Evidence map›Paper›PMID 41281170›Full record

ArticleHealth science reports2025

Assessing the Impact of Waiting Time on Triage Color Code Assignment and One-Year Mortality in the Emergency Department: A Causal Mediation Analysis.

Mario Cesare Nurchis, Marcello Covino, Cosimo Savoia, Gerardo Altamura, Andrea Cambieri, Gabriele Giubbini, Giuseppe Vetrugno, Manuele Cesare, Antonello Cocchieri, Francesco Franceschi and 2 more

Abstract read
In one paragraph

Article in Health science reports, 2025. 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
–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

2 citing papers in PubMed.

  1. Observational
  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

12 authors.

Mario Cesare NurchisDepartment of Life Science, Health, and Health Professions Università degli Studi Link Rome Italy.ORCID https://orcid.org/0000-0002-9345-4292
Marcello CovinoDepartment of Emergency Medicine Fondazione Policlinico Universitario Agostino Gemelli IRCCS Rome Italy.ORCID https://orcid.org/0000-0002-6709-2531
Cosimo SavoiaDepartment of Health Science and Public Health Università Cattolica del Sacro Cuore Rome Italy.ORCID https://orcid.org/0000-0002-0692-8892
Gerardo AltamuraDepartment of Health Science and Public Health Università Cattolica del Sacro Cuore Rome Italy.
Andrea CambieriHospital Health Management Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy.
Gabriele GiubbiniHospital Health Management Fondazione Policlinico Universitario A. Gemelli IRCCS Rome Italy.
Giuseppe VetrugnoDepartment of Health Surveillance and Bioethics Università Cattolica Del Sacro Cuore Italy.
Manuele CesareDepartment of Health Science and Public Health Università Cattolica del Sacro Cuore Rome Italy.ORCID https://orcid.org/0000-0003-2834-7594
Antonello CocchieriDepartment of Health Science and Public Health Università Cattolica del Sacro Cuore Rome Italy.
Francesco FranceschiDepartment of Emergency Medicine Fondazione Policlinico Universitario Agostino Gemelli IRCCS Rome Italy.
Walter RicciardiDepartment of Health Science and Public Health Università Cattolica del Sacro Cuore Rome Italy.
Gianfranco DamianiDepartment of Health Science and Public Health Università Cattolica del Sacro Cuore Rome Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Emergency Department (ED) overcrowding and delays in care affect patient outcomes. While triage systems prioritize care based on urgency, the role of waiting time in mediating the relationship between triage color codes and 1-year mortality remains unclear. This study investigates this mediation effect to improve triage protocols and patient outcomes. Methods: A retrospective cohort study was conducted using data from the Fondazione Policlinico Universitario Agostino Gemelli IRCCS ED (2014-2018). The sample included patients assigned green and yellow triage codes, excluding red and white ones. The outcome was 1-year mortality; the mediator was waiting time, defined as the delay between triage assignment and medical evaluation. Causal mediation analysis estimated direct, indirect, and total effects, with sensitivity analyses assessing robustness to unmeasured confounding. Results: Among 56,284 observations, older patients and yellow-coded individuals showed higher 1-year mortality. Waiting time did not significantly mediate the relationship between triage code and mortality (ACME OR: 1.001, 95% CI: 0.999-1.002). Triage code, however, had a direct significant effect on mortality (ADE OR: 1.01, 95% CI: 1.004-1.007). Waiting time mediated a small proportion of the effect (3.4%-13.9%). Sensitivity analyses indicated the mediation effect was sensitive to unmeasured confounding. Conclusions: Triage color code strongly predicts 1-year mortality, independent of waiting time within standard thresholds. For lower-acuity cases, reducing waiting time further may not improve long-term outcomes. Future research should validate these findings across multicenter settings and explore Italy's updated five-color triage system to optimize care delivery.

Indexed as

1‐year mortalityboardingemergency departmentmediation analysiswaiting time

Identifiers

PMID41281170
PMCPMC12634474

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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.