Evidence map›Paper›PMID 42403106›Full record

ArticleThe Journal of international medical research2026

Red blood cell distribution width-to-albumin ratio and osteoarthritis: A cross-sectional and cohort study.

Jiaming Tang, Jing Li, Rulai Yang

Abstract read
In one paragraph

Article in The Journal of international medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jiaming TangDepartment of Genetics and Metabolism, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents' Health and Diseases, China.ORCID 0009-0004-6693-5471
Jing LiPediatric Healthcare Department, Jiaxing Maternity and Child Health Care Hospital, Affiliated Women and Children Hospital, Jiaxing University, China.
Rulai YangDepartment of Genetics and Metabolism, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Children and Adolescents' Health and Diseases, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundThe red cell distribution width-to-albumin ratio is a novel composite biomarker reflecting systemic inflammation and nutritional status. This study aimed to evaluate the association between the red cell distribution width-to-albumin ratio and the prevalence of osteoarthritis as well as long-term mortality risk among US adults, thereby exploring the potential value of the red cell distribution width-to-albumin ratio as a marker for osteoarthritis risk assessment and prognostic evaluation.MethodsData were obtained from the National Health and Nutrition Examination Survey in the United States, covering the years 2003-2016 and comprising 31,994 adult participants. The association between the red cell distribution width-to-albumin ratio and the prevalence of osteoarthritis was examined using logistic regression models. Additionally, prospective Cox regression models were used to evaluate the relationship between the red cell distribution width-to-albumin ratio and all-cause and cardiovascular mortality among patients with osteoarthritis. The models were adjusted for multiple important covariates, including age, sex, body mass index, race, lifestyle factors (such as smoking and alcohol consumption), and chronic comorbidities (such as diabetes, hypertension, and cardiovascular disease history). Restricted cubic spline analysis was performed to examine the nonlinear association between red cell distribution width-to-albumin ratio and mortality risk. Kaplan-Meier survival analysis, subgroup analyses, and interaction assessments were conducted to validate the robustness of the results.ResultsAmong 31,994 participants, 3150 were identified with osteoarthritis; of these, 3147 had follow-up records and were included in the survival analysis. After adjustment for key covariates, red cell distribution width-to-albumin ratio remained positively associated with the prevalence of osteoarthritis (adjusted odds ratio = 1.13, 95% confidence interval: 1.01-1.25). Compared with the lowest quartile (Q1), the highest quartile (Q4) of red cell distribution width-to-albumin ratio was significantly associated with an increased prevalence of osteoarthritis (odds ratio = 1.27, 95% confidence interval: 1.09-1.48). During a median follow-up of 92 months, higher red cell distribution width-to-albumin ratio significantly predicted all-cause mortality (hazard ratio = 2.11, 95% confidence interval: 1.74-2.56) and cardiovascular mortality (hazard ratio = 2.08, 95% confidence interval: 1.68-2.58) among patients with osteoarthritis. Further analysis revealed a significant nonlinear J-shaped association between red cell distribution width-to-albumin ratio and all-cause mortality risk among patients with osteoarthritis, with a threshold value of 2.84, above which mortality risk increased markedly (p < 0.05).ConclusionsThis study suggests that the red cell distribution width-to-albumin ratio is associated with osteoarthritis prevalence and mortality risk among adults with osteoarthritis. Red cell distribution width-to-albumin ratio may represent a potential risk marker for osteoarthritis-related risk assessment and prognostic evaluation.

Indexed as

Erythrocyte IndicesOsteoarthritisSerum AlbuminAdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysPrevalencePrognosisProspective StudiesRisk FactorsBiomarkersSerum Albumininflammation and nutritionmortalityOsteoarthritisprevalencered cell distribution width-to-albumin ratio

Identifiers

PMID42403106
PMCPMC13338508

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.