Evidence map›Paper›PMID 42571469›Full record

ArticleAJOG global reports2026

Pregnancy in a patient with glycogen storage disease type Ia (von Gierke disease): case report and management strategy.

Camila Andrea Camargo Rodríguez, Cristian Rolando Avellaneda-Garnica, Rafael Leonardo Aragón-Mendoza, Yaisa Maritza Castaño Toro, David Rodriguez Buritica

Abstract readCase Reports
In one paragraph

Article in AJOG global reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Camila Andrea Camargo RodríguezInstituto de la Mujer, Hospital Universitario Mayor-Méderi, Bogotá, Distrito Capital, Colombia (Rodríguez, Avellaneda-Garnica, Aragón-Mendoza, Toro).
Cristian Rolando Avellaneda-GarnicaInstituto de la Mujer, Hospital Universitario Mayor-Méderi, Bogotá, Distrito Capital, Colombia (Rodríguez, Avellaneda-Garnica, Aragón-Mendoza, Toro).
Rafael Leonardo Aragón-MendozaInstituto de la Mujer, Hospital Universitario Mayor-Méderi, Bogotá, Distrito Capital, Colombia (Rodríguez, Avellaneda-Garnica, Aragón-Mendoza, Toro).
Yaisa Maritza Castaño ToroInstituto de la Mujer, Hospital Universitario Mayor-Méderi, Bogotá, Distrito Capital, Colombia (Rodríguez, Avellaneda-Garnica, Aragón-Mendoza, Toro).
David Rodriguez BuriticaDivisión de Genética Medica, Departamento de Pediatría, Facultad de Medicina McGovern, Universidad de Texas, Centro Médico de Texas, Houston, TX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycogen storage disease type I (GSDI) is caused by biallelic pathogenic variants in the gene encoding the glucose-6-phosphatase complex. Deficiency of this enzyme in the liver, kidneys, and intestines leads to glycogen accumulation in these organs and, consequently, to inadequate glucose production due to impaired glycogenolysis and gluconeogenesis. The condition is rare, and only a limited number of cases have been reported in pregnant women with favorable maternal and perinatal outcomes. This is partly because GSDI has been associated with significant morbidity, including maternal metabolic disturbances, renal and/or hepatic disease, preeclampsia, and fetal growth restriction, among other complications. We present the case of a 23-year-old woman with a diagnosis of GSDI who was evaluated at 19 weeks of pregnancy and managed according to a multidisciplinary protocol, resulting in a favorable perinatal outcome. This case highlights the need for clinical management protocols with specific strategies during the preconception period, pregnancy, delivery, and postpartum, aimed at preventing complications and improving maternal and perinatal outcomes.

Indexed as

glycogen storage disease type Ihypoglycemiapregnancy

Identifiers

PMID42571469
PMCPMC13452344

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Registered trials

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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.