Evidence map›Paper›PMID 34373345›Full record

ArticleNeurology(R) neuroimmunology & neuroinflammation2021

Prognostic Accuracy of NEDA-3 in Long-term Outcomes of Multiple Sclerosis.

Luca Prosperini, Serena Ruggieri, Shalom Haggiag, Carla Tortorella, Carlo Pozzilli, Claudio Gasperini

Open access · goldAbstract read
In one paragraph

Article in Neurology(R) neuroimmunology & neuroinflammation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 4 pooled it
5.8field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 4 syntheses or guidelines pooled it, 60 citations in OpenAlex.

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  8. Refining predictors of long-term NEDA-3 status in relapsing-remitting multiple sclerosis: insights from real-world data.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
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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

6 authors at 1 institution in 1 country.

Luca ProsperiniFrom the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy. luca.prosperini@gmail.com.ORCID 0000-0003-3237-6267
Serena RuggieriFrom the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy.ORCID 0000-0001-5287-3290
Shalom HaggiagFrom the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy.
Carla TortorellaFrom the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy.
Carlo PozzilliFrom the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy.
Claudio GasperiniFrom the Department of Neurosciences (L.P., S.H., C.T., C.G.), S. Camillo-Forlanini Hospital; Department of Human Neurosciences (S.R., C.P.), Sapienza University; and Neuroimmunology Unit (S.R.), Santa Lucia Foundation, Rome, Italy.
Fondazione Santa Lucia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesTo estimate the proportions of patients with relapsing-remitting multiple sclerosis who despite achieving the no evidence of disease activity-3 (NEDA-3) status in the first 2 treatment years experienced relapse-associated worsening (RAW) or progression independent from relapse activity (PIRA) in the following years.

methodsWe selected patients with NEDA-3-defined as no relapse, no disability worsening, and no MRI activity-in the first 2 years of either glatiramer acetate or interferon beta as initial treatment. We estimated the long-term probability of subsequent RAW and PIRA (considered as 2 contrasting outcomes) by cumulative incidence functions. Competing risk regressions were used to identify the baseline (i.e., at treatment start) predictors of RAW and PIRA.

resultsOf 687 patients, 224 (32.6%) had NEDA-3 in the first 2 treatment years. After a median follow-up time of 12 years from treatment start, 58 patients (26%) experienced disability accrual: 31 (14%) had RAW and 27 (12%) had PIRA. RAW was predicted by the presence of >9 T2 lesions (subdistribution hazard ratio [SHR] = 3.92, DISCUSSION: The adoption of NEDA-3 criteria led to prognostic misclassification in 1 of 4 patients. Different risk factors were associated with RAW and PIRA, suggesting alternative mechanisms for disability accrual. CLASSIFICATION OF EVIDENCE: This study provides Class II evidence that in patients with RRMS who attained NEDA-3 status, subsequent RAW was associated with baseline MRI activity and discontinuation of treatment and PIRA was associated with age and the presence of baseline spinal cord lesions.

Indexed as

Disease ProgressionSeverity of Illness IndexAdultAge FactorsFemaleFollow-Up StudiesHumansImmunologic FactorsMagnetic Resonance ImagingMaleMiddle AgedMultiple Sclerosis, Relapsing-RemittingOutcome Assessment, Health CarePrognosisRetrospective StudiesYoung AdultImmunologic Factors

Identifiers

PMID34373345
PMCPMC8353667
OpenAlexW3192505584

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.