Evidence map›Paper›PMID 29958022›Full record

Trial reportDiabetes technology & therapeutics2018

Adaptability of Closed Loop During Labor, Delivery, and Postpartum: A Secondary Analysis of Data from Two Randomized Crossover Trials in Type 1 Diabetes Pregnancy.

Zoe A Stewart, Jennifer M Yamamoto, Malgorzata E Wilinska, Sarah Hartnell, Conor Farrington, Roman Hovorka, Helen R Murphy

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Diabetes technology & therapeutics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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, 3 syntheses or guidelines pooled it.

  1. [Hospital diabetes management (Update 2026)].Wiener klinische Wochenschrift · 2026
    Guideline
  2. Guideline
  3. Guideline
  4. Trial
  5. Trial
  6. Review
  7. Glycaemic control in labour with diabetes: GILD, a scoping study.Health technology assessment (Winchester, England) · 2025
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Diabetes Technology in the Inpatient Setting for Management of Hyperglycemia.Endocrinology and metabolism clinics of North America · 2020
    Review
  19. Article
  20. Single-Hormone Artificial Pancreas Use in Diabetes: Clinical Efficacy and Remaining Challenges.Diabetes spectrum : a publication of the American Diabetes Association · 2019
    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

7 authors.

Zoe A Stewart1 Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge , Cambridge, United Kingdom .
Jennifer M Yamamoto3 Department of Medicine, University of Calgary , Calgary, Alberta, Canada .
Malgorzata E Wilinska1 Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge , Cambridge, United Kingdom .
Sarah Hartnell2 Wolfson Diabetes and Endocrine Clinic, Cambridge University Hospitals NHS Foundation Trust , Cambridge, United Kingdom .
Conor Farrington4 Department of Public Health and Primary Care, THIS Institute, University of Cambridge , Cambridge, United Kingdom .
Roman Hovorka1 Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge , Cambridge, United Kingdom .
Helen R Murphy1 Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge , Cambridge, United Kingdom .

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tight glucose control during labor and delivery is recommended for pregnant women with type 1 diabetes. This can be challenging to achieve using the current treatment modalities. The automated nature of closed loop and its ability to adapt to real-time glucose levels make it well suited for use during labor, delivery, and the immediate postpartum period. We report observational data of participants from two randomized crossover trials who chose to continue using closed loop during labor, delivery, and postpartum. Labor was defined as the 24 h before delivery and postpartum as the 48 h after delivery. The glucose target range during pregnancy was 3.5-7.8 mmol/L (63-140 mg/dL) and 3.9-10 mmol/L (70-180 mg/dL) after delivery. Twenty-seven (84.4%) of the potential 32 trial participants used closed loop through labor, delivery, and postpartum. Use of closed loop was associated with 82.0% (interquartile range [IQR] 49.3, 93.0) time-in-target range during labor and delivery and a mean glucose of 6.9 ± 1.4 mmol/L (124 ± 25 mg/dL). Closed loop performed well throughout vaginal, elective, and emergency cesarean section deliveries. Postpartum, women spent 83.3% (IQR 75.2, 94.6) time-in-target range (3.9-10.0 mmol/L [70-180 mg/dL]), with a mean glucose of 7.2 ± 1.4 mmol/L (130 ± 25 mg/dL). There was no difference in maternal glucose concentration between mothers of infants with and without neonatal hypoglycemia (6.9 ± 1.6 mmol/L and 6.8 ± 1.1 mmol/L [124 ± 29 mg/dL and 122 ± 20 mg/dL] respectively; P = 0.84). Automated closed-loop insulin delivery is feasible during hospital admissions for labor, delivery, and postpartum. Larger scale studies are needed to evaluate its efficacy compared with current clinical approaches as well as understand how women and healthcare providers will adopt this technology.

Indexed as

Delivery, ObstetricInsulin Infusion SystemsLabor, ObstetricAdultBlood GlucoseCross-Over StudiesDiabetes Mellitus, Type 1FemaleHumansHypoglycemic AgentsInsulinPostpartum PeriodPregnancyPregnancy in DiabeticsTreatment OutcomeBlood GlucoseHypoglycemic AgentsInsulinClosed loopDiabetesInsulinLabor and deliveryPregnancy

Identifiers

PMID29958022
PMCPMC6025695

What OpenQuestion holds

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LicenceCC BY-NC
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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.