Evidence map›Paper›PMID 36620807›Full record

ArticleCureus2022

Three Siblings With Woodhouse-Sakati Syndrome: A Case Report of A New Saudi Family.

Omar N Alhuzaim, Mohammad M Ahmad, Suphia M Sherbeeni, Fahad Almotawa, Abdulrahman S Ali, Abdul-Mohsen G Alhejaily

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Cureus, 2022. 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
0.6field-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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
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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

6 authors at 3 institutions in 2 countries.

Omar N AlhuzaimDiabetes and Endocrinology, Obesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, SAU.
Mohammad M AhmadDiabetes and Endocrinology, Obesity, Endocrine and Metabolism Center, King Fahad Medical City, Riyadh, SAU.
Suphia M SherbeeniEndocrinology, Diabetes and Metabolism, Nera Medical Specialist & Day Surgery Center, Riyadh, SAU.
Fahad AlmotawaInternal Medicine, College of Medicine, University of Bisha, Riyadh, SAU.
Abdulrahman S AliNeurology, National Neuroscience Institute, King Fahad Medical City, Riyadh, SAU.
Abdul-Mohsen G AlhejailyOncology, Department of Basic Medical Science, Faculty of Medicine, Academic and Training Affairs, King Fahad Medical City, Riyadh, SAU.
University of Bisha · SADiabetes Australia · AUKing Fahd Medical City · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Woodhouse-Sakati syndrome (WSS) is a rare autosomal recessive multi-system genetic disease caused by loss of function mutations in the DCAF17 gene on chromosome 2q31.1. The disease is characterized by gradual neurologic degeneration and polyendocrinopathy, particularly noteworthy for hypogonadism, beginning in early adolescence. Clinical features show wide variability with no clear genotype-phenotype correlation. The pathophysiology of WSS is unclear at present and no specific treatment is available other than hormone replacement which is administered in the course of individualized symptomatic multidisciplinary care. Genetic testing helps in confirming the diagnosis along with genetic counseling of the patient and family members. Here we report multiple cases of WSS in three siblings from a new Saudi Arabia family who were diagnosed with WSS as a consequence of a common founder mutation in the DCAF17 gene with DNA analysis showing a homozygous single nucleotide frameshift deletion (c.436delC) in exon 4 of the gene.

Indexed as

autosomal recessive genetic disorderdcaf17diabeteshypogonadismomim: 80067woodhouse-sakati syndrome

Identifiers

PMID36620807
PMCPMC9812427
OpenAlexW4311623544

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.