Evidence map›Paper›PMID 40597430›Full record

ArticlePatient safety in surgery2025

Risk factors for 30-day unplanned readmissions after surgical procedures in the elderly population.

Gino Sartor, Marco Fusco, Marzio Milana, Leonardo Rigon, Giorgio Arcara, Pierfranco Conte, Alessandra Buja

Abstract read
In one paragraph

Article in Patient safety in surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Gino SartorDistretto Sociosanitario, Health Authority ULSS 2 Marca Trevigiana, Treviso, Italy. gino.sartor@aulss2.veneto.it.
Marco FuscoMedical Direction, Health Authority ULSS 2 Marca Trevigiana, Treviso, Italy.
Marzio MilanaMedical Direction, Health Authority ULSS 2 Marca Trevigiana, Treviso, Italy.
Leonardo RigonIRCCS San Camillo Hospital, Venice, Italy.
Giorgio ArcaraIRCCS San Camillo Hospital, Venice, Italy.
Pierfranco ConteIRCCS San Camillo Hospital, Venice, Italy.
Alessandra BujaDepartment of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padua, Padua, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUrgent hospital readmissions within 30 days of discharge after surgery are a measure of the quality of health and social care. This study aims to identify the characteristics of patients at higher risk of readmission and the main reasons for readmission, stratified by type of surgery.

methodsThis cross-sectional study analysed the medical records of patients over 60 years of age in 2022 who had undergone surgery. Records came from hospitals covering an area of 890,000 inhabitants in Northern Italy (ULSS Marca Trevigiana). Risk factors for readmission included demographic characteristics, hospitalisation details, comorbidities, and procedures. Readmission rates and 95% CI were calculated by risk factor, type of intervention and reason for readmission. A logistic model was used to estimate the OR of readmission, adjusting for potential confounders.

resultsThe overall 30-day readmission rate was 3.8% (3.5-4.3), with the highest rates after gastrointestinal surgery (49.7 per 1,000 admissions) and the lowest after skin-soft tissue surgeries (15.5 per 1,000 admissions). Multivariate analysis identified dementia (OR = 3.19), end-stage kidney disease or dialysis (OR = 2.84), and metastatic cancer (OR = 2.65) as strong predictors of readmission. Advanced age (75+), male gender, primary cancer, and anemia were also independent predictors. Infection was the main reason for readmission. Other significant causes were hemorrhage, thrombosis/embolism, and intestinal obstruction.

conclusionsThe study highlights the importance of identifying risk factors for readmission to improve transitions of care. Targeted interventions for high-risk populations, particularly those with dementia, renal disease, or cancer, are essential to improve postoperative outcomes and alleviate the burden of unplanned readmissions on healthcare systems.

Identifiers

PMID40597430
PMCPMC12210902

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.