Evidence map›Paper›PMID 32454456›Full record

ArticleEuropean journal of endocrinology2020

ENDOCRINOLOGY IN THE TIME OF COVID-19: Diagnosis and management of gestational diabetes mellitus.

Shakila Thangaratinam, Shamil D Cooray, Nithya Sukumar, Mohammed S B Huda, Roland Devlieger, Katrien Benhalima, Fionnuala McAuliffe, Ponnusamy Saravanan, Helena J Teede

Open access · hybridAbstract read
In one paragraph

Article in European journal of endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Postprandial Hyperglycaemia Screening and Pregnancy Outcomes-Lessons From COVID -19.The Australian & New Zealand journal of obstetrics & gynaecology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Maternal medicine in the COVID era.Best practice & research. Clinical obstetrics & gynaecology · 2021
    Review
  14. Review
  15. Management of gestational diabetes in women with a concurrent severe acute respiratory syndrome coronavirus 2 infection, experience of a single center in Northern Italy.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2021
    Article
  16. Article
  17. An Update on Screening Strategies for Gestational Diabetes Mellitus: A Narrative Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Review
  18. Review
  19. Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 7 institutions in 4 countries.

Shakila ThangaratinamWHO Collaborating Centre for Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK.
Shamil D CoorayMonash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.ORCID 0000-0002-6825-4440
Nithya SukumarDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.
Mohammed S B HudaDepartment of Diabetes & Metabolism, St Bartholomew's and Royal London Hospitals, Barts Health NHS Trust, London, UK.
Roland DevliegerDepartment of Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium.
Katrien BenhalimaDepartment of Endocrinology, University Hospital Gasthuisberg, KU Leuven, Leuven, Belgium.
Fionnuala McAuliffeUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin, Ireland.
Ponnusamy SaravananDivision of Health Sciences, Warwick Medical School, University of Warwick, Coventry, UK.ORCID 0000-0002-9566-2626
Helena J TeedeMonash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia.
KU Leuven · BEMonash Health · AUBarts Health NHS Trust · GBBirmingham Women’s and Children’s NHS Foundation Trust · GBGeorge Eliot Hospital · GBUniversity College Dublin · IEUniversity of Warwick · GB

Funding

Medical Research Council MR/J000094/1Medical Research Council MR/N006232/1
6 · The paper itself

Abstract

The COVID-19 pandemic has required rapid transformation and adaptation of healthcare services. Women with gestational diabetes mellitus (GDM) are one of the largest high-risk groups accessing antenatal care. In reformulating the care offered to those with GDM, there is a need to balance the sometimes competing requirement of lowering the risk of direct viral transmission against the potential adverse impact of service changes. We suggest pragmatic options for screening of GDM in a pandemic setting based on blood tests, and risk calculators applied to underlying risk factors. Alternative models for antenatal care provision for women with GDM, including targeting high-risk groups, early lifestyle interventions and remote monitoring are provided. Testing options and their timing for postpartum screening in women who had GDM are also considered. Our suggestions are only applicable in a pandemic scenario, and usual guidelines and care pathways should be re-implemented as soon as possible and appropriate.

Indexed as

Practice Guidelines as TopicAdultBetacoronavirusCoronavirus InfectionsCOVID-19Diabetes, GestationalEndocrinologyFemaleHumansObstetricsPandemicsPneumonia, ViralPregnancyPregnancy Complications, InfectiousPrenatal CareSARS-CoV-2

Identifiers

PMID32454456
PMCPMC7938017
OpenAlexW3029126696

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.