Evidence map›Paper›PMID 30181753›Full record

ArticleJournal of research in medical sciences : the official journal of Isfahan University of Medical Sciences2018

Serum levels of serotonin as a biomarker of newly diagnosed fibromyalgia in women: Its relation to the platelet indices.

Marwan S M Al-Nimer, Talar A Merza Mohammad, Riyadh A Alsakeni

Open access · goldAbstract read
In one paragraph

Article in Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
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  9. Review
  10. Article
  11. Novel Approaches in Molecular Imaging and Neuroimaging of Fibromyalgia.International journal of molecular sciences · 2022
    Review
  12. Review
  13. Observational
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

3 authors at 2 institutions in 1 country.

Marwan S M Al-NimerDepartment of Pharmacology and Toxicology, College of Pharmacy, Hawler Medical University, Erbil, Iraq.
Talar A Merza MohammadDepartment of Pharmacology and Toxicology, College of Pharmacy, Hawler Medical University, Erbil, Iraq.
Riyadh A AlsakeniDepartment of Medicine, College of Medicine, Al-Mustansiriya University, Baghdad, Iraq.
Hawler Medical University · IQMustansiriyah University · IQ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed to assess the serum serotonin levels in the newly diagnosed fibromyalgia (FM) and to relate these levels to the presenting signs and symptoms. MATERIALS AND

methodsThis case-control study included 35 healthy women (Group I) served as controls and 130 women with newly diagnosed FM (Group II). The diagnosis of FM was confirmed by the diagnostic criteria of the American College of Rheumatology-10. The assessment of pain using a revised fibromyalgia impact questionnaire and tender points scoring, blood platelet indices, and serum serotonin levels were determined.

resultsGroup II patients had significantly (

conclusionNewly diagnosed FM women have significantly low-serum serotonin levels, which does not correlate with a significant increment of the platelet activity expressed as increase MPV and platelet width distribution percentage. Therefore, this study highlighted that the correction of serum serotonin level by medicines could help the patients.

Indexed as

Fibromyalgiamean platelet volumeplatelet activationserotonin

Identifiers

PMID30181753
PMCPMC6116663
OpenAlexW2888624236

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.