Evidence map›Paper›PMID 39569220›Full record

ArticleCureus2024

Unscheduled Hospital Admission as a Prognostic Factor in the Oncologic Patient: A Retrospective Study.

Carlos Maria Argerich, Canay Onder, Luis May, Javier Trujillano, Maria Nabal

Abstract read
In one paragraph

Article in Cureus, 2024. 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

5 authors.

Carlos Maria ArgerichMedicine, Universitat de Lleida, Lleida, ESP.
Canay OnderInternal Medicine, University Hospitals Birmingham, Birmingham, GBR.
Luis MayPalliative Care, Hospital Universitario Arnau de Vilanova, Lleida, ESP.
Javier TrujillanoIntensive Care, Hospital Universitario Arnau de Vilanova, Lleida, ESP.
Maria NabalPalliative Care, Hospital Universitario Arnau de Vilanova, Lleida, ESP.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims This research aimed to determine the correlation between survival, symptoms, and unscheduled admission in oncologic patients. Furthermore, this study aimed to develop a prognostic model that helps clinicians establish the indication of intervention by palliative care teams. Methodology A retrospective study of patients' digital clinical history registry was conducted to meet the two core objectives. The study population was patients with solid tumors undergoing unscheduled admissions to the oncology ward between January 1, 2018, and May 31, 2018. Demographic and clinical variables of those patients were analyzed. Specifically, the statistical analysis involved descriptive analysis, Kaplan-Meier curves, Log-Rank, and Chi-Squared Automatic Interaction Detection decision tree modeling. Results The results were obtained from 100 admissions of patients with an average age of 64. Of the patient cases examined, 67% (n = 67) were male. In 72% (n = 72) of the cases, patients presented with Stage IV tumors, and the most frequent primary tumor location among the admissions was lung, at 29% (n = 29). Intervention by the palliative care team occurred for 38% (n = 38) of patients. Mortality at 30, 90, 180, and 365 days was 34% (n = 34), 56% (n = 56), 71% (n = 71), and 78% (n = 78), respectively. Hepatic metastasis was the main predictor of mortality at 30 days (65%, n = 13) and at 90 days (90%, n = 18). In the absence of hepatic metastasis, the presence of more than one symptom predicted a mortality rate of 70% at 30 days. The main factor associated with mortality at 180 and 365 days was the tumor stage, with stage IV tumors having the highest mortality rate (84.7%, n = 61, and 90.3%, n = 65, respectively). Among the Stage IV population, the primary site shows a significant impact on survival, with colorectal/reproductive tumors being associated with decreased mortality. Conclusion Unscheduled admission is a negative prognostic factor in oncologic patients. An unscheduled admission can be expected to result in low survival in an oncologic patient, especially in those presenting with stage IV; involving non-colorectal/reproductive primaries; or presenting with pain, dyspnea, cachexia, or delirium.

Indexed as

advancement in palliative carecancer cachexiacancer survivalemergency admissiononcological painpalliative cancerprognostic modelingsupportive and palliative caresurvival analysisunscheduled admission

Identifiers

PMID39569220
PMCPMC11578073

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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.