Evidence map›Paper›PMID 41798404›Full record

ArticleCureus2026

Predictors of Intensive Care Unit Outcomes Among Oncology Patients: A Retrospective Cohort Study at a Tertiary Referral Center in Saudi Arabia.

Ahmed M Badheeb, Turki S Alayash, Udai O Alghanmi, Omar Alkhanbashi, Doaa A Eltohami, Safa Abdelrahman, Doaa Abdelmonem, Abdouh A Awad, Jobran Moshi, Esam Ben Yahya and 1 more

Abstract read
In one paragraph

Article in Cureus, 2026. 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. Article
  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

11 authors.

Ahmed M BadheebOncology, King Khalid Hospital, Najran, SAU.
Turki S AlayashIntensive Care Unit, Aseer Central Hospital, Khamis Mushait, SAU.
Udai O AlghanmiInternal Medicine, King Khalid Hospital, Najran, SAU.
Omar AlkhanbashiUrology, King Khalid Hospital, Najran, SAU.
Doaa A EltohamiInternal Medicine, King Khalid Hospital, Najran, SAU.
Safa AbdelrahmanInternal Medicine, King Khalid Hospital, Najran, SAU.
Doaa AbdelmonemInternal Medicine, King Khalid Hospital, Najran, SAU.
Abdouh A AwadAnesthesia, King Khalid Hospital, Najran, SAU.
Jobran MoshiMedical Laboratory Technology, Jazan University, Jazan, SAU.
Esam Ben YahyaUrology, King Khalid Hospital, Najran, SAU.
Abdullah Abu BakarOphthalmology, King Khalid Hospital, Najran, SAU.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Caring for critically ill cancer patients is challenging due to the complexity of malignancy combined with acute organ dysfunction. Despite an increasing cancer burden in Saudi Arabia, data on intensive care unit (ICU) outcomes, particularly in the Najran region, remain limited. This study aims to identify clinical characteristics, ICU treatments, and mortality predictors in this population. Patients and methods This retrospective cohort study included 105 adult patients with active solid or hematologic malignancies admitted to the ICU at King Khalid Hospital, Najran, between January 2014 and February 2023. Data, including demographics, cancer details, ICU admission causes, treatments, and outcomes, were collected. Multivariate logistic regression was used to assess mortality predictors, and Kaplan-Meier analysis compared survival by disease stage. Results The cohort had a mean age of 56.8 ± 16.5 years, with 57 females (54.3%). Advanced-stage disease was present in 84 patients (80.0%), with gastrointestinal cancers being the most common primary site (35, 33.3%). Cancer-related complications accounted for 77 ICU admissions (73.3%). The median Sequential Organ Failure Assessment (SOFA) score at admission was 1.0 (interquartile range (IQR) 0.0-3.0). ICU mortality was 40 patients (38.1%), primarily due to cancer progression. Independent mortality predictors included older age (adjusted odds ratio (aOR) 1.04 per year; 95% CI 1.01-1.06), advanced-stage disease (aOR 3.37; 95% CI 1.56-7.26), respiratory infections (aOR 2.19; 95% CI 1.04-4.59), and higher SOFA scores (aOR 1.70 per point; 95% CI 1.28-2.27). The predictive model demonstrated good discrimination (optimism-corrected area under the curve (AUC) = 0.82). Kaplan-Meier analysis showed significantly lower 14-day survival in advanced-stage patients (41%) compared to non-advanced stage patients (78%; log-rank p < 0.001). Conclusions This study highlights high ICU mortality among cancer patients at a tertiary center in southwestern Saudi Arabia, particularly those with older age, advanced-stage disease, respiratory infections, and higher SOFA scores. Early identification of these high-risk predictors is essential to guide clinical decision-making, enhance infection control, and facilitate timely palliative care integration. These findings provide valuable regional data to inform critical care strategies for oncology patients in similar settings.

Indexed as

cancer mortalitycritical care oncologyintensive care unitmechanical ventilationneutropeniaorgan dysfunctionprognostic factorssaudi arabiasepsis

Identifiers

PMID41798404
PMCPMC12967224

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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.