Evidence map›Paper›PMID 41755753›Full record

SynthesisBiomolecules & biomedicine2026

Preoperative GNRI and surgical site infection risk after total joint arthroplasty: A systematic review and meta-analysis.

Mingchang Du, Tiejun Liu, Ye Liu, Jie Guo, Xu Ma, Liangquan Zhai, Jun Li, Tiejun Wang, Hong Gao, Xun Fu

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Biomolecules & biomedicine, 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Mingchang DuOrthopedics Department, The Orthopedic Hospital of Shenyang, Shenyang, China.
Tiejun LiuDepartment of Imaging, Tacheng People's Hospital of Xinjiang Uygur Autonomous Region, Tacheng, China.
Ye LiuOrthopedics Department, The Orthopedic Hospital of Shenyang, Shenyang, China.
Jie GuoOrthopedics Department, The Orthopedic Hospital of Shenyang, Shenyang, China.
Xu MaOrthopedics Department, The Orthopedic Hospital of Shenyang, Shenyang, China.
Liangquan ZhaiOrthopedics Department, The Orthopedic Hospital of Shenyang, Shenyang, China.
Jun LiOrthopedics Department, The Orthopedic Hospital of Shenyang, Shenyang, China.
Tiejun WangDepartment of Imaging, The Orthopedic Hospital of Shenyang, Shenyang, China.
Hong GaoDepartment of Imaging, The Orthopedic Hospital of Shenyang, Shenyang, China.
Xun FuOrthopedics Department, The Orthopedic Hospital of Shenyang, Shenyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surgical site infections (SSIs), including periprosthetic joint infections (PJIs), represent significant complications following total joint arthroplasty (TJA). The geriatric nutritional risk index (GNRI) serves as an objective measure of nutritional status; however, its predictive value for postoperative infections in TJA patients remains ambiguous. To address this issue, a meta-analysis was conducted alongside a systematic search of PubMed, Embase, and Web of Science. Observational studies that assessed the relationship between preoperative GNRI and postoperative SSI or PJI following TJA were included in the analysis. Odds ratios (ORs) with 95% confidence intervals (CIs) were synthesized using random-effects models to account for heterogeneity. Seven retrospective cohort studies comprising 221,810 patients were analyzed. The results indicated that a low GNRI, which suggests malnutrition, is significantly associated with an increased risk of SSI after TJA (OR = 1.59; 95% CI 1.21-2.08; I² = 81%; p < 0.001). This association persisted across both primary and revision procedures (OR = 1.52 vs. 1.65; p = 0.76) and within 30-day and 90-day follow-ups (OR = 1.58 vs. 1.56; p = 0.98). A more pronounced correlation was found in patients with severe malnutrition (GNRI < 92) compared to those with moderate risk (GNRI: 92-98; OR = 2.18 vs. 1.25; p < 0.001). Although a similar trend was observed for PJI (OR = 2.37; 95% CI 0.73-7.72; p = 0.15), this finding was based on only two studies (three datasets) and remains uncertain. Evidence regarding shoulder arthroplasty was limited; however, existing data suggested trends similar to those seen in hip and knee arthroplasty. In conclusion, preoperative malnutrition, as indicated by a low GNRI, may be associated with an elevated risk of SSIs following TJA.

Indexed as

Arthroplasty, ReplacementNutritional StatusNutrition AssessmentSurgical Wound InfectionHumansMalnutritionPreoperative PeriodRisk Factors

Identifiers

PMID41755753
PMCPMC13394568

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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.