Evidence map›Paper›PMID 22174643›Full record

ReviewInternational journal of molecular sciences2011

Are cerebrospinal fluid biomarkers useful in predicting the prognosis of multiple sclerosis patients?

Alberto Gajofatto, Matilde Bongianni, Gianluigi Zanusso, Maria Donata Benedetti, Salvatore Monaco

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2011. 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.

  1. Review
  2. Article
  3. Article
  4. Neurobehavioral burden of multiple sclerosis with nanotheranostics.Neuropsychiatric disease and treatment · 2015
    Review
  5. Review
  6. Review
  7. 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

5 authors.

Alberto GajofattoSection of Clinical Neurology, Department of Neurological, Neuropsychological, Morphological and Motor Sciences, University of Verona, Verona 37129, Italy; E-Mail: mariadonata.benedetti@ospedaleuniverona.it.
Matilde Bongianni
Gianluigi Zanusso
Maria Donata Benedetti
Salvatore Monaco

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is the prototypical inflammatory demyelinating disorder of the central nervous system (CNS). Although many advances have been made in the comprehension of its pathogenesis, the etiology is still unknown. The complexity of MS reflects in the extreme variability of the clinical manifestations and clinical course both between and within patients, in addition to immunopathological mechanisms and response to treatment. Several prognostic factors have been suggested in large scale studies, but predictions in individual cases are difficult to make. Cerebrospinal fluid (CSF) biomarkers, such as 14-3-3, tau, and cystatin C are promising sources of prognostic information with a good potential of quantitative measure, sensitivity, and reliability. However, none has shown sufficient reproducibility to be applied in clinical practice. Here we review the current literature addressing the above mentioned biomarkers as MS severity predictors at an early stage.

Indexed as

14-3-3 ProteinsBiomarkersCystatin CHumansMultiple SclerosisPrognosistau Proteins14-3-3 ProteinsBiomarkersCystatin Ctau Proteins14-3-3 proteinbiomarkerscystatin Cmultiple sclerosistau protein

Identifiers

PMID22174643
PMCPMC3233449

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.