Evidence map›Paper›PMID 42113572›Full record

ArticleJournal of intensive care medicine2026

Prediction of 48-h Intensive Care Unit Mortality in Hospitalized Cancer Patients: Performance of the EPIC Deterioration Index and Sequential Organ Failure Assessment Score.

Cerena Leung, Lee Cheng, Natalie Walton, Nico Nortje, Kerin Adelson, David Hui

Abstract read
In one paragraph

Article in Journal of intensive care medicine, 2026. 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

6 authors.

Cerena LeungDepartment of Hospital Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0002-7852-2306
Lee ChengInstitute of Cancer Care Innovation, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Natalie WaltonDepartment of Hospital Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Nico NortjeDepartment of Critical Care Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Kerin AdelsonDepartment of Breast Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0009-0004-4507-4502
David HuiCenter for Goal Concordant Care Research, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-2733-6607

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PurposeThe EPIC deterioration index (EDI) and the Sequential Organ Failure Assessment (SOFA) scores are commonly used. However, no studies have examined their performance in hospitalized cancer patients just before intensive care unit (ICU) transfer. We examined the prognostic accuracy of the EDI and SOFA for 48-h ICU mortality.MethodsThis study evaluated consecutive hospitalized medical oncology patients transferred to the ICU from January 1, 2021 to December 31, 2023. Univariable and multivariable logistic regression models examined if EDI scores (EDI-now) and SOFA scores immediately prior to ICU transfer were predictive of 48-h ICU mortality. We assessed the performance of EDI-now, EDI at 24 h before ICU transfer (EDI-24 h), the difference between EDI-24 h and EDI-now (EDI-change) and SOFA using the area under the receiver operating characteristic curve (AUROC).ResultsThere were 1987 hospitalizations among 1907 unique patients (mean age = 61, male = 58%); 236 (11.9%) died within 48 hours of ICU transfer. In the multivariable analysis, EDI-Now (OR [95% CI]; 3.11 [2.26,4.27], p < 0.0001) and SOFA (OR [95% CI]; 1.78 [1.31,2.43], p = 0.0002) were significantly associated with 48-h ICU mortality. The AUROC for EDI-now, EDI-24 h, EDI-change and SOFA were 0.657, 0.563, 0.635, and 0.621, respectively. The optimal cut-off threshold for EDI-now was 55 with 73.7% sensitivity, 54.4% specificity, 17.9% positive predictive value (PPV) and 91.5% negative predictive value (NPV). The optimal cut-off threshold for SOFA score was 5 with 63.1% sensitivity, 53.6% specificity, 15.5% PPV and 91.5% NPV.ConclusionEDI-now ≥ 54.3 and SOFA ≥ 4 were associated with greater 48-h ICU mortality. High NPVs and low PPVs suggest EDI and SOFA scores could potentially be used to identify patients at lower risk of dying within 48 hours but cannot be used to predict higher risk of 48-h mortality prior to ICU transfer. Better prognostic scores are needed for the medical oncology population.

Indexed as

Hospital MortalityIntensive Care UnitsNeoplasmsOrgan Dysfunction ScoresAgedClinical DeteriorationFemaleHumansMaleMiddle AgedPredictive Value of TestsPrognosisRetrospective StudiesROC Curve48-h ICU mortalityEDImedical oncologyprognostic accuracySOFA

Identifiers

PMID42113572
PMCPMC13157520

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.