Evidence map›Paper›PMID 20049528›Full record

ArticleJournal of inherited metabolic disease2010

Disease severity in sibling pairs with type 1 Gaucher disease.

Deborah Elstein, Ayelet Gellman, Gheona Altarescu, Aya Abrahamov, Irith Hadas-Halpern, Mici Phillips, Maya Margalit, Ehud Lebel, Menachem Itzchaki, Ari Zimran

Abstract read
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In one paragraph

Article in Journal of inherited metabolic disease, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Aortic calcification in Gaucher disease: a case report.The application of clinical genetics · 2018
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  5. Review
  6. 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

10 authors at 1 institution in 1 country.

Deborah ElsteinGaucher Clinic, Shaare Zedek Medical Center, Jerusalem, Israel. elstein@szmc.org.il
Ayelet Gellman
Gheona Altarescu
Aya Abrahamov
Irith Hadas-Halpern
Mici Phillips
Maya Margalit
Ehud Lebel
Menachem Itzchaki
Ari Zimran
Shaare Zedek Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The only prognostic markers in Gaucher disease, the most common lysosomal storage disorder, are young age at first symptom/sign and the presence of null/severe mutations, both being predictive of more severe phenotypes. Therefore, it would be helpful to know whether siblings with the same genotype can be expected to experience comparable phenotypic expression. All non-neuronopathic sibling pairs in our referral clinic (1993-2008) with the same genotype were included. For each pair, gender, date of birth, severity score index at presentation, age at diagnosis and first symptom/sign, presence of bone involvement, spleen status, and use of enzyme replacement therapy were tabulated. There were 90 pairs of siblings: two sets of identical twins; 24 pairs of brothers, 24 pairs of sisters, and 42 pairs of mixed gender. For all measures of disease severity used, only in sibling pairs with an older sister and a younger brother were phenotypes significantly different between siblings. Thus, this large cohort of sibling pairs with type 1 Gaucher disease confirmed that, in general, the phenotypic expression in the younger sibling will be similar enough to that of an older affected sibling that genetic counseling may use those findings in a prognostic way.

Indexed as

AdolescentAdultChildDiseases in TwinsFamily HealthFemaleGaucher DiseaseGenetic CounselingGenotypeHumansMalePhenotypePrognosisSex FactorsSiblings

Identifiers

PMID20049528
OpenAlexW2084497871

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.