Evidence map›Paper›PMID 33139978›Full record

ReviewIntractable & rare diseases research2020

Recent advances in the epidemiology and genetics of acute intermittent porphyria.

Liyan Ma, Yu Tian, Chenxing Peng, Yiran Zhang, Songyun Zhang

Open access · diamondAbstract readReview
In one paragraph

Review in Intractable & rare diseases research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
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  9. NovelWorld journal of clinical cases · 2022
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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 at 2 institutions in 1 country.

Liyan MaDepartment of Endocrinology, The second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yu TianDepartment of Endocrinology, The second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Chenxing PengDepartment of Endocrinology, The second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Yiran ZhangSchool of First Clinical Medical College, Southern Medical University, Guangzhou, Guangdong, China.
Songyun ZhangDepartment of Endocrinology, The second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
Hebei Medical University · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute intermittent porphyria (AIP) is a dominant inherited disorder with a low penetrance that is caused by mutations in the gene coding for hydroxymethylbilane synthase (HMBS). Information about the epidemiology and molecular genetic features of this rare disorder is crucial to clinical research, and particularly to the evaluation of new treatments. Variations in the prevalence and penetrance of AIP in various studies may due to the different inclusion criteria and methods of assessment. Here, the prevalence and penetrance of AIP are analyzed systematically, and the genetic traits of different populations and findings regarding the genotype-phenotype correlation are summarized. In addition, quite a few studies have indicated that AIP susceptibility was affected by other factors, such as modifying genes. Findings regarding possible modifying genes are documented here, helping to reveal the pathogenesis of and treatments for AIP. The status of research on AIP in China reveals the lack of epidemiological and genetic studies of the Chinese population, a situation that needs to be promptly remedied.

Indexed as

acute intermittent porphyriagenetic traitsgenotype-phenotype correlationmodifying genespenetranceprevalence

Identifiers

PMID33139978
PMCPMC7586877
OpenAlexW3049135790

What OpenQuestion holds

Textmetadata
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.