Evidence map›Paper›PMID 39987313›Full record

ArticleScientific reports2025

Multiple respiratory assessment and thresholds for noninvasive ventilation in adult patients with spinal muscular atrophy.

Grazia Crescimanno, Antonino Lupica, Vito Tomasello, Vincenzo Di Stefano, Filippo Brighina, Oreste Marrone

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Grazia CrescimannoNational Research Council, Institute of Biomedical Research and Innovation (IRIB-CNR), Palermo, Italy. grazia.crescimanno@irib.cnr.it.
Antonino LupicaRegional Centre for Diagnosis and Treatment of Neuromuscular Disease, Department of Biomedicine, Neuroscience and Advanced Diagnostic (BIND), University of Palermo, Palermo, Italy.
Vito TomaselloRegional Centre for Diagnosis and Treatment of Neuromuscular Disease, Department of Biomedicine, Neuroscience and Advanced Diagnostic (BIND), University of Palermo, Palermo, Italy.
Vincenzo Di StefanoRegional Centre for Diagnosis and Treatment of Neuromuscular Disease, Department of Biomedicine, Neuroscience and Advanced Diagnostic (BIND), University of Palermo, Palermo, Italy.
Filippo BrighinaRegional Centre for Diagnosis and Treatment of Neuromuscular Disease, Department of Biomedicine, Neuroscience and Advanced Diagnostic (BIND), University of Palermo, Palermo, Italy.
Oreste MarroneNational Research Council, Institute of Biomedical Research and Innovation (IRIB-CNR), Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to examine feasibility of inspiratory muscle strength tests, such as maximal inspiratory pressure (MIP) and sniff nasal inspiratory pressure (SNIP) in adult patients affected by spinal muscular atrophy (SMA), as well as their ability, along with forced vital capacity (FVC), to predict noninvasive ventilation (NIV) needs. Additionally, we evaluated feasibility and effectiveness of respiratory oscillometric measurements in the same patients. Twenty patients were retrospectively evaluated. NIV requirement was considered as peak nocturnal transcutaneous PCO

Indexed as

Muscular Atrophy, SpinalNoninvasive VentilationAdultFemaleHumansMaleMiddle AgedRespiratory Function TestsRespiratory MusclesRetrospective StudiesROC CurveVital CapacityYoung AdultForced Oscillation techniqueNoninvasive ventilationRespiratory functionSniff nasal pressureSpinal muscular atrophy

Identifiers

PMID39987313
PMCPMC11846990

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.