Evidence map›Paper›PMID 39711536›Full record

ArticleResearch square2024

Recommendations for recognizing and diagnosing Acute Hepatic Porphyria in atypical patient populations.

Katharina Schmolly, Vivek Rudrapatna, Simon Beaven

Abstract readPreprint
In one paragraph

Article in Research square, 2024. 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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Katharina SchmollyUniversity of California Los Angeles David Geffen School of Medicine.ORCID 0000-0002-6034-5620
Vivek RudrapatnaUniversity of California San Francisco.
Simon BeavenUniversity of California Los Angeles.

Funding

NRSA Training CoreTL1TR001883 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ALEX BUI, Nina Thawata Harawa · 2016 to 2026
$8.6M
A data science framework for transforming electronic health records into real-world evidenceK99LM014099 · NLM · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RUDRAPATNA, VIVEK ASHOK · 2023 to 2024
$178k
NCATS NIH HHS TL1 TR001883NLM NIH HHS K99 LM014099
6 · The paper itself

Abstract

Background: Acute Hepatic Porphyria is a group of four rare genetic but treatable diseases that often go undiagnosed due to its non-specific symptoms, under-recognition of the condition by clinicians, and the lack of access to specialists and appropriate testing. This case-control study investigates the phenotypic and demographic patterns in Acute Hepatic Porphyria (AHP) patients at a tertiary care center (University of California Los Angeles) to update recommendations for recognition and diagnosis of this disease in our community. Method: A retrospective chart analysis was conducted on 45 patients who were evaluated for AHP, Electronic Medical Record (EMR) data was collected and analyzed to investigate clinical differences and correlations. Results: 27 patients tested positive for AHP through urinary metabolites and confirmatory genetic testing and 18 patients tested negative; of those, 16 patients received a definite alternative diagnosis. Hashimoto's, T1DM (Type 1 Diabetes Mellitus), Fibromyalgia and cannabinoid use with cyclic vomiting syndrome were negatively correlated with AHP, while psychiatric disorders and OBGYN disorders were positively correlated with AHP. The highest rate of diagnosis resulted from a combination of genetic and biochemical testing. Testing outside of an acute attack was not associated with a positive diagnosis. Conclusions: Patients with a history of OBGYN disorders and psychiatric disorders may be at increased risk of having AHP, yet there is a lack of involvement of these specialties in the diagnosis and care of AHP, in addition to a lack of studies investigating AHP in non-white populations potentially leading to reduced recognition of AHP.

Indexed as

Acute Hepatic Porphyriaclinical manifestationsDiagnostic delaysRare disease diagnosisUnderdiagnosis

Identifiers

PMID39711536
PMCPMC11661304

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.