Evidence map›Paper›PMID 35249549›Full record

ArticleJournal of medical case reports2022

Hyperammonemia of unknown cause in a young postpartum woman: a case report.

Sadaf Hanif, Sher Muhammad Sethi

Open access · goldAbstract readCase Reports
In one paragraph

Article in Journal of medical case reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

2 authors at 1 institution in 1 country.

Sadaf HanifInternal Medicine and Critical Care, Aga Khan University Hospital, Karachi, Pakistan.
Sher Muhammad SethiResident III, Internal Medicine, Aga Khan University Hospital, Karachi, Pakistan. Sher.sethi@gmail.com.ORCID http://orcid.org/0000-0001-7066-7124
Aga Khan University Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperammonemia is a medical condition described as increased or elevated serum ammonia levels. High serum levels of ammonia can cause neurotoxicity. Sudden onset severe hyperammonemia may cause severe encephalopathy with brain damage. It can result in cerebral edema, emesis, seizures, hypotonia, and death. We report a young postpartum woman who had a sudden rise in serum ammonia levels after vaginal delivery. CASE PRESENTATION: A 24-year-old, married, postpartum Pakistani woman was admitted to the intensive care unit through the emergency department, with complaints of fever, severe abdominal pain with distension, and altered levels of consciousness. The patient had a medical history of spontaneous vaginal delivery 2 weeks before this hospital admission, after which she gradually developed the above symptoms. However, the patient's past medical history was unremarkable with no hepatic disease, but her investigations revealed a progressive rise in serum ammonia levels. In the intensive care unit, she developed generalized tonic-clonic seizures. This was followed by a coma, tonsillar herniation, and death.

conclusionPostpartum hyperammonemia is a rare entity. It is a critical illness and must be evaluated for underlying metabolic disorders. Early diagnosis and treatment may result in better outcomes and reduced mortality among postpartum women with hyperammonemia.

Indexed as

HyperammonemiaOrnithine Carbamoyltransferase Deficiency DiseaseUrea Cycle Disorders, InbornAdultComaFemaleHumansPostpartum PeriodYoung AdultAmmoniaHyperammonemiaOrnithine carbamoyltransferaseUrea cycle disorder

Identifiers

PMID35249549
PMCPMC8900310
OpenAlexW4221124676

What OpenQuestion holds

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LicenceCC BY
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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.