Evidence map›Paper›PMID 34038164›Full record

ArticleJCO oncology practice2021

Prior Frequent Emergency Department Use as a Predictor of Emergency Department Visits After a New Cancer Diagnosis.

Arthur S Hong, Danh Q Nguyen, Simon Craddock Lee, D Mark Courtney, John W Sweetenham, Navid Sadeghi, John V Cox, Hannah Fullington, Ethan A Halm

Open access · greenAbstract read
In one paragraph

Article in JCO oncology practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  4. Telehealth education for patients with cancer: a standalone solution for symptom relief?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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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

9 authors at 3 institutions in 1 country.

Arthur S HongDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-6516-6819
Danh Q NguyenUniversity of Texas Southwestern Medical School, Dallas, TX.ORCID 0000-0003-2451-3583
Simon Craddock LeeDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0001-6345-1237
D Mark CourtneyDepartment of Emergency Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
John W SweetenhamDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Navid SadeghiDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-7786-8786
John V CoxDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.ORCID 0000-0002-4503-2415
Hannah FullingtonDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX.
Ethan A HalmDepartment of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX.
Harold C. Simmons Comprehensive Cancer CenterThe University of Texas Southwestern Medical Center · USParkland Health & Hospital System · US

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MELANIE H. COBB · 2010 to 2026
$53.7M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
UT Southwestern Center of Patient-Centered Outcomes Research (PCOR)R24HS022418 · AHRQ · UT SOUTHWESTERN MEDICAL CENTER · PI HALM, ETHAN A · 2013 to 2017
$5.0M
AHRQ HHS R24 HS022418NCATS NIH HHS UL1 TR001105NCI NIH HHS P30 CA142543
6 · The paper itself

Abstract

purposeTo determine whether emergency department (ED) visit history prior to cancer diagnosis is associated with ED visit volume after cancer diagnosis.

methodsThis was a retrospective cohort study of adults (≥ 18 years) with an incident cancer diagnosis (excluding nonmelanoma skin cancers or leukemia) at an academic medical center between 2008 and 2018 and a safety-net hospital between 2012 and 2016. Our primary outcome was the number of ED visits in the first 6 months after cancer diagnosis, modeled using a multivariable negative binomial regression accounting for ED visit history in the 6-12 months preceding cancer diagnosis, electronic health record proxy social determinants of health, and clinical cancer-related characteristics.

resultsAmong 35,090 patients with cancer (49% female and 50% non-White), 57% had ≥ 1 ED visit in the 6 months immediately following cancer diagnosis and 20% had ≥ 1 ED visit in the 6-12 months prior to cancer diagnosis. The strongest predictor of postdiagnosis ED visits was frequent (≥ 4) prediagnosis ED visits (adjusted incidence rate ratio [aIRR]: 3.68; 95% CI, 3.36 to 4.02). Other covariates associated with greater postdiagnosis ED use included having 1-3 prediagnosis ED visits (aIRR: 1.32; 95% CI, 1.28 to 1.36), Hispanic (aIRR: 1.12; 95% CI, 1.07 to 1.17) and Black (aIRR: 1.21; 95% CI, 1.17 to 1.25) race, homelessness (aIRR: 1.95; 95% CI, 1.73 to 2.20), advanced-stage cancer (aIRR: 1.30; 95% CI, 1.26 to 1.35), and treatment regimens including chemotherapy (aIRR: 1.44; 95% CI, 1.40 to 1.48).

conclusionThe strongest independent predictor for ED use after a new cancer diagnosis was frequent ED visits before cancer diagnosis. Efforts to reduce potentially avoidable ED visits among patients with cancer should consider educational initiatives that target heavy prior ED users and offer them alternative ways to seek urgent medical care.

Indexed as

Emergency Service, HospitalNeoplasmsAmbulatory CareFemaleHumansMaleRetrospective Studies

Identifiers

PMID34038164
PMCPMC8600510
OpenAlexW3164475585

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.