Evidence map›Paper›PMID 31953579›Full record

ArticleWorld journal of urology2020

The LACE + index as a predictor of 90-day urologic surgery outcomes.

Gregory Glauser, Eric Winter, Ian F Caplan, Debanjan Haldar, Stephen Goodrich, Scott D McClintock, Thomas J Guzzo, Neil R Malhotra

Abstract read
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In one paragraph

Article in World journal of urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 3 institutions in 1 country.

Gregory GlauserDepartment of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine at the University of Pennsylvania, 3rd Floor Silverstein Pavilion, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Eric WinterDepartment of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine at the University of Pennsylvania, 3rd Floor Silverstein Pavilion, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Ian F CaplanDepartment of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine at the University of Pennsylvania, 3rd Floor Silverstein Pavilion, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Debanjan HaldarDepartment of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine at the University of Pennsylvania, 3rd Floor Silverstein Pavilion, 3400 Spruce Street, Philadelphia, PA, 19104, USA.
Stephen GoodrichMcKenna EpiLog Fellowship in Population Health, University of Pennsylvania, Philadelphia, PA, USA.
Scott D McClintockThe West Chester Statistical Institute and Department of Mathematics, West Chester University, 25 University Ave, West Chester, PA, 19383, USA.
Thomas J GuzzoDepartment of Urology, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Neil R MalhotraDepartment of Neurosurgery, Hospital of the University of Pennsylvania, Perelman School of Medicine at the University of Pennsylvania, 3rd Floor Silverstein Pavilion, 3400 Spruce Street, Philadelphia, PA, 19104, USA. Neil.Malhotra@pennmedicine.upenn.edu.
Hospital of the University of Pennsylvania · USUniversity of Pennsylvania · USWest Chester University · US

Funding

The Bernadette and Kevin McKenna Family Research Fund N/A
6 · The paper itself

Abstract

purposeThis study assessed the ability of the LACE + [Length of stay, Acuity of admission, Charlson Comorbidity Index (CCI) score, and Emergency department visits in the past 6 months] index to predict adverse outcomes after urologic surgery.

methodsLACE + scores were retrospectively calculated for all consecutive patients (n = 9824) who received urologic surgery at one multi-center health system over 2 years (2016-2018). Coarsened exact matching was employed to sort patient data before analysis; matching criteria included duration of surgery, BMI, and race among others. Outcomes including unplanned hospital readmission, emergency room visits, and reoperation were compared for patients with different LACE + quartiles.

results722 patients were matched between Q1 and Q4; 1120 patients were matched between Q2 and Q4; 2550 patients were matched between Q3 and Q4. Higher LACE + score significantly predicted readmission within 90 days (90D) of discharge for Q1 vs Q4 and Q2 vs Q4. Increased LACE + score also significantly predicted 90D emergency room visits for Q1 vs Q4, Q2 vs Q4, and Q3 vs Q4. LACE + score was also significantly predictive of 90D reoperation for Q1 vs Q4. LACE + score did not predict 90D reoperation for Q2 vs Q4 or Q3 vs Q4 or 90D readmission for Q3 vs. Q4.

conclusionThese results suggest that LACE + may be a suitable prediction model for important patient outcomes after urologic surgery.

Indexed as

Urologic Surgical ProceduresEmergency Service, HospitalForecastingHospitalizationHumansLength of StayPatient ReadmissionPostoperative ComplicationsReoperationRetrospective StudiesTime FactorsTreatment OutcomeUrologic DiseasesCoarsened exact matchingDischarge predictive toolHospital readmissionsLACE + indexUrologic surgery

Identifiers

PMID31953579
OpenAlexW2999508347

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.