ArticleClinical epidemiology2025
The Association Between Socioeconomic Position and Infection Risk After Hip Fracture Surgery: A Nationwide Cohort Study of 54,853 Patients.
Article in Clinical epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Purpose: We examined the association between socioeconomic position (SEP) and risk of any infection after surgery for hip fracture, and whether markers of poor health modify this. Methods: Individual-level data on SEP markers (education, liquid assets, marital status, and cohabitation) were obtained from Danish registries for hip fracture patients undergoing surgery (2010-2018). We computed cumulative incidences of any hospital-treated infection within one month after surgery. Using Cox regression we estimated adjusted hazard ratios (aHRs) with 95% confidence intervals. Analyses were stratified by comorbidity clusters based on latent class analysis, body mass index (BMI), pre-fracture mobility, and residence type. Results: The incidences of infection were: 17% for low vs 16% for high education (aHR 1.10, 1.02-1.18), 19% for low vs 16% for high liquid assets (aHR 1.21, 1.15-1.28), 18% for divorced vs 16% for married (aHR 1.24, 1.15-1.32), and 18% for living alone vs 15% for cohabiting (aHR 1.16, 1.06-1.28). The incidence of infection was highest among patients with diabetic-renal comorbidity, underweight, poor mobility, or nursing home residency. The magnitude and direction of associations were modified by comorbidity clusters, BMI, mobility, and residence type. Conclusion: We observed socioeconomic inequalities in 30-day risk of infection after hip fracture surgery. Health modified the observed inequalities but could not fully explain them.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.