Evidence map›Paper›PMID 36359416›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Serum and CSF Biomarkers Predict Active Early Cognitive Decline Rather Than Established Cognitive Impairment at the Moment of RRMS Diagnosis.

Vlad Eugen Tiu, Bogdan Ovidiu Popescu, Iulian Ion Enache, Cristina Tiu, Elena Terecoasa, Cristina Aura Panea

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 4 pooled it
1.6field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 4 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Review
  7. Cognitive impairment in multiple sclerosis: from phenomenology to neurobiological mechanisms.Journal of neural transmission (Vienna, Austria : 1996) · 2024
    Review
  8. Cognitive Impairment in Multiple Sclerosis.Bioengineering (Basel, Switzerland) · 2023
    Review
  9. Article
  10. Review
  11. 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

6 authors at 1 institution in 1 country.

Vlad Eugen TiuNeurology Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0003-4315-9292
Bogdan Ovidiu PopescuNeurology Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0003-4826-2598
Iulian Ion EnacheNeurology Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Cristina TiuNeurology Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0001-8532-6218
Elena TerecoasaNeurology Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.ORCID 0000-0002-6670-7557
Cristina Aura PaneaNeurology Department, "Carol Davila" University of Medicine and Pharmacy, 050474 Bucharest, Romania.
Carol Davila University of Medicine and Pharmacy · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Cognitive impairment (CI) begins early in the evolution of multiple sclerosis (MS) but may only become obvious in the later stages of the disease. Little data is available regarding predictive biomarkers for early, active cognitive decline in relapse remitting MS (RRMS) patients. (2) Methods: 50 RRMS patients in the first 6 months following diagnosis were included. The minimum follow-up was one year. Biomarker samples were collected at baseline, 3-, 6- and 12-month follow-up. Cognitive performance was assessed at baseline and 12-month follow-up; (3) Results: Statistically significant differences were found for patients undergoing active cognitive decline for sNfL z-scores at baseline and 3 months, CSF NfL baseline values, CSF Aβ42 and the Bremso score as well. The logistic regression model based on these 5 variables was statistically significant, χ2(4) = 22.335, p < 0.0001, R2 = 0.671, with a sensitivity of 57.1%, specificity of 97.4%, a positive predictive value of 80% and a negative predictive value of 92.6%. (4) Conclusions: Our study shows that serum biomarkers (adjusted sNfL z-scores at baseline and 3 months) and CSF biomarkers (CSF NfL baseline values, CSF Aβ42), combined with a clinical score (BREMSO), can accurately predict an early cognitive decline for RRMS patients at the moment of diagnosis.

Indexed as

amyloidcognitive declinecognitive impairmentmultiple sclerosisneurofilamentspredictive biomarkersRRMS

Identifiers

PMID36359416
PMCPMC9689215
OpenAlexW4307265639

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.