Lysosomal Storage Disorders is a research paper published in Annals of Indian Academy of Neurology (2021). On theSindex it has a DataRank of 0.436. It has been cited 8 times, with 8 citing works in its 1-hop citation network.
Introduction: Lysosomal storage disorders (LSDs) are a heterogeneous group of large molecule inborn errors of metabolism, rather commonly seen by clinician. Objectives: This study aims to highlight the more common type of LSDs, their frequency, clinical spectrum and outcome from Rare disease centre in Rajasthan. Methods: The retrospective data were collected including clinical profile, investigations, screening test and enzyme analysis results. All outcomes were recorded from follow-up clinic. Results: This cohort comprised 65 children with different type of LSDs including 54 males and 11 females. The average age of presentation of the LSD patients was 3.5 years (range 6 months to 13 years). Gaucher disease was the most commonly found LSD (46.1%) followed by mucopolysaccharidosis (35.3%). Common presentations among GD patients were anemia, thrombocytopenia, and abdominal distension due to splenohepatomegaly/hepatomegaly. Among MPS Disorder, MPS type 2 (Hunter syndrome) was the most common (39.1%), followed by MPS type 1(Hurler syndrome) (30%) and MPS type IVA (Morquio syndrome) (17.3%). Non GD non MPS group comprised most commonly of GM1 gangliosidosis followed by pompe disease, Metachromatic Leucodystrophy, Mucolipidosis type II (I cell disease), and Sandhoff disease. Conclusions: LSDs comprises an important group of genetic metabolic disorders. Among these GD are the most common, followed by MPS.
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Base Score Contribution
0.330
From this paper's citation signal
Citation Network Contribution
0.106
From 4 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 76% comes from its base citations and 24% from the citation network (4 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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