Impact of Hypoalbuminemia on Morbidity and Mortality After Radical Cystectomy.

Sri Saran Manivasagam, Jay D Raman, Matthew G Kaag

Abstract read

In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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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

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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.

Development and validation of a machine learning model for predicting 30-day major morbidity and mortality following radical cystectomy: An American College of Surgeons National Surgical Quality Improvement Program study.BJUI compass · 2026
Article

4 · The record

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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.

Sri Saran ManivasagamDepartment of Urology, Penn State Milton S. Hershey Medical Center, 500 University Dr, Hershey, PA 17033, USA.

Jay D RamanDepartment of Urology, Penn State Milton S. Hershey Medical Center, 500 University Dr, Hershey, PA 17033, USA.

Matthew G KaagDepartment of Urology, Penn State Milton S. Hershey Medical Center, 500 University Dr, Hershey, PA 17033, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the role of serum albumin in predicting surgical outcomes after radical cystectomy.

methodsRetrospective cohort analysis of adults who underwent radical cystectomy from 2019 to 2022 within the ACS NSQIP dataset. Patients were stratified into three groups based on preoperative serum albumin: <3.0 g/dL, 3.0-3.5 g/dL, and >3.5 g/dL. Primary outcomes were surgical site infections, wound disruption, reoperation rates, prolonged hospitalization, and 30-day mortality. Regression analyses assessed the impact of hypoalbuminemia (<3.5 g/dL) on outcomes.

resultsIn total, 6748 patients were included in the analysis. Distribution of preoperative albumin levels included 4.8% with albumin less than 3.0 gm/dL (Cohort A), 10.7% with albumin between 3.0 and 3.5 gm/dL (Cohort B), and 84.4% with albumin > 3.5 gm/dL (Cohort C). The incidence of superficial SSI (7.7%), deep SSI (2.2%), wound disruption (4.0%), unplanned reoperation (8.6%), and still in hospital at 30 days (5.5%) was significantly higher in Cohort A (

conclusionsPreoperative hypoalbuminemia is independently associated with increased morbidity and mortality following radical cystectomy. Given its modifiable nature, serum albumin should be considered a key target for preoperative optimization.

Indexed as

30-day mortalityalbuminbladder cancermorbiditynutritionradical cystectomy

Identifiers

PMID41595230

DOI10.3390/cancers18020313

PMCPMC12839051

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