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Rodolfo Carvalho Pacagnella

University of Campinas - Department of Obstetrics & Gynecology

Brazil

  • University of Campinas - Department of Obstetrics & Gynecology

SCHOLARLY PAPERS

4

DOWNLOADS

316

TOTAL CITATIONS

0

Scholarly Papers (4)

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1.

Prognostic Accuracy of Clinical Markers of Postpartum Bleeding in Predicting Maternal Mortality or Severe Morbidity: A Who Individual Participant Data Meta-Analysis

Number of pages: 18 Posted: 13 Jun 2025
Ioannis D. Gallos, Caitlin R. Williams, Malcolm J. Price, Aurelio Tobias, Adam J. Devall, John Allotey, Fernando Althabe, Jenny A. Cresswell, Jill Durocher, Metin Gülmezoglu, Christian Haslinger, Rodolfo Carvalho Pacagnella, Loïc Sentilhes, Soha Sobhy, Idnan Yunas, Jon Deeks, Arri Coomarasamy, Olufemi T. Oladapo and WHO Consortium on Postpartum Haemorrhage Definition
World Health Organization (WHO), World Health Organization (WHO) - UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Canadian University Dubai, Nagasaki University - Department of Global Health, University of Birmingham, University of Birmingham - WHO Collaborating Centre for Global Women’s Health, World Health Organization (WHO), World Health Organization (WHO) - UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Gynuity Health Projects, New York, Concept Foundation, University Hospital Zurich, University of Campinas - Department of Obstetrics & Gynecology, Bordeaux University Hospital - Department of Obstetrics and Gynecology, University of Birmingham, University of Birmingham, University of Birmingham - Birmingham Clinical Trials Unit, University of Birmingham, World Health Organization (WHO) - UNDP/UNFPA/UNICEF/WHO/World Bank Special Programme of Research, Development and Research Training in Human Reproduction and Independent
Downloads 133 (551,165)

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Postpartum haemorrhage, Prognosis, Blood loss, IPD meta-analysis, Prognostic accuracy, Clinical markers

2.

Preterm Birth Rates and Caesarean Delivery Increased During the COVID-19 Pandemic in Brazil: Results from the National Database

Number of pages: 23 Posted: 09 Jun 2022
Charles M'Poca Charles, Luiz Alves Neto, Camila F. Soares, Tacildo Araújo, Cristiano Torezzan, Everton E. C. Lima, Aline Munezero, Luis G. Bahamondes, Renato Souza, Maria Laura Costa, Jose Cecatti, Rodolfo Carvalho Pacagnella and Study group REBRACO
University of Campinas- Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Institute of Mathematics, Statistics and Scientific Computing (IMEEC), Universidade Estadual de Campinas (UNICAMP) - Center for Population Studies (NEPO), Universidade Estadual de Campinas (UNICAMP) - Institute of Mathematics, Statistics and Scientific Computing (IMEEC), Universidade Estadual de Campinas (UNICAMP) - School of Applied Sciences, Universidade Estadual de Campinas (UNICAMP) - Center for Population Studies (NEPO), University of Campinas - Department of Obstetrics & Gynecology, University of Campinas - Department of Obstetrics & Gynecology, Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynecology, University of Campinas - Department of Obstetrics & Gynecology and affiliation not provided to SSRN
Downloads 81 (809,932)

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Preterm birth, COVID-19, Brazil, Caesarean delivery, prevalence.

3.

Construction and Validation of an Obstetric Risk Classification Engine to Support Intensive Care Unit (ICU) Admission Using Machine Learning

Number of pages: 34 Posted: 28 Dec 2022
Fabiano Miguel Soares, Lívia Ohana Rocha Oak Rose, Jose Cecatti, Adriana Gomes Luz, Oluwafunmilola Deborah Awe, Estevão Laureano Esmi and Rodolfo Carvalho Pacagnella
Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Institute of Mathematics, Statistics and Scientific Computing (IMEEC), Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynecology, Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Department of Obstetrics and Gynaecology, Universidade Estadual de Campinas (UNICAMP) - Institute of Mathematics, Statistics and Scientific Computing (IMEEC) and University of Campinas - Department of Obstetrics & Gynecology
Downloads 64 (933,592)

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Maternal Mortality, Intensive Care Unit, Maternal Health, Machine Learning, Artificial Intelligence

4.

Comparison of Contraceptive Sales Before and After the SARS-CoV-2 Pandemic in Brazil

Number of pages: 21 Posted: 19 Jul 2021
Charles M'Poca Charles, Aline Munezero, Luis G. Bahamondes and Rodolfo Carvalho Pacagnella
University of Campinas- Department of Obstetrics and Gynaecology, University of Campinas - Department of Obstetrics & Gynecology, University of Campinas - Department of Obstetrics & Gynecology and University of Campinas - Department of Obstetrics & Gynecology
Downloads 38 (1,222,651)

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SARS-CoV-2; COVID-19; contraceptive methods; LARCs; SARCs, Brazil; unplanned pregnancy