Evidence map›Paper›PMID 34105018›Full record

ArticleNeurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology2022

Cognitive trajectories in multiple sclerosis: a long-term follow-up study.

Antonio Carotenuto, Teresa Costabile, Giuseppe Pontillo, Moccia Moccia, Fabrizia Falco, Maria Petracca, Martina Petruzzo, Cinzia Valeria Russo, Martina Di Stasi, Chiara Paolella and 7 more

Abstract read
In one paragraph

Article in Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

17 authors.

Antonio CarotenutoDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy. carotenuto.antonio87@gmail.com.ORCID http://orcid.org/0000-0002-1574-9693
Teresa CostabileDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Giuseppe PontilloDepartment of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Moccia MocciaDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Fabrizia FalcoDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Maria PetraccaDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Martina PetruzzoDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Cinzia Valeria RussoDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Martina Di StasiDepartment of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Chiara PaolellaDepartment of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Teresa PerilloDepartment of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Elena Augusta VolaDepartment of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Maria Brunella CipulloDepartment of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Sirio CocozzaDepartment of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Roberta LanzilloDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Vincenzo Brescia MorraDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.
Francesco SaccàDepartment of Neurosciences, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCognitive impairment occurs in multiple sclerosis (MS) and undergoes a progressive worsening over disease course. However, clinicians still struggle to predict the course of cognitive function. To evaluate baseline clinical and imaging predictors of cognitive abilities worsening over time, we performed a latent trajectory analysis for cognitive performances in MS patients, up to 15 years from disease onset.

methodsWe collected age, sex, education, dominant and non-dominant 9-hole peg test (9HP) and timed 25-foot walk (T25-FW) as well as MRI measures (grey matter volume and lesion load) within 6 months from disease diagnosis for relapsing-remitting MS (RR-MS) patients. At diagnosis and over the follow-up, we also assessed cognitive status through the symbol digit modalities test (SDMT). Cognitive impairment was defined by applying age-, gender- and education-adjusted normative values. Group-based trajectory analysis was performed to determine trajectories, and the predictive value of clinical and imaging variables at baseline was assessed through multinomial logistic regression.

resultsWe included 148 RR-MS (98 females and 50 males). Over 11 ± 4 year follow-up, 51.4% remained cognitively stable whereas 48.6% cognitively worsened. Cognitively worsening patients had a higher T25FW time (p = 0.004) and a reduced hippocampal volume at baseline (p = 0.04).

conclusionPhysical disability as well as hippocampal atrophy might depict patients at risk of cognitive worsening over the disease course. Therefore, using such predictors, clinicians may select patients to carefully evaluate for cognitive impairment as to eventually introduce cognitive rehabilitation treatments.

Indexed as

Multiple SclerosisMultiple Sclerosis, Relapsing-RemittingAtrophyCognitionFemaleFollow-Up StudiesHumansInfantMagnetic Resonance ImagingMaleNeuropsychological TestsBiomarkersCognitive dysfunctionDisability predictorsHippocampusLongitudinal data analysisMagnetic resonance imaging

Identifiers

PMID34105018
PMCPMC8789689

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.