Evidence map›Paper›PMID 41328059›Full record

ReviewJournal of inflammation research2025

Advancing Gouty Arthritis Research: The Clinical Value of Complete Blood Cell Count Ratios and Immune-Inflammatory Interactions.

Luyuan Gao, Chunping Liu, Guancheng Ye, Yingkai Gao, Hailong Wang

Abstract readReview
In one paragraph

Review in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Luyuan Gao *Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.ORCID 0009-0004-4487-4364
Chunping Liu *Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Guancheng Ye *Department of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.ORCID 0009-0007-4105-424X
Yingkai GaoDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Hailong WangDepartment of Rheumatology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gouty arthritis (GA) is an inflammatory condition resulting from the accumulation of monosodium urate (MSU) crystals in joints and adjacent tissues, with its pathogenesis characterized by a complex immune-inflammatory response. The complete blood cell count ratios (CBCRs), which include the neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammatory index (SII), and systemic inflammatory response index (SIRI), serve as composite indicators of inflammation. These ratios integrate hematopoietic cell subsets that reflect interactions between innate and adaptive immunity, thereby providing a more comprehensive assessment of the intricate immune-inflammatory network in GA. Additionally, they offer practical benefits due to their accessibility in routine clinical settings. This narrative review consolidates the current research on CBCRs in the context of GA, offering an overview of their clinical significance and potential molecular pathological mechanisms. The aim is to provide new insights and evidence-based references for both clinical practice and translational research.

Indexed as

biomarkersgouty arthritisimmune-inflammatory responsemonocyte-to-lymphocyte rationeutrophil-to-lymphocyte ratio

Identifiers

PMID41328059
PMCPMC12665231

What OpenQuestion holds

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LicenceCC BY-NC
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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.