Evidence map›Paper›PMID 42846402›Full record

ArticleFrontiers in nutrition2026

Diagnostic agreement of nutritional screening tools in obesity-related knee osteoarthritis.

Zhiyuan Fan, Bohao Yin, Chenjun Liu, Qi Ai, Huibin Zhang, Yifei Wei, Yingzhe Jin

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Article in Frontiers in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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7 authors.

Zhiyuan Fan *Department of Orthopedic, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.
Bohao Yin *Department of Orthopedic, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.
Chenjun LiuDepartment of Orthopedic, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.
Qi AiDepartment of Orthopedic Trauma, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Huibin ZhangDepartment of Orthopedic, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.
Yifei WeiSecond Department of Bone and Joint Disorders, Wangjing Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
Yingzhe JinDepartment of Orthopedic, The Affiliated Lihuili Hospital of Ningbo University, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the diagnostic agreement, ability to identify concealed malnutrition, and clinical risk stratification value of different nutritional screening tools in patients with obesity-related knee osteoarthritis (KOA). Methods: Single-center, retrospective, cross-sectional diagnostic agreement study. Consecutive patients with obesity-related KOA hospitalized between January 2022 and January 2024 were enrolled. Nutritional risk was assessed using NRS-2002, MUST, MNA-SF, GNRI, and CONUT; malnutrition was confirmed by the GLIM criteria. Results: Among 520 patients, GLIM-defined malnutrition was present in 146 (28.1%). Detection rates ranged from 17.1% (MUST) to 35.2% (CONUT). Multi-tool agreement was moderate (Fleiss' κ = 0.42). CONUT showed the highest agreement with GLIM (κ = 0.58), MUST the lowest (κ = 0.29). Overall diagnostic discordance rate was 37.9%. MUST had the highest missed diagnosis rate for GLIM-defined malnutrition (42.5%), CONUT the lowest (13.0%). Concealed malnutrition (defined as GLIM-defined malnutrition with BMI ≥ 28 kg/m Conclusion: In this cohort, concealed malnutrition was highly prevalent among patients with obesity-related KOA, accounting for 82.9% of GLIM-defined malnutrition cases. Traditional BMI-dependent screening tools may systematically underestimate nutritional risk in this population. A strategy integrating laboratory indices, inflammatory burden, and muscle mass appears to provide better diagnostic agreement and risk stratification in this setting; however, these findings are derived from a single-center retrospective study and require prospective external validation.

Indexed as

concealed malnutritiondiagnostic agreementGLIMinflammatory burdenknee osteoarthritisnutritional screeningobesitysarcopenic obesity

Identifiers

PMID42846402
PMCPMC13643906

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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.