Evidence map›Paper›PMID 35463803›Full record

ArticleCritical care research and practice2022

Predicting Outcomes for Interhospital Transferred Patients of Emergency General Surgery.

Brandon Cave, Daniel Najafali, William Gilliam, Jackson F Barr, Christian Cain, Chris Yum, Jamie Palmer, Safura Tanveer, Emily Esposito, Quincy K Tran

Abstract read
In one paragraph

Article in Critical care research and practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

10 authors.

Brandon CaveUniversity of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-9325-9673
Daniel NajafaliThe Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0003-1509-9229
William GilliamThe Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Jackson F BarrThe Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Christian CainThe R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Chris YumThe Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Jamie PalmerUniversity of Maryland School of Medicine, Baltimore, MD, USA.
Safura TanveerThe Research Associate Program in Emergency Medicine and Critical Care, Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
Emily EspositoThe R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA.
Quincy K TranThe R Adams Cowley Shock Trauma Center, University of Maryland School of Medicine, Baltimore, MD, USA.ORCID https://orcid.org/0000-0002-7774-154X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Interhospital transferred (IHT) emergency general surgery (EGS) patients are associated with high care intensity and mortality. However, prior studies do not focus on patient-level data. Our study, using each IHT patient's data, aimed to understand the underlying cause for IHT EGS patients' outcomes. We hypothesized that transfer origin of EGS patients impacts outcomes due to critical illness as indicated by higher Sequential Organ Failure Assessment (SOFA) score and disease severity. Materials and Methods: We conducted a retrospective analysis of all adult patients transferred to our quaternary academic center's EGS service from 01/2014 to 12/2016. Only patients transferred to our hospital with EGS service as the primary service were eligible. We used multivariable logistic regression and probit analysis to measure the association of patients' clinical factors and their outcomes (mortality and survivors' hospital length of stay [HLOS]). Results: We analyzed 708 patients, 280 (39%) from an ICU, 175 (25%) from an ED, and 253 (36%) from a surgical ward. Compared to ED patients, patients transferred from the ICU had higher mean (SD) SOFA score (5.7 (4.5) vs. 2.39 (2), Conclusions: At our academic center, patients transferred from an ICU were more critically ill and had longer HLOS and higher mortality. We identified SOFA score and a few conditions and diagnoses as associated with patients' outcomes. Further studies are needed to confirm our observation.

Identifiers

PMID35463803
PMCPMC9033401

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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.