Evidence map›Paper›PMID 37321834›Full record

SynthesisJournal of medical genetics2023

Genotype-phenotype associations in Alström syndrome: a systematic review and meta-analysis.

Brais Bea-Mascato, Diana Valverde

Open access · hybridAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Journal of medical genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Case Report: Identification of two novelFrontiers in genetics · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Diseases of the primary cilia: a clinical characteristics review.Pediatric nephrology (Berlin, Germany) · 2025
    Review
  12. Monogenic diabetes.Diabetology international · 2024
    Review
  13. Obesity-Related Ciliopathies: Focus on Advances of Biomarkers.International journal of molecular sciences · 2024
    Review
  14. Article
  15. Review
  16. 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.

Brais Bea-MascatoCINBIO, Universidad de Vigo, 36310 Vigo, Spain.ORCID 0000-0003-1588-2897
Diana ValverdeCINBIO, Universidad de Vigo, 36310 Vigo, Spain dianaval@uvigo.es.
Galicia Sur Biomedical Foundation · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlström syndrome (ALMS; #203800) is an ultrarare monogenic recessive disease. This syndrome is associated with variants in the

methodsIn this study we collected all cases of ALMS published to date. We created a database of patients who had a genetic diagnosis and an individualised clinical history. Lastly, we attempted to establish a genotype-phenotype correlation using the truncation site of the patient's longest allele as a grouping criteria.

resultsWe collected a total of 357 patients, of whom 227 had complete clinical information, complete genetic diagnosis and meta-information on sex and age. We have seen that there are five variants with high frequency, with p.(Arg2722Ter) being the most common variant, with 28 alleles. No gender differences in disease progression were detected. Finally, truncating variants in exon 10 seem to be correlated with a higher prevalence of liver disorders in patients with ALMS.

conclusionPathogenic variants in exon 10 of the

Indexed as

Alstrom SyndromeCell Cycle ProteinsExonsGenetic Association StudiesHumansPhenotypeCell Cycle ProteinsALMS, Alström's syndromeciliopathygenotype-phenotypeMeta-analysismetabolic diseaseobesityrare diseaseretinal disease

Identifiers

PMID37321834
PMCPMC10803979
OpenAlexW4380872832

What OpenQuestion holds

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LicenceCC BY-NC
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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.