "abstract": "Introduction. The introduction of electronic health records (EHRs) has revolutionized healthcare by digitizing patient information and improving its accessibility and reuse. However, interoperability remains a significant challenge due to variations in terminologies, data formats, and system architecture across institutions, hindering seamless data exchange. This lack of standardization limits the potential of intelligent digital health applications. This dissertation explores solutions to enhance EHR interoperability by applying classical and deep learning-based text classification methods, automating named entity recognition (NER) and medical concept normalization (MCN) using unsupervised techniques, and leveraging transformer models and large language models (LLMs) for mapping clinical narratives to terminologies such as SNOMED CT.",
            "authors": [
                "Kuppassery Abdulnazar, A"
            ],
            "year": 2025,
            "source": "PhD-Studium (Doctor of Philosophy); Humanmedizin; [ Dissertation ] Mediziniche Universität Graz; 2025. pp. 99",
            "category": 5,
            "document_type": 16,
            "sci": null,
            "pubmed": null,
            "doi": null,
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            "imported": "2025-05-08T16:18:22+02:00",
            "journal": null,
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            "edition": null,
            "university": "Mediziniche Universität Graz",
            "country": "40",
            "case_report": false,
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            "bmf_use": false,
            "zmf_use": false,
            "local_affiliation": false
        },
        {
            "id": 217982,
            "title": "Carbon Emissions From Patient Travel for Health Care",
            "abstract": null,
            "authors": [
                "Zurl, H",
                "Qian, ZY",
                "Stelzl, DR",
                "Dagnino, F",
                "Korn, SM",
                "Labban, M",
                "Lipsitz, SR",
                "Leitsmann, M",
                "Ahyai, S",
                "Ellimoottil, C",
                "Loeb, S",
                "Iyer, HS",
                "Trinh, QD",
                "Cole, AP"
            ],
            "year": 2025,
            "source": "OBSTET GYNECOL SURV. 2025; 80(9): 539-541. ",
            "category": 1,
            "document_type": 4,
            "sci": "ISI:001574195400002",
            "pubmed": null,
            "doi": "10.1097/01.ogx.0001168064.29481.87",
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            "organizations": [
                "217982-14056"
            ],
            "persons": [
                "217982-96506-2",
                "217982-111791-6",
                "217982-113095-6"
            ],
            "imported": "2025-09-29T09:23:39+02:00",
            "journal": "OBSTET GYNECOL SURV",
            "issn": "0029-7828",
            "collection_publisher": null,
            "collection_title": "OBSTETRICAL & GYNECOLOGICAL SURVEY; ",
            "edition": null,
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            "case_report": false,
            "impactfactor": 3.6,
            "impactfactor_year": 2025,
            "impactfactor_norm": 0.833,
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            "impactfactor_norm_category": "OBSTETRICS & GYNECOLOGY-SCIE",
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            "impactfactor_norm_super_year": 2022,
            "impactfactor_norm_super_category": "OBSTETRICS + GYNECOLOGY-SCIE",
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            "zmf_use": false,
            "local_affiliation": true
        },
        {
            "id": 216620,
            "title": "Teaching artificial intelligence (AI) and machine learning (ML) for pediatric surgeons: Results of a pre- and post- workshop survey.",
            "abstract": null,
            "authors": [
                "Elsayed, H",
                "Singer, G",
                "Till, T",
                "Tschauner, S",
                "Till, H"
            ],
            "year": 2025,
            "source": "2025 Annual Congress IPEG; MAY 27-29, 2025; Kagoshima, JAPAN. 2025. ",
            "category": 3,
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                "216620-14049",
                "216620-14106"
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                "216620-97866",
                "216620-120871",
                "216620-83445",
                "216620-85440"
            ],
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            "zmf_use": false,
            "local_affiliation": true
        },
        {
            "id": 216622,
            "title": "Artificial intelligence (AI) based machine learning (ML) model trained with visual quality indicators (VQIs) for laparoscopic NISSEN fundoplication: An experimental proof of concept",
            "abstract": null,
            "authors": [
                "Till, H",
                "Esposito, C",
                "Yeung, CK",
                "Patkowski, D",
                "Shehata, S",
                "Rothenberg, S",
                "Singer, G",
                "Till, T"
            ],
            "year": 2025,
            "source": "2025 Annual Congress IPEG; MAY 27-29, 2025; Kagoshima, JAPAN. 2025. ",
            "category": 3,
            "document_type": null,
            "sci": null,
            "pubmed": null,
            "doi": null,
            "pmc": null,
            "organizations": [
                "216622-14049",
                "216622-14106"
            ],
            "persons": [
                "216622-120871",
                "216622-50778",
                "216622-83445"
            ],
            "imported": "2025-06-11T21:57:43+02:00",
            "journal": null,
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            "biobank_use": false,
            "bmf_use": false,
            "zmf_use": false,
            "local_affiliation": true
        },
        {
            "id": 216409,
            "title": "Ernährungspsychiatrische Sicht auf das Mikrobiom.",
            "abstract": null,
            "authors": [
                "Lackner, S"
            ],
            "year": 2025,
            "source": "AKE-DIALOG Spotlight Ernährung <-> Mikrobiom; MAI 9, 2025; Linz, AUSTRIA. 2025. ",
            "category": 3,
            "document_type": null,
            "sci": null,
            "pubmed": null,
            "doi": null,
            "pmc": null,
            "organizations": [
                "216409-14014"
            ],
            "persons": [
                "216409-88711"
            ],
            "imported": "2025-05-26T12:07:06+02:00",
            "journal": null,
            "issn": null,
            "collection_publisher": null,
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            "edition": null,
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            "conference_name": true,
            "conference_place": true,
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            "biobank_use": false,
            "bmf_use": false,
            "zmf_use": false,
            "local_affiliation": true
        },
        {
            "id": 216621,
            "title": "Artificial intelligence (AI) and Computer Vision (CV): Are We Developing Such Innovations Already for Pediatric Endosurgery?",
            "abstract": null,
            "authors": [
                "Elsayed, H",
                "Singer, G",
                "Till, T",
                "Till, H"
            ],
            "year": 2025,
            "source": "2025 Annual Congress IPEGA; MAY 27-29, 2025; Kagoshima, JAPAN. 2025. ",
            "category": 3,
            "document_type": null,
            "sci": null,
            "pubmed": null,
            "doi": null,
            "pmc": null,
            "organizations": [
                "216621-14049",
                "216621-14106"
            ],
            "persons": [
                "216621-120871",
                "216621-50778",
                "216621-83445",
                "216621-97866"
            ],
            "imported": "2025-06-11T21:54:58+02:00",
            "journal": null,
            "issn": null,
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            "edition": null,
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            "case_report": false,
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            "biobank_use": false,
            "bmf_use": false,
            "zmf_use": false,
            "local_affiliation": true
        },
        {
            "id": 215410,
            "title": "Cholesterin - der große Schwindel? \r\nEine wissenschaftliche Analyse cholesterinkritischer Ansichten",
            "abstract": "Unser heutiges Verständnis der Lipidhypothese beruht auf über 150 Jahren Forschung und bildet seit Jahrzehnten eine wichtige Grundlage in der Prävention und Behandlung kardiovaskulärer Erkrankungen. Trotz der umfassenden Evidenzbasis hat sich jedoch eine skeptische Bewegung etabliert, die den Zusammenhang zwischen Cholesterin bzw. Lipoproteinen und kardiovaskulären Erkrankungen anzweifelt. Diese Skeptiker bestehen aus einer heterogenen Gruppe, darunter auch Mediziner und Wissenschaftler, die ihre kontroversen Ansichten in populärwissenschaftlichen Publikationen und sozialen Medien verbreiten. Ziel dieser Arbeit ist es, häufige Argumente der Cholesterinskeptiker auf ihre wissenschaftliche Haltbarkeit zu überprüfen. Im Rahmen einer umfassenden Literaturrecherche wurden wissenschaftliche Primärstudien, Metaanalysen und Leitlinien internationaler Fachgesellschaften ausgewertet. Parallel dazu erfolgte eine Analyse der Literatur und Aussagen der Cholesterinskeptiker. Wiederkehrende Argumente, wie das angebliche Cholesterin-Paradoxon, die Behauptung, dass niedrige LDL-Werte gesundheitliche Risiken bergen, sowie die umfassende Kritik an der Statintherapie, wurden der aktuellen Datenlage gegenübergestellt. Die Ergebnisse zeigen, dass die Lipidhypothese durch eine umfangreiche wissenschaftliche Evidenzlage gestützt wird. Eine Senkung der Lipoproteine bzw. des Cholesterins kann das kardiovaskuläre Risiko signifikant reduzieren. Die meisten Argumente der Cholesterinskeptiker erweisen sich bei genauer Analyse als wissenschaftlich nicht ausreichend fundiert und beruhen häufig auf selektiven oder kontextuell eingeschränkten Darstellungen wissenschaftlicher Daten. Die Arbeit betont die Notwendigkeit einer evidenzbasierten Wissenschaftskommunikation, um Fehlinformationen vorzubeugen und die Akzeptanz präventiver Maßnahmen zur Senkung kardiovaskulärer Risiken zu fördern.",
            "authors": [
                "Koinegg, L"
            ],
            "year": 2025,
            "source": "Humanmedizin; [ Diplomarbeit ] Medizinische Universität Graz; 2025. pp. 128",
            "category": 5,
            "document_type": 15,
            "sci": null,
            "pubmed": null,
            "doi": null,
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            "imported": "2025-04-02T11:10:01+02:00",
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            "edition": null,
            "university": "Medizinische Universität Graz",
            "country": "40",
            "case_report": false,
            "impactfactor": null,
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        },
        {
            "id": 216624,
            "title": "Zerebrale Oxygenierung während der ersten 15 Minuten nach der Geburt und frühes Outcome gemessen am Motor Optimality Score – Revised (MOS-R).\r\n",
            "abstract": null,
            "authors": [
                "Scheuchenegger, A",
                "Wolfsberger, CH",
                "Schwaberger, B",
                "Avian, A",
                "Walter-Romen, M",
                "Hammerl, M",
                "Kiechl-Kohlendorfer, U",
                "Griesmaier, E",
                "Pichler, G"
            ],
            "year": 2025,
            "source": "Z Geburtsh Neonatol. 2025; 229(3):e32-e32.-51. Jahrestagung der Gesellschaft für Neonatologie und Pädiatrische Intensivmedizin e.V. (GNPI); MAY 22-24, 2025; Lübeck, GERMANY. ",
            "category": 2,
            "document_type": 9,
            "sci": null,
            "pubmed": null,
            "doi": null,
            "pmc": null,
            "organizations": [
                "216624-14026",
                "216624-14094"
            ],
            "persons": [
                "216624-50907",
                "216624-82050",
                "216624-83581",
                "216624-67207",
                "216624-79516"
            ],
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}