Evidence map›Paper›PMID 30721354›Full record

ArticleJournal of neurology2019

Six-minute walk test is reliable and sensitive in detecting response to therapy in CIDP.

Emanuele Spina, Antonietta Topa, Rosa Iodice, Stefano Tozza, Lucia Ruggiero, Raffaele Dubbioso, Marcello Esposito, Pasquale Dolce, Lucio Santoro, Fiore Manganelli

Abstract read
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In one paragraph

Article in Journal of neurology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 21% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
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  7. How to manage with telemedicine people with neuromuscular diseases?Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2021
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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 2 institutions in 1 country.

Emanuele SpinaDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy. ema.spina@libero.it.ORCID http://orcid.org/0000-0001-5123-2459
Antonietta TopaDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy.
Rosa IodiceDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy.
Stefano TozzaDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy.
Lucia RuggieroDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy.
Raffaele DubbiosoDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy.
Marcello EspositoDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy.
Pasquale DolceDepartment of Public Health, University of Naples " Federico II ", Naples, Italy.
Lucio SantoroDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy.
Fiore ManganelliDepartment of Neurosciences, Odontostomatology and Reproductive Sciences, University of Naples " Federico II ", Via Pansini, 5, 81025, Naples, Italy. fiore.manganelli@unina.it.
University of Naples Federico II · ITFederico II University Hospital · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe current clinical measures (ONLS, R-ODS, mRS, and MRC) may not be so sensitive in capturing minimal variations or measuring fatigue in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP). Our aim was to assess if 6-min walk test (6MWT) is able to increase the sensitivity in detecting response to therapy and to capture fatigue in CIDP patients.

methodsWe tested 6MWT in 42 CIDP patients. Using both anchor-based and distribution-based approaches, we estimated the meaningful clinical change after therapy by calculating the minimum improvement cutoff (Minimal Clinically Important Difference Score-MCID) required for considering a patient as responder. We calculated the sensitivity of the 6MWT versus the other clinical outcomes. We analysed fatigue by comparing the velocities between first and sixth minutes of the 6MWT and the effect of treatment on fatigue using an ANOVA model for repeated measures.

resultsMCID resulted equal to 20 m. The combination of 6MWT-MCID cutoff with the other clinical measures led to identify 74% of responders. The sensitivity of the 6MWT was 90% versus 77% of the other clinical measures. The 6MWT was also sensitive in capturing fatigue-related changes, even though fatigue was not influenced by treatment.

conclusionsThe combination of the 6MWT with the other clinical measures increased the chance to detect the quote of responders. We propose to include the 6MWT in the routine assessment of CIDP patients and the MCID cutoff at 20 m could be set for identifying the responders and properly guiding the therapy management.

Indexed as

Walk TestFatigueFemaleFollow-Up StudiesHumansLinear ModelsMaleMiddle AgedPolyradiculoneuropathy, Chronic Inflammatory DemyelinatingProspective StudiesReproducibility of ResultsSensitivity and SpecificityTreatment OutcomeWalking6MWTCIDPFatigueMCID

Identifiers

PMID30721354
OpenAlexW2913513778

What OpenQuestion holds

Textmetadata
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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.