Evidence map›Paper›PMID 29362918›Full record

ArticleJournal of cancer research and clinical oncology2018

Clinical characteristics and outcomes of cancer patients requiring intensive care unit admission: a prospective study.

Frank Daniel Martos-Benítez, Andrés Soto-García, Anarelys Gutiérrez-Noyola

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
  2. Is mortality truly higher for oncology patients admitted to intensive care units? A matched cohort observational study.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Observational
  3. Outcomes of Cancer Patients Requiring Non-elective Medical Admission to the Intensive Care Unit of a Tertiary Care Center in India: A 5-year Retrospective Study.Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine · 2026
    Article
  4. Article
  5. Intensive care unit outcomes and prognostic factors of colorectal cancer.World journal of gastrointestinal oncology · 2025
    Article
  6. Observational
  7. Article
  8. Analysis of physical function, muscle strength, and pulmonary function in surgical cancer patients: a prospective cohort study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  9. Article
  10. Revue des maladies respiratoires actualites · 2021
    Article
  11. Article
  12. Review
  13. Critically ill patients with cancer: A clinical perspective.World journal of clinical oncology · 2020
    Review
  14. Review
  15. Article
  16. Observational
  17. Acute respiratory failure in immunocompromised adults.The Lancet. Respiratory medicine · 2019
    Review
  18. 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

3 authors.

Frank Daniel Martos-BenítezIntensive Care Unit 8B, Hermanos Ameijeiras Hospital, Fuentes Street at 367A, Guanabacoa, Havana, Cuba. fdmartos@infomed.sld.cu.ORCID http://orcid.org/0000-0001-7551-5373
Andrés Soto-GarcíaOncological Intensive Care Unit, Institute of Oncology and Radiobiology, Havana, Cuba.
Anarelys Gutiérrez-NoyolaOncological Intensive Care Unit, Institute of Oncology and Radiobiology, Havana, Cuba.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe study was aimed to describe the characteristics of cancer patients admitted to the oncological ICU and to identify clinical features associated with outcomes.

methodsThis is a prospective study (January 2014 to December 2015) of 522 cancer patients consecutively admitted to the oncological ICU. Patients with a length of oncological ICU stay ≤ 1 day were excluded. Demographic and clinical variables were obtained at oncological ICU admission. The primary outcome of interest was hospital mortality. Logistic regression analysis was performed to identify independent risk factors for hospital mortality.

resultsThe study cohort consisted of 492 (94.3%) patients with solid tumours and 30 patients (5.7%) with haematological malignancies. Advanced cancer was observed in 53.3%. Unplanned admission accounted for 25.3%. Hospital mortality rate was 13.0% (n = 68), and it was higher for patients with unplanned admission than those for electively admitted patients (35.6% vs. 5.4; p < 0.0001). Stage IV of cancer (OR 5.28; 95% CI 2.71-10.28; p < 0.0001), patients from the emergency department (OR 3.33; 95% CI 1.68-6.61; p = 0.001), unplanned admission (OR 7.99; 95% CI 4.45-14.33; p < 0.0001), non-malignancy-related admission (OR 5.80; 95% CI 3.26-10.32; p < 0.0001), sepsis (OR 4.81; 95% CI 2.28-10.16; p < 0.0001), chemotherapy-induced adverse event (OR 5.64; 95% CI 2.33-13.66; p < 0.0001), and invasive mechanical ventilation (OR 18.70; 95% CI 9.93-35.21; p < 0.0001) were independently associated with increased hospital mortality in multivariate logistic regression analysis.

conclusionsICU admission of cancer patients should be based on potential chance of recovering from the acute problem. Clinical predictor for mortality could support this purpose (UIN: researchregistry3484).

Indexed as

AgedCohort StudiesCritical CareFemaleHematologic NeoplasmsHospital MortalityHumansIntensive Care UnitsMaleMiddle AgedNeoplasmsNeoplasm StagingProspective StudiesTreatment OutcomeAPACHECancerCritically ill patientMechanical ventilationMortalityOutcomeSepsis

Identifiers

PMID29362918
PMCPMC11813450

What OpenQuestion holds

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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.