Literature DB >> 31548039

Guideline No. 388-Determination of Gestational Age by Ultrasound.

Kimberly Butt1, Kenneth I Lim2.   

Abstract

OBJECTIVE: To assist clinicians in assigning gestational age based on ultrasound biometry. OUTCOMES: To determine whether ultrasound dating provides more accurate gestational age assessment than menstrual dating with or without the use of ultrasound. To provide maternity health care providers and researchers with evidence-based guidelines for the assignment of gestational age. To determine which ultrasound biometric parameters are superior when gestational age is uncertain. To determine whether ultrasound gestational age assessment is cost effective. EVIDENCE: Published literature was retrieved through searches of PubMed or MEDLINE and The Cochrane Library in 2013 using appropriate controlled vocabulary and key words (gestational age, ultrasound biometry, ultrasound dating). Results were restricted to systematic reviews, randomized control trials/controlled clinical trials, and observational studies written in English. There were no date restrictions. Searches were updated on a regular basis and incorporated in the guideline to July 31, 2013. Grey (unpublished) literature was identified through searching the websites of health technology assessment and health technology-related agencies, clinical practice guideline collections, clinical trial registries, and national and international medical specialty societies. VALUES: The quality of evidence in this document was rated using the criteria described in the Report of the Canadian Task Force on Preventive Health Care (Table 1). BENEFITS, HARMS, AND COSTS: Accurate assignment of gestational age may reduce post-dates labour induction and may improve obstetric care through allowing the optimal timing of necessary interventions and the avoidance of unnecessary ones. More accurate dating allows for optimal performance of prenatal screening tests for aneuploidy. A national algorithm for the assignment of gestational age may reduce practice variations across Canada for clinicians and researchers. Potential harms include the possible reassignment of dates when significant fetal pathology (such as fetal growth restriction or macrosomia) result in a discrepancy between ultrasound biometric and clinical gestational age. Such reassignment may lead to the omission of appropriate-or the performance of inappropriate-fetal interventions. SUMMARY STATEMENTS: RECOMMENDATIONS.
Copyright © 2019 The Society of Obstetricians and Gynaecologists of Canada/La Société des obstétriciens et gynécologues du Canada. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  dating; gestational age; ultrasound

Mesh:

Year:  2019        PMID: 31548039     DOI: 10.1016/j.jogc.2019.04.010

Source DB:  PubMed          Journal:  J Obstet Gynaecol Can        ISSN: 1701-2163


  6 in total

1.  FIGO (international Federation of Gynecology and obstetrics) initiative on fetal growth: best practice advice for screening, diagnosis, and management of fetal growth restriction.

Authors:  Nir Melamed; Ahmet Baschat; Yoav Yinon; Apostolos Athanasiadis; Federico Mecacci; Francesc Figueras; Vincenzo Berghella; Amala Nazareth; Muna Tahlak; H David McIntyre; Fabrício Da Silva Costa; Anne B Kihara; Eran Hadar; Fionnuala McAuliffe; Mark Hanson; Ronald C Ma; Rachel Gooden; Eyal Sheiner; Anil Kapur; Hema Divakar; Diogo Ayres-de-Campos; Liran Hiersch; Liona C Poon; John Kingdom; Roberto Romero; Moshe Hod
Journal:  Int J Gynaecol Obstet       Date:  2021-03       Impact factor: 3.561

2.  Machine learning guided postnatal gestational age assessment using new-born screening metabolomic data in South Asia and sub-Saharan Africa.

Authors:  Sunil Sazawal; Kelli K Ryckman; Sayan Das; Abdullah H Baqui; Fyezah Jehan; Usha Dhingra; Rajiv Bahl; Rasheda Khanam; Imran Nisar; Elizabeth Jasper; Arup Dutta; Sayedur Rahman; Usma Mehmood; Bruce Bedell; Saikat Deb; Nabidul Haque Chowdhury; Amina Barkat; Harshita Mittal; Salahuddin Ahmed; Farah Khalid; Rubhana Raqib; Alexander Manu; Sachiyo Yoshida; Muhammad Ilyas; Ambreen Nizar; Said Mohammed Ali
Journal:  BMC Pregnancy Childbirth       Date:  2021-09-07       Impact factor: 3.105

3.  Comparison of first trimester dating methods for gestational age estimation and their implication on preterm birth classification in a North Indian cohort.

Authors:  Ramya Vijayram; Nikhita Damaraju; Ashley Xavier; Bapu Koundinya Desiraju; Ramachandran Thiruvengadam; Sumit Misra; Shilpa Chopra; Ashok Khurana; Nitya Wadhwa; Raghunathan Rengaswamy; Himanshu Sinha; Shinjini Bhatnagar
Journal:  BMC Pregnancy Childbirth       Date:  2021-04-30       Impact factor: 3.007

4.  Machine learning prediction of gestational age from metabolic screening markers resistant to ambient temperature transportation: Facilitating use of this technology in low resource settings of South Asia and East Africa.

Authors:  Sunil Sazawal; Sayan Das; Kelli K Ryckman; Rasheda Khanam; Imran Nisar; Saikat Deb; Elizabeth A Jasper; Sayedur Rahman; Usma Mehmood; Arup Dutta; Nabidul Haque Chowdhury; Amina Barkat; Harshita Mittal; Salahuddin Ahmed; Farah Khalid; Said Mohammed Ali; Rubhana Raqib; Muhammad Ilyas; Ambreen Nizar; Alexander Manu; Donna Russell; Sachiyo Yoshida; Abdullah H Baqui; Fyezah Jehan; Usha Dhingra; Rajiv Bahl
Journal:  J Glob Health       Date:  2022-04-23       Impact factor: 4.413

Review 5.  Second and third trimester estimation of gestational age using ultrasound or maternal symphysis-fundal height measurements: A systematic review.

Authors:  Alice Self; Lama Daher; Michael Schlussel; Nia Roberts; Christos Ioannou; Aris T Papageorghiou
Journal:  BJOG       Date:  2022-03-10       Impact factor: 7.331

6.  Using AMANHI-ACT cohorts for external validation of Iowa new-born metabolic profiles based models for postnatal gestational age estimation.

Authors:  Sunil Sazawal; Kelli K Ryckman; Harshita Mittal; Rasheda Khanam; Imran Nisar; Elizabeth Jasper; Sayedur Rahman; Usma Mehmood; Sayan Das; Bruce Bedell; Nabidul Haque Chowdhury; Amina Barkat; Arup Dutta; Saikat Deb; Salahuddin Ahmed; Farah Khalid; Rubhana Raqib; Muhammad Ilyas; Ambreen Nizar; Said Mohammed Ali; Alexander Manu; Sachiyo Yoshida; Abdullah H Baqui; Fyezah Jehan; Usha Dhingra; Rajiv Bahl
Journal:  J Glob Health       Date:  2021-07-17       Impact factor: 4.413

  6 in total

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