Evidence map›Paper›PMID 38003852›Full record

ArticleJournal of personalized medicine2023

A Preliminary Study on the Meaning of Inflammatory Indexes in MS: A Neda-Based Approach.

Sena Destan Bunul, Aybala Neslihan Alagoz, Bilge Piri Cinar, Fatih Bunul, Seyma Erdogan, Husnu Efendi

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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 3 institutions in 1 country.

Sena Destan BunulDepartment of Neurology, Faculty of Medicine, Kocaeli University, Kocaeli 4100, Turkey.ORCID 0000-0003-4999-2787
Aybala Neslihan AlagozDepartment of Neurology, Faculty of Medicine, Kocaeli University, Kocaeli 4100, Turkey.
Bilge Piri CinarDepartment of Neurology, Faculty of Medicine, Samsun University, Samsun 5500, Turkey.
Fatih BunulInternal Medicine, Anadolu Medical Center, Kocaeli 4100, Turkey.
Seyma ErdoganDepartment of Neurology, Faculty of Medicine, Kocaeli University, Kocaeli 4100, Turkey.
Husnu EfendiDepartment of Neurology, Faculty of Medicine, Kocaeli University, Kocaeli 4100, Turkey.ORCID 0000-0002-9143-3893
Kocaeli Üniversitesi · TRAnadolu University · TRSamsun University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple sclerosis (MS) is a disease of the central nervous system characterized by inflammation, demyelination, and axonal degeneration. This study aimed to investigate the relationship between inflammatory indexes and MS disease activity and progression.

methodsA prospective cohort study was conducted at the Kocaeli University Neurology Clinic, involving 108 patients diagnosed with MS. Data related to patient demographics, clinical presentations, radiological findings, and laboratory results were recorded. Inflammatory markers such as NLR (neutrophil-to-lymphocyte ratio), PLR (platelet-to-lymphocyte ratio), MLR (monocyte-to-lymphocyte ratio), and indexes such as SII (systemic immune inflammation index), SIRI (systemic immune response index), and AISI (systemic total aggregation index) were examined to determine their correlation with MS disease activity and disability. When assessing the influence of SII, AISI, and SIRI in predicting NEDA, it was found that all three indexes significantly predict NEDA. All indexes demonstrated a significant relationship with the EDSS score. Notably, SII, SIRI, and AISI were significant predictors of NEDA, and all inflammatory indexes showed a strong intercorrelation. This study investigates the role of inflammation markers in MS patients. It suggests that one or more of these non-invasive, straightforward, and practical markers could complement clinical and radiological parameters in monitoring MS.

Indexed as

biomarkersinflammationmultiple sclerosis

Identifiers

PMID38003852
PMCPMC10672718
OpenAlexW4387957838

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.