Evidence map›Paper›PMID 39671003›Full record

ArticleWorld journal of urology2024

Predictors of delayed hospital discharge after robot-assisted partial nephrectomy: the impact of single-port robotic surgery.

Francesco Lasorsa, Angelo Orsini, Gabriele Bignante, Arianna Biasatti, Kyle A Dymanus, Oren Feldman-Schultz, Savio Domenico Pandolfo, Shaan Setia, Ephrem Olweny, Edward E Cherullo and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
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

12 authors.

Francesco LasorsaDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Angelo OrsiniDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Gabriele BignanteDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Arianna BiasattiDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Kyle A DymanusDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Oren Feldman-SchultzDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Savio Domenico PandolfoDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Shaan SetiaDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Ephrem OlwenyDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Edward E CherulloDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Srinivas VourgantiDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA.
Riccardo AutorinoDepartment of Urology, Rush University Medical Center, 1725 W. Harrison Street, Suite 970, Chicago, IL, 60612, USA. ricautor@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the predictors of delayed discharge for patients undergoing robot-assisted partial nephrectomy (RAPN) at our Institution since the introduction of the single port (SP) robotic system.

methodsWe performed a retrospective review of our prospectively maintained database of patients undergoing RAPN from September 2020 to August 2024. Patients were categorized by the postoperative day of their discharge: POD1 (single overnight stay) or POD > 1 (more than one night stay). Multivariable logistic regression analysis was used to test the probability of prolonged hospital stay (defined as more than one night stay) adjusting for age at surgery, surgical approach, Charlson comorbidity index, baseline hemoglobin, antiplatelet or anticoagulant medications, clinical tumor stage, and intraoperative blood transfusion.

resultsOverall, 255 patients were identified for the analysis. Patients discharged on POD1 were younger (p = 0.004), reported a lower Charlson Comorbidity Index (p = 0.002), higher preoperative hemoglobin levels (p = 0.005), and smaller tumor size (p < 0.001). Higher rates of discharge on POD1 were recorded for both multiport transperitoneal (59.5 vs. 40.5%, p = 0.02) and SP retroperitoneal (81.5 vs. 18.5%, p = 0.004). Clinical tumor stage (p = 0.02) and intraoperative blood transfusion (p = 0.05) emerged as independent risk factors for POD > 1. Baseline hemoglobin emerged as a protective factor (p = 0.05) as well as SP approach (p = 0.03).

conclusionSP-RAPN holds potential to shorten hospitalization without hampering surgical outcomes. By maximizing the adoption of a RP approach and minimizing surgical invasiveness, SP robotic surgery allows to significantly expand the pool of RAPN patients that can be discharged after a single overnight stay.

Indexed as

Kidney NeoplasmsLength of StayNephrectomyPatient DischargeRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTime FactorsDischargeMulti-portRobot-assisted partial nephrectomySingle-port

Identifiers

What OpenQuestion holds

Textmetadata
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.