Evidence map›Paper›PMID 34821051›Full record

ArticleCancer medicine2021

Impact of underlying malignancy on emergency department utilization and outcomes.

Alexander S Qian, Edmund M Qiao, Vinit Nalawade, Rohith S Voora, Nikhil V Kotha, Christian Dameff, Christopher J Coyne, James D Murphy

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Impact of an oncology urgent care center on preventable emergency department visits: revisiting lessons from a global pandemic to improve quality of care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Lung cancer in the emergency department.Emergency cancer care · 2023
    Review
  7. Article
  8. Review
  9. Article
  10. Observational
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 1 institution in 1 country.

Alexander S QianDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.ORCID 0000-0002-0599-2411
Edmund M QiaoDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.ORCID 0000-0003-2185-9685
Vinit NalawadeDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
Rohith S VooraDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.ORCID 0000-0001-9242-844X
Nikhil V KothaDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.ORCID 0000-0001-9737-5033
Christian DameffDepartment of Emergency Medicine, University of California San Diego, La Jolla, California, USA.
Christopher J CoyneDepartment of Emergency Medicine, University of California San Diego, La Jolla, California, USA.
James D MurphyDepartment of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA.
University of California San Diego · US

Funding

UC San Diego Clinical and Translational Research InstituteTL1TR001443 · NCATS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DEPP, COLIN A. · 2015 to 2019
$3.4M
NCATS NIH HHS TL1 TR001443
6 · The paper itself

Abstract

purposeCancer patients frequently utilize the emergency department (ED) for a variety of diagnoses both related to and unrelated to their cancer, yet ED outcomes for cancer patients are not well documented. This study sought to define risks and identify predictors for inpatient admission and hospital mortality among cancer patients presenting to the ED. PATIENTS AND

methodsWe utilized the National Emergency Department Sample to identify patients with and without a diagnosis of cancer presenting to the ED between January 2016 and December 2018. We used multivariable mixed-effects logistic regression models to assess the influence of cancer on outcomes of hospital admission after the ED visit and hospital mortality for the whole patient cohort and individual presenting diagnoses.

resultsThere were 340 million weighted ED visits, of which 8.3 million (2.3%) were associated with a cancer diagnosis. Compared to non-cancer patients, patients with cancer had an increased risk of inpatient admission (64.7% vs. 14.8%; p < 0.0001) and hospital mortality (4.6% vs. 0.5%; p < 0.0001). For each of the top 15 presenting diagnoses, cancer patients had increased risks of hospitalization (odds ratio [OR] range 2.0-13.2) or death (OR range 2.1-14.4). Although our dataset does not contain reliable estimation of stage, cancer site was the most robust individual predictor associated with the risk of hospitalization or death compared to other clinical or system-related factors.

conclusionsCancer patients in the ED have high risks for hospital admission and death when compared to patients without cancer. Cancer patients represent a distinct population and may benefit from cancer-specific risk stratification or focused interventions to improve outcomes.

Indexed as

AdolescentAdultAgedEmergency Service, HospitalFemaleHospitalizationHumansMaleMiddle AgedNeoplasmsYoung Adultemergency departmenthealth serviceshospital admissionhospital death

Identifiers

PMID34821051
PMCPMC8683529
OpenAlexW3216603852

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.