Prediction models for caesarean section following induction of labour: a systematic review of methodology and reporting quality.
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| Title: | Prediction models for caesarean section following induction of labour: a systematic review of methodology and reporting quality. |
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| Authors: | Hu Y; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia. Yanan.hu@monash.edu., Zhang X; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia., Gokhale S; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia., Slavin V; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia.; Gold Coast Hospital and Health Service, Gold Coast University Hospital, Southport, Australia.; School of Nursing and Midwifery, Griffith University, Gold Coast, Australia., Enticott J; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia., Callander E; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia.; School of Public Health, University of Technology Sydney, Sydney, Australia. |
| Source: | BMC medical research methodology [BMC Med Res Methodol] 2026 Jan 27; Vol. 26 (1), pp. 41. Date of Electronic Publication: 2026 Jan 27. |
| Publication Type: | Journal Article; Systematic Review |
| Journal Info: | Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41593513 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Prediction models for caesarean section following induction of labour: a systematic review of methodology and reporting quality. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Hu+Y%22">Hu Y</searchLink>; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia. Yanan.hu@monash.edu.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Department of Electrical and Computer Systems Engineering, Monash University, Melbourne, Australia.<br /><searchLink fieldCode="AU" term="%22Gokhale+S%22">Gokhale S</searchLink>; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia.<br /><searchLink fieldCode="AU" term="%22Slavin+V%22">Slavin V</searchLink>; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia.; Gold Coast Hospital and Health Service, Gold Coast University Hospital, Southport, Australia.; School of Nursing and Midwifery, Griffith University, Gold Coast, Australia.<br /><searchLink fieldCode="AU" term="%22Enticott+J%22">Enticott J</searchLink>; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia.<br /><searchLink fieldCode="AU" term="%22Callander+E%22">Callander E</searchLink>; Monash Centre for Health Research and Implementation, Faculty of Medicine, Nursing and Health Sciences, Monash University, 43-51 Kanooka Grove, Clayton, Melbourne, VIC 3168, Australia.; School of Public Health, University of Technology Sydney, Sydney, Australia. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100968545%22">BMC medical research methodology</searchLink> [BMC Med Res Methodol] 2026 Jan 27; Vol. 26 (1), pp. 41. <i>Date of Electronic Publication: </i>2026 Jan 27. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Systematic Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968545 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2288 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712288%22">14712288 </searchLink><i>NLM ISO Abbreviation: </i>BMC Med Res Methodol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41593513 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1186/s12874-026-02767-7 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 41 Titles: – TitleFull: Prediction models for caesarean section following induction of labour: a systematic review of methodology and reporting quality. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Hu Y – PersonEntity: Name: NameFull: Zhang X – PersonEntity: Name: NameFull: Gokhale S – PersonEntity: Name: NameFull: Slavin V – PersonEntity: Name: NameFull: Enticott J – PersonEntity: Name: NameFull: Callander E IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 01 Text: 2026 Jan 27 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1471-2288 Numbering: – Type: volume Value: 26 – Type: issue Value: 1 Titles: – TitleFull: BMC medical research methodology Type: main |
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