Evidence map›Paper›PMID 39574829›Full record

ArticleJournal of pain research2024

Eosinophil-to-Lymphocyte Ratio and Eosinophil Count as New Predictive Markers for Osteoarthritis.

Jingkai Di, Liying Song, Yaru Liu, Zhibo Zhang, Yawen Wu, Tingting Chen, Chuan Xiang

Abstract read
In one paragraph

Article in Journal of pain research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Jingkai Di *The Second Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.
Liying Song *Shanxi Medical University, Taiyuan, People's Republic of China.
Yaru Liu *Shanxi Medical University, Taiyuan, People's Republic of China.ORCID 0009-0005-2991-7327
Zhibo ZhangThe Second Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.
Yawen WuShanxi Medical University, Taiyuan, People's Republic of China.
Tingting ChenShanxi Medical University, Taiyuan, People's Republic of China.ORCID 0009-0006-4083-2276
Chuan XiangThe Second Hospital of Shanxi Medical University, Taiyuan, People's Republic of China.ORCID 0000-0002-1121-6443

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Despite the association between peripheral blood inflammatory biomarkers and a range of inflammatory diseases, the role of these biomarkers in osteoarthritis (OA) progression remains unclear. Additionally, whether alterations in these inflammatory markers impact the prognosis of OA patients remains an understudied area. The aim of our study was to investigate the specific associations between peripheral blood inflammatory markers and OA progression and OA-related mortality. Methods: Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database from 1999 through 2018. The primary outcomes were all-cause mortality, cardiac mortality, and renal disease mortality, with information on the corresponding mortality rates for each participant obtained through association with the National Death Index (NDI). Multivariate logistic regression models were used to examine the relationship between peripheral blood lymphocyte counts and OA, and restricted cubic spline (RCS) analysis was utilized to assess whether there was a nonlinear relationship with OA and mortality of OA patients. Interaction and stratified analyses were employed to explore the association between peripheral blood leukocyte counts and OA. Results: This study included 1077 OA patients and 21,612 non-OA participants. In model 3 fully adjusted for covariates, eosinophil-to-lymphocyte ratio (ELR) and eosinophil (EOS) were positive risk factors promoting the development of OA (OR = 3.26, 95% CI: 1.49-7.14; OR = 1.79, 95% CI: 1.12-2.88). In stratified models for age, sex, BMI, smoking status, and alcohol consumption, the associations of ELR and EOS with OA were significantly different. RCS curves showed a J-shaped relationship between ELR and EOS and all-cause mortality in patients with OA. ELR was also found to significantly up-regulate cardiac mortality and renal mortality in patients with OA (OR = 3.92, 95% CI: 1.68-9.14; OR = 22.55, 95% CI: 6.55-77.70), while EOS was only significantly positively correlation (OR = 3.68, 95% CI: 1.94-7.01). Conclusion: A significant relationship was found between ELR, EOS and OA. In addition, ELR and EOS were identified as potential predictors of mortality from different causes in patients with OA.

Indexed as

all-cause mortalityeosinophileosinophil to lymphocyte ratioosteoarthritis

Identifiers

PMID39574829
PMCPMC11579136

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.