Evidence map›Paper›PMID 38716751›Full record

ArticleEuropean journal of neurology2024

Use of the combination of spirometry, arterial blood gas analysis and overnight oximetry to predict the outcomes of patients affected by motor neuron disease: The Milan-Torin respiratory score (Mi-To-RS).

Paride Schito, Umberto Manera, Tommaso Russo, George Cremona, Elisa Riboldi, Andrea Tettamanti, Federica Agosta, Angelo Quattrini, Adriano Chiò, Massimo Filippi and 2 more

Abstract read
In one paragraph

Article in European journal of neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Longitudinal CSF and Serum Biomarker Dynamics in Tofersen-TreatedInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Article
  5. 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

12 authors.

Paride SchitoNeurorehabilitation, Neurology Unit and Neurophysiology Unit, San Raffaele Scientific Institute, Milan, Italy.
Umberto Manera"Rita Levi Montalcini" Department of Neuroscience, ALS Centre, University of Turin, Torino, Italy.ORCID 0000-0002-9995-8133
Tommaso RussoNeurorehabilitation, Neurology Unit and Neurophysiology Unit, San Raffaele Scientific Institute, Milan, Italy.
George CremonaUnit of Respiratory Medicine, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Elisa RiboldiDepartment of Rehabilitation and Functional Recovery, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Andrea TettamantiDepartment of Rehabilitation and Functional Recovery, IRCCS San Raffaele Scientific Institute, Milan, Italy.
Federica AgostaNeuroimaging Research Unit, Division of Neuroscience, Institute of Experimental Neurology, San Raffaele Scientific Institute, Milan, Italy.
Angelo QuattriniExperimental Neuropathology Unit, Division of Neuroscience, Institute of Experimental Neurology (INSPE), San Raffaele Scientific Institute, Milan, Italy.
Adriano Chiò"Rita Levi Montalcini" Department of Neuroscience, ALS Centre, University of Turin, Torino, Italy.
Massimo FilippiNeurorehabilitation, Neurology Unit and Neurophysiology Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-5485-0479
Andrea Calvo"Rita Levi Montalcini" Department of Neuroscience, ALS Centre, University of Turin, Torino, Italy.ORCID 0000-0002-5122-7243
Nilo RivaNeurorehabilitation, Neurology Unit and Neurophysiology Unit, San Raffaele Scientific Institute, Milan, Italy.ORCID 0000-0002-0513-9517

Funding

Giovanni Marazzina Foundation
6 · The paper itself

Abstract

background and purposeThe use of multiple tests, including spirometry, arterial blood gas (ABG) analysis and overnight oximetry (OvOx), is highly recommended to monitor the respiratory function of patients with motor neuron disease (MND). In this study, we propose a composite score to simplify the respiratory management of MND patients and better stratify their prognosis. MATERIALS AND

methodsWe screened the clinical charts of 471 non-ventilated MND patients referred to the Neuro-rehabilitation Unit of the San Raffaele Scientific Institute of Milan (January 2001-December 2019), collecting spirometric, ABG and OvOx parameters. To evaluate the prognostic role of each measurement, univariate Cox regression for death/tracheostomy was performed, and the variables associated with survival were selected to design a scoring system. Univariate and multivariate Cox regression analyses were then carried out to evaluate the prognostic role of the score. Finally, results were replicated in an independent cohort from the Turin ALS Center.

resultsThe study population included 450 patients. Six measurements were found to be significantly associated with survival and were selected to design a scoring system (maximum score = 8 points). Kaplan-Meier analysis showed significant stratification of survival and time to non-invasive mechanical ventilation adaptation according to score values, and multivariate analysis confirmed the independent effect of the respiratory score on survival of each cohort.

conclusionForced vital capacity, ABG and OvOx parameters provide complementary information for the respiratory management and prognosis of MND patients and the combination of these parameters into a single score might help neurologists predict prognosis and guide decisions on the timing of the implementation of different diagnostic or therapeutic approaches.

Indexed as

Blood Gas AnalysisMotor Neuron DiseaseOximetrySpirometryAdultAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesALSamyotrophic lateral sclerosisblood gas analysisneuromuscular diseasesNIMVnon‐invasive ventilationprognosisrespiratory failurespirometry

Identifiers

PMID38716751
PMCPMC11235821

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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.