Enhancing predictive accuracy: Assessing the laparoscopic hysterectomy readmission score in a diverse endometrial cancer population.

Saved in:
Bibliographic Details
Title: Enhancing predictive accuracy: Assessing the laparoscopic hysterectomy readmission score in a diverse endometrial cancer population.
Authors: Lightfoot MDS; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States of America. Electronic address: michelle.lightfoot@nyulangone.org., Sinnott JA; Department of Statistics, The Ohio State University College of Arts and Sciences, Columbus, OH, United States of America., Meade CE; Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States of America., Barrington DA; Gynecologic Oncology Section, Women's Services and The Ochsner Cancer Institute, Ochsner Health, New Orleans, LA, USA., Cosgrove CM; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, College of Medicine, The Ohio State University, Columbus, OH, United States of America., Chambers LM; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, College of Medicine, The Ohio State University, Columbus, OH, United States of America., Felix AS; Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States of America.
Source: Gynecologic oncology [Gynecol Oncol] 2025 Sep; Vol. 200, pp. 105-111. Date of Electronic Publication: 2025 Jul 29.
Publication Type: Journal Article
Journal Info: Publisher: Academic Press Country of Publication: United States NLM ID: 0365304 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-6859 (Electronic) Linking ISSN: 00908258 NLM ISO Abbreviation: Gynecol Oncol Subsets: MEDLINE
Database: MEDLINE Ultimate
FullText Text:
  Availability: 0
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 40737731
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Enhancing predictive accuracy: Assessing the laparoscopic hysterectomy readmission score in a diverse endometrial cancer population.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Lightfoot+MDS%22">Lightfoot MDS</searchLink>; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Perlmutter Cancer Center, New York University Langone Health, New York, NY, United States of America. Electronic address: michelle.lightfoot@nyulangone.org.<br /><searchLink fieldCode="AU" term="%22Sinnott+JA%22">Sinnott JA</searchLink>; Department of Statistics, The Ohio State University College of Arts and Sciences, Columbus, OH, United States of America.<br /><searchLink fieldCode="AU" term="%22Meade+CE%22">Meade CE</searchLink>; Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States of America.<br /><searchLink fieldCode="AU" term="%22Barrington+DA%22">Barrington DA</searchLink>; Gynecologic Oncology Section, Women's Services and The Ochsner Cancer Institute, Ochsner Health, New Orleans, LA, USA.<br /><searchLink fieldCode="AU" term="%22Cosgrove+CM%22">Cosgrove CM</searchLink>; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, College of Medicine, The Ohio State University, Columbus, OH, United States of America.<br /><searchLink fieldCode="AU" term="%22Chambers+LM%22">Chambers LM</searchLink>; Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, College of Medicine, The Ohio State University, Columbus, OH, United States of America.<br /><searchLink fieldCode="AU" term="%22Felix+AS%22">Felix AS</searchLink>; Division of Epidemiology, College of Public Health, The Ohio State University, Columbus, OH, United States of America.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%220365304%22">Gynecologic oncology</searchLink> [Gynecol Oncol] 2025 Sep; Vol. 200, pp. 105-111. <i>Date of Electronic Publication: </i>2025 Jul 29.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Academic+Press%22">Academic Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>0365304 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1095-6859 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200908258%22">00908258 </searchLink><i>NLM ISO Abbreviation: </i>Gynecol Oncol <i>Subsets: </i>MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40737731
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1016/j.ygyno.2025.07.021
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 105
    Titles:
      – TitleFull: Enhancing predictive accuracy: Assessing the laparoscopic hysterectomy readmission score in a diverse endometrial cancer population.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lightfoot MDS
      – PersonEntity:
          Name:
            NameFull: Sinnott JA
      – PersonEntity:
          Name:
            NameFull: Meade CE
      – PersonEntity:
          Name:
            NameFull: Barrington DA
      – PersonEntity:
          Name:
            NameFull: Cosgrove CM
      – PersonEntity:
          Name:
            NameFull: Chambers LM
      – PersonEntity:
          Name:
            NameFull: Felix AS
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 09
              Text: 2025 Sep
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-electronic
              Value: 1095-6859
          Numbering:
            – Type: volume
              Value: 200
          Titles:
            – TitleFull: Gynecologic oncology
              Type: main
ResultId 1