Evidence mapPaperPMID 40783552Full record

ReviewDiabetology & metabolic syndrome2025

Continuous glucose monitoring system in diabetes in pregnancy: a narrative review.

Melanie Rodacki, Marcio Krakauer, Denise Reis Franco, Patricia Medici Dualib, Mauro Sancovski, Lenita Zajdenverg

Abstract readReview
In one paragraph

Review in Diabetology & metabolic syndrome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Observational
  3. 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

6 authors.

Melanie RodackiInternal Medicine Department, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil. melanierodacki@gmail.com.
Marcio KrakauerDiabetes League, ABC Medical School, Santo André, SP, Brazil.
Denise Reis FrancoCPCLIN -Centro de Pesquisas Clínicas-DASA, São Paulo, SP, Brazil.
Patricia Medici DualibDiabetes Center, São Paulo Federal University, São Paulo, SP, Brazil.
Mauro SancovskiFetal Medicine Unit, Department of Obstetrics, ABC Medical School, Santo André, SP, Brazil.
Lenita ZajdenvergInternal Medicine Department, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes in pregnancy increases maternal and fetal risks as well as the burden of chronic complications and comorbidities associated with this condition. In addition to HbA1c and blood glucose monitoring (BGM), continuous glucose monitoring systems (CGM) provide a complementary tool that enables comprehensive glycemic assessments and improves glycemic control. This review highlights the clinical value of CGM in the management of diabetes in pregnancy, encompassing type 1 diabetes, type 2 diabetes, gestational diabetes mellitus (GDM), but also early GDM. CGM derived metrics, such as time in range (TIR) and mean glucose levels, are associated with adverse pregnancy outcomes, emphasizing the importance of optimizing glycemic control. Overall, CGM is a valuable tool for detecting glucose fluctuations in pregnancies complicated by all forms of diabetes.

Indexed as

AccuracyContinuous glucose monitoringDiabetesGestational diabetesPregnancy

Identifiers

PMID40783552
PMCPMC12335106

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.