Evidence map›Paper›PMID 38758419›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024

Benefits of cardiopulmonary resuscitation in cancer patients.

M Geelhand de Merxem, L Ameye, A-P Meert

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Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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.

M Geelhand de MerxemDepartment of Internal Medicine, Institut Jules Bordet, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Rue Meylemeersch 90, 1070, Brussels, Belgium. marie.geelhand.de.merxem@ulb.be.
L AmeyeData Center, Institut Jules Bordet, Hôpital Universitaire de Bruxelles, Brussels, Belgium.
A-P MeertDepartment of Internal Medicine, Institut Jules Bordet, Hôpital Universitaire de Bruxelles, Université Libre de Bruxelles (ULB), Rue Meylemeersch 90, 1070, Brussels, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAccording to meta-analytic data, the prognosis of a cancer patient post-cardiopulmonary resuscitation (CPR) is relatively similar to the general population. However, preselection of patients, the details of CPR, patient-specific characteristics, and post-CPR care are poorly described. The aim of this study is to identify prognostic factors in order to recognize cancer patient profiles more likely to benefit from CPR.

methodsThis is a retrospective study on a series of patients with solid or hematological malignancies who received CPR between January 2010 and December 2020 in a cancer institute.

resultsSixty-eight patients were included. The ratio of solid to hematological malignancy was 44/24, of which 32 were metastatic solid tumors. Median age was 61 years. Hypoxemia (29%) was the primary factor for cardiac arrest, followed by septic shock (21%). ICU mortality and hospital mortality were 87% and 88% respectively. Younger age, the presence of hematological malignancy, or a metastatic solid tumor were poor predictors for in-hospital mortality. Similarly, cardiac arrest in the ICU, as the final consequence of a pathological process, and a resuscitation time of more than 10 min have a negative influence on prognosis.

conclusionsThis study shows that CPR is a useful intervention in cancer patients, even in the elderly patient, especially in non-metastatic solid tumors where cardiac arrest is the consequence of an acute event and not a terminal process.

Indexed as

Cardiopulmonary ResuscitationHospital MortalityNeoplasmsAdultAgedAged, 80 and overAge FactorsFemaleHeart ArrestHumansIntensive Care UnitsMaleMiddle AgedPrognosisRetrospective StudiesCancerCardiopulmonary resuscitationCPROncologyOutcomePost-resuscitation care

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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.