Evidence map›Paper›PMID 37735638›Full record

SynthesisBMC neurology2023

Neutrophil to lymphocyte ratio in parkinson's disease: a systematic review and meta-analysis.

Samaneh Hosseini, Nasim Shafiabadi, Monireh Khanzadeh, Arshin Ghaedi, Raziyeh Ghorbanzadeh, Amir Azarhomayoun, Aida Bazrgar, Jalil Pezeshki, Hanieh Bazrafshan, Shokoufeh Khanzadeh

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
6.6field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Baseline peripheral inflammatory profiles predict phenoconversion in prodromal Parkinson's disease: a longitudinal cohort study.Clinical autonomic research : official journal of the Clinical Autonomic Research Society · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Constipation Is Linked to Neuroinflammation in Early Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2026
    Article
  8. Review
  9. Observational
  10. Article
  11. Article
  12. Review
  13. [Advancement in neutrophil-based drug delivery systems].Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Early diagnosis of Parkinson's disease: biomarker study.Frontiers in aging neuroscience · 2025
    Review
  19. Article
  20. 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

10 authors at 6 institutions in 1 country.

Samaneh HosseiniNeurosciences Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Nasim ShafiabadiMashhad University of Medical Sciences, Mashhad, Iran.
Monireh KhanzadehGeriatric & Gerontology Department, Medical School, Tehran University of medical and health sciences, Tehran, Iran.
Arshin GhaediStudent Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Raziyeh GhorbanzadehDepartment of Psychiatry, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Amir AzarhomayounSina trauma and surgery research center, Tehran University of medical sciences, Tehran, Iran.
Aida BazrgarStudent Research Committee, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Jalil PezeshkiShiraz University of Medical Sciences, Shiraz, Iran.
Hanieh BazrafshanClinical Neurology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.
Shokoufeh KhanzadehTabriz University of Medical Sciences, Tabriz, Iran. khshokufe7@gmail.com.
Shiraz University of Medical Sciences · IRTabriz University of Medical Sciences · IRIran University of Medical Sciences · IRMashhad University of Medical Sciences · IRTehran University of Medical Sciences · IRUniversity of Tehran · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe goal of this research was to explore the role of Neutrophil to lymphocyte ratio (NLR) in Parkinson's disease (PD).

methodsFrom inception to 4 June 2023, PubMed, Web of Science, and ProQuest were searched for papers comparing NLR in PD to healthy individuals. Standardized mean difference (SMD) with a confidence interval (CI) of 95% were calculated.

resultsA random-effect model revealed that PD patients had elevated NLR values compared to healthy individuals (SMD = 0.81, 95% CI = 0.47 to 1.14, P < 0.001). The results of subgroup analysis were as follows: (1) study design: We observed that patients with PD had higher levels of NLR than healthy controls in either retrospective (SMD = 1.12, 95% CI = 0.58 to 1.66, P < 0.001) or prospective (SMD = 0.43, 95% CI = 0.18 to 0.68, P = 0.001) studies. (2) Ethnicity: We noticed that individuals with PD had higher levels of NLR than healthy controls, whether they were East Asian (SMD = 0.93, 95% CI = 0.22 to 1.63, P = 0.010) or Caucasian (SMD = 0.75, 95% CI = 0.40 to 1.10, P < 0.001).The pooled sensitivity of NLR in the prediction of PD was 0.67 (95% CI = 0.61-0.73), and the pooled specificity was 0.66 (95% CI, 0.61-0.70).

conclusionsIncreased levels of NLR is highly related with the presence of PD. Further research is needed to determine the potential clinical benefits of this simple and low-cost biomarker in the PD diagnosis.

Indexed as

NeutrophilsParkinson DiseaseHumansLymphocytesProspective StudiesRetrospective StudiesMeta-analysisNeutrophil to lymphocyte ratioNLRParkinson’s disease

Identifiers

PMID37735638
PMCPMC10512499
OpenAlexW4386934405

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.