Evidence map›Paper›PMID 33422028›Full record

ArticleBMC endocrine disorders2021

A novel GNAS mutation in pseudohypoparathyroidism type 1a in a Chinese man presented with recurrent seizure: a case report.

Difei Lu, Aimei Dong, Junqing Zhang, Xiaohui Guo

Open access · goldAbstract readCase Reports
In one paragraph

Article in BMC endocrine disorders, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. International journal of molecular sciences · 2024
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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

4 authors at 2 institutions in 1 country.

Difei LuDepartment of Endocrinology, Peking University First Hospital, Beijing, China.
Aimei DongDepartment of Endocrinology, Peking University First Hospital, Beijing, China. dongaimei1975@sina.com.
Junqing ZhangDepartment of Endocrinology, Peking University First Hospital, Beijing, China.
Xiaohui GuoDepartment of Endocrinology, Peking University First Hospital, Beijing, China.
Peking University · CNPeking University First Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPseudohypoparathyroidism is a rare genetic disease characterized by hypocalcaemia and hyperphosphataemia due to the defect to the guanine nucleotide-binding protein alpha subunit (GNAS) gene. Patients with pseudoparathyroidism type 1a and 1c could manifest Albright's hereditary osteodystrophy and multiple hormone resistance including gonadotropin and thyroid stimulating hormone. CASE PRESENTATION: Here we report a Chinese man who presented with fatigue, recurrent seizure and Albright's hereditary osteodystrophy. His genetic study revealed a heterozygote mutation in the GNAS gene [NM_000516.4(GNAS): c2787_2788del (p.Val930AspfsTer12)]. After calcium and calcitriol supplement, his seizures achieved partially remission.

conclusionsWe report a case of PHP1a or 1c with a novel frameshift mutation in GNAS gene in a patient presenting with AHO, as well as TSH and partial gonadotropin resistance. This mutation in this case has not been reported in literature and adds to the spectrum of genetic mutations related to PHP.

Indexed as

AdultAsian PeopleCalcitriolCalciumChromograninsDietary SupplementsFibrous Dysplasia, PolyostoticFrameshift MutationGTP-Binding Protein alpha Subunits, GsHormonesHumansMaleMutationPseudohypoparathyroidismRecurrenceSeizuresCalcitriolCalciumChromograninsGNAS protein, humanGTP-Binding Protein alpha Subunits, GsHormonesThyrotropinCase reportGNAS geneNovel mutationPseudohypoparathyroidism

Identifiers

PMID33422028
PMCPMC7796383
OpenAlexW3121088596

What OpenQuestion holds

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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.