Evidence map›Paper›PMID 31240152›Full record

ArticleJIMD reports2019

Hyperornithinemia-hyperammonemia-homocitrullinuria syndrome in pregnancy: Considerations for management and review of the literature.

Bernice Ho, Jennifer MacKenzie, Jagdeep Walia, Michael Geraghty, Graeme Smith, Julie Nedvidek, Andrea Guerin

Abstract readCase Reports
In one paragraph

Article in JIMD reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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. A Novel Mutation ofJournal of pediatric genetics · 2024
    Article
  2. Article
  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

7 authors.

Bernice HoFaculty of Arts and Science Queen's University Kingston Ontario Canada.
Jennifer MacKenzieDepartment of Pediatrics, Division of Medical Genetics Kingston General Hospital Kingston Ontario Canada.
Jagdeep WaliaDepartment of Pediatrics, Division of Medical Genetics Kingston General Hospital Kingston Ontario Canada.
Michael GeraghtyDivision of Metabolics, Department of Pediatrics Children's Hospital of Eastern Ontario Ottawa Ontario Canada.
Graeme SmithDepartment of Obstetrics and Gynecology Kingston General Hospital Kingston Ontario Canada.
Julie NedvidekDepartment of Pediatrics, Division of Medical Genetics Kingston General Hospital Kingston Ontario Canada.
Andrea GuerinDepartment of Pediatrics, Division of Medical Genetics Kingston General Hospital Kingston Ontario Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperornithinemia-hyperammonemia-homocitrullinuria (HHH) syndrome is a rare metabolic autosomal recessive urea cycle disorder. Only about 100 patients have been reported in the literature. As the population survives into reproductive years, pregnancy management becomes a new challenge for this clinicians. To our knowledge, there are less than three patients with successful pregnancies and deliveries found in the literature with no specific consensus on management or recommendations for HHH syndrome. We reviewed the current literature regarding pregnancy outcomes, combine it with our experience managing a patient through two successful pregnancies and identify a new concern of fetal intrauterine growth restriction. From this, recommendations for pregnancy management are made, including a detailed protocol for clinicians to use for disease management at delivery and in the post-partum period.

Indexed as

HHH syndromeinborn error of metabolismintrauterine growth restrictionOrnithine transporterpregnancyurea cycle disorder

Identifiers

PMID31240152
PMCPMC6498866

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.