Evidence map›Paper›PMID 38911666›Full record

ArticleAnnals of surgery open : perspectives of surgical history, education, and clinical approaches2024

Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery.

Tyler J Loftus, Matthew M Ruppert, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Jeremy A Balch, Kenneth L Abbott, Die Hu, Adnan Javed, Firas Madbak, Faheem Guirgis and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of surgery open : perspectives of surgical history, education, and clinical approaches, 2024. 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

17 authors.

Tyler J LoftusFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.
Matthew M RuppertFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.
Benjamin ShickelFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.
Tezcan Ozrazgat-BaslantiFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.
Jeremy A BalchFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.
Kenneth L AbbottDepartment of Surgery, University of Florida Health, Gainesville, FL.
Die HuFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.
Adnan JavedDepartments of Emergency Medicine & Critical Care Medicine, University of Florida College of Medicine, Jacksonville, FL.
Firas MadbakDepartment of Surgery, University of Florida College of Medicine, Jacksonville, FL.
Faheem GuirgisDepartment of Emergency Medicine, University of Florida College of Medicine, Jacksonville, FL.
David SkarupaDepartment of Surgery, University of Florida College of Medicine, Jacksonville, FL.
Philip A EfronDepartment of Surgery, University of Florida Health, Gainesville, FL.
Patrick J TigheDepartments of Anesthesiology, Orthopedics, and Information Systems/Operations Management, University of Florida Health, Gainesville, FL.
William R HoganDepartment of Health Outcomes & Biomedical Informatics, College of Medicine, University of Florida, Gainesville, FL.
Parisa RashidiFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.
Gilbert R UpchurchDepartment of Surgery, University of Florida Health, Gainesville, FL.
Azra BihoracFrom the Intelligent Critical Care Center, University of Florida, Gainesville, FL.

Funding

Molecular Biology in Burns and TraumaT32GM008721 · NIGMS · UNIVERSITY OF FLORIDA · PI Philip A Efron · 1999 to 2026
$5.0M
Aligning Patient Acuity with Resource Intensity after Major SurgeryR01GM149657 · NIGMS · UNIVERSITY OF FLORIDA · PI Tyler J Loftus · 2023 to 2026
$1.3M
Aligning Patient Acuity with Intensity of Care after SurgeryK23GM140268 · NIGMS · UNIVERSITY OF FLORIDA · PI LOFTUS, TYLER J · 2020 to 2023
$619k
NIGMS NIH HHS K23 GM140268NIGMS NIH HHS R01 GM149657NIGMS NIH HHS T32 GM008721
6 · The paper itself

Abstract

Objective: To determine whether certain patients are vulnerable to errant triage decisions immediately after major surgery and whether there are unique sociodemographic phenotypes within overtriaged and undertriaged cohorts. Background: In a fair system, overtriage of low-acuity patients to intensive care units (ICUs) and undertriage of high-acuity patients to general wards would affect all sociodemographic subgroups equally. Methods: This multicenter, longitudinal cohort study of hospital admissions immediately after major surgery compared hospital mortality and value of care (risk-adjusted mortality/total costs) across 4 cohorts: overtriage (N = 660), risk-matched overtriage controls admitted to general wards (N = 3077), undertriage (N = 2335), and risk-matched undertriage controls admitted to ICUs (N = 4774). K-means clustering identified sociodemographic phenotypes within overtriage and undertriage cohorts. Results: Compared with controls, overtriaged admissions had a predominance of male patients (56.2% vs 43.1%, Conclusions: Postoperative triage decisions should ensure equality across sociodemographic groups by anchoring triage decisions to objective patient acuity assessments, circumventing cognitive shortcuts and mitigating bias.

Indexed as

decisionICUphenotypesurgerytriage

Identifiers

PMID38911666
PMCPMC11191932

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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.