Evidence map›Paper›PMID 37109175›Full record

ArticleJournal of clinical medicine2023

Effectiveness of Nusinersen in Type 1, 2 and 3 Spinal Muscular Atrophy: Croatian Real-World Data.

Andrej Belančić, Tea Strbad, Marta Kučan Štiglić, Dinko Vitezić

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

23 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Observational
  7. Review
  8. Article
  9. Cerebrospinal fluid metabolomics reveals predictive biomarkers of nusinersen therapy efficacy in type II and type III spinal muscular atrophy patients.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
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  10. Review
  11. Article
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  16. Observational
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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.

Andrej BelančićDepartment of Clinical Pharmacology, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0001-7848-6600
Tea StrbadCroatian Health Insurance Fund, 10000 Zagreb, Croatia.ORCID 0009-0001-6764-3436
Marta Kučan ŠtiglićPrimorje-Gorski Kotar County Community Health Centre, 51000 Rijeka, Croatia.
Dinko VitezićDepartment of Clinical Pharmacology, Clinical Hospital Centre Rijeka, 51000 Rijeka, Croatia.ORCID 0000-0002-6295-6580

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: To investigate the real-world effectiveness and safety profile of nusinersen in Croatian paediatric and adult spinal muscular atrophy (SMA) patients. (2) Methods: A retrospective and anonymous collection of relevant demographic and clinical data for all Croatian SMA patients treated with nusinersen and reimbursed by the Croatian Health Insurance Fund (CHIF) between April 2018 and February 2022 was performed through searching the CHIF database and studying the associated reimbursement documentation. All patients who received at least one dose of nusinersen were included in the baseline clinical-demographic overview and safety analysis, whereas only subjects who had completed six doses were included in the effectiveness analysis. (3) Results: Fifty-two patients [61.5% male; median age 13.4 (0.1-51.1) yr.] received nusinersen treatment. In SMA type 1 and type 3 paediatric patients, statistically significant motor function improvement (CHOP INTEND 10.8 ± 10.3 vs. 20.0 ± 15.8,

Indexed as

effectivenessmotor functionnusinersenreal-world dataspinal muscular atrophy

Identifiers

PMID37109175
PMCPMC10142582

What OpenQuestion holds

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Registered trials

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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.