Evidence map›Paper›PMID 40680590›Full record

ArticleThe Journal of surgical research2025

Why Potentially Elective General Surgery Becomes Emergent: A Multi-Methods Approach.

Denise M Garofalo, Quintin W O Myers, Charlotte H Heron, Ariel Wolf, Heather Carmichael, Adam R Dyas, Sam Mathai, Paul D Rozeboom, Catherine G Velopulos

Abstract read
In one paragraph

Article in The Journal of surgical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Denise M GarofaloSchool of Medicine, University of Colorado, Aurora, Colorado; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado. Electronic address: denise.garofalo@cuanschutz.edu.
Quintin W O MyersSchool of Medicine, University of Colorado, Aurora, Colorado; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado; Surgical Outcomes and Applied Research, Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Charlotte H HeronSchool of Medicine, University of Colorado, Aurora, Colorado; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Ariel WolfSchool of Medicine, University of Colorado, Aurora, Colorado.
Heather CarmichaelSchool of Medicine, University of Colorado, Aurora, Colorado; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Adam R DyasSchool of Medicine, University of Colorado, Aurora, Colorado; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Sam MathaiSchool of Medicine, University of Colorado, Aurora, Colorado.
Paul D RozeboomSchool of Medicine, University of Colorado, Aurora, Colorado; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.
Catherine G VelopulosSchool of Medicine, University of Colorado, Aurora, Colorado; Department of Surgery, University of Colorado Anschutz Medical Campus, Aurora, Colorado.

Funding

Modifiable factors in emergent presentation of potentially elective general surgical disease for patients who are insured or insurance-eligibleR01MD015122 · NIMHD · UNIVERSITY OF COLORADO DENVER · PI VELOPULOS, CATHERINE GARRISON · 2021 to 2025
$1.6M
NIMHD NIH HHS R01 MD015122
6 · The paper itself

Abstract

introductionEmergency general surgery (EGS) has disproportionate morbidity and mortality relative to elective surgery. With earlier intervention, many emergent conditions could be treated electively. Social determinants of health (SDoH) negatively impact access to healthcare, leading to increased utilization of EGS. The goal of this study is to determine why patients with potentially elective disease receive EGS.

methodsAdults undergoing EGS with elective alternatives were identified during 2018-2019 at a single academic center. Patient demographics, clinical course, and circumstances of surgical timing were abstracted from the medical record. We compared factors influencing referral or evaluation by surgeon with chi-square and Mann-Whitney U tests where appropriate. Concurrent, multi-methods were used to determine why patients fail to receive elective surgery.

resultsWe identified 995 patients undergoing EGS with an elective alternative. Although 70% had insurance and a primary care physician, only 104 were evaluated by primary care, with 59 referred to and 46 evaluated by general surgery, and 22 ultimately scheduled for elective surgery. Reasons for failure of elective management included comorbidity optimization (42%), difficulties scheduling (28%), SDoH (22%), missed diagnosis (14%), and patient preference (11%). Patients cited difficulties with money, childcare, transportation, and employment within SDoH category. No significant differences in patient demographics were found for patients with and without preoperative outpatient care.

conclusionsAt our institution, most patients are never seen by a physician prior to their admission for EGS. Even with primary care evaluation, individuals still have only a 20% chance of being scheduled for elective surgery. Future efforts must focus on increasing preventive care access within the community and streamlining the process from diagnosis to elective general surgery.

Indexed as

Elective Surgical ProceduresAdultAgedFemaleHealth Services AccessibilityHumansMaleMiddle AgedPatient PreferenceReferral and ConsultationRetrospective StudiesEmergency general surgeryHealthcare accessHealthcare disparitiesSocial determinants of healthSurgical equity

Identifiers

PMID40680590
PMCPMC13657062

What OpenQuestion holds

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Registered trials

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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.