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 |
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