ArticleJournal of the National Comprehensive Cancer Network : JNCCN2023
Indicators of Clinical Trajectory in Patients With Cancer Who Receive Cardiopulmonary Resuscitation.
Article in Journal of the National Comprehensive Cancer Network : JNCCN, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 6 citations in OpenAlex.
- Association between Diagnostic History and Cancer Incidence within 5 Years: A Real-world Observational Analysis.Cancer research communications · 2026Observational
- [Changes in treatment goals and palliative care in the intensive care unit-when and how?]Medizinische Klinik, Intensivmedizin und Notfallmedizin · 2025Review
- The 4Palliative & supportive care · 2025Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundPatients with cancer who require cardiopulmonary resuscitation (CPR) historically have had low survival to hospital discharge; however, overall CPR outcomes and cancer survival have improved. Identifying patients with cancer who are unlikely to survive CPR could guide and improve end-of-life discussions prior to cardiac arrest.
methodsDemographics, clinical variables, and outcomes including immediate and hospital survival for patients with cancer aged ≥18 years who required in-hospital CPR from 2012 to 2015 were collected. Indicators capturing the overall declining clinical and oncologic trajectory (ie, no further therapeutic options for cancer, recommendation for hospice, or recommendation for do not resuscitate) prior to CPR were determined a priori and manually identified.
resultsOf 854 patients with cancer who underwent CPR, the median age was 63 years and 43.6% were female; solid cancers accounted for 60.6% of diagnoses. A recursive partitioning model selected having any indicator of declining trajectory as the most predictive factor in hospital outcome. Of our study group, 249 (29%) patients were found to have at least one indicator identified prior to CPR and only 5 survived to discharge. Patients with an indicator were more likely to die in the hospital and none were alive at 6 months after discharge. These patients were younger (median age, 59 vs 64 years; P≤.001), had a higher incidence of metastatic disease (83.0% vs 62.9%; P<.001), and were more likely to undergo CPR in the ICU (55.8% vs 36.5%; P<.001) compared with those without an indicator. Of patients without an indicator, 145 (25%) were discharged alive and half received some form of cancer intervention after CPR.
conclusionsProviders can use easily identifiable indicators to ascertain which patients with cancer are at risk for death despite CPR and are unlikely to survive to discharge. These findings can guide discussions regarding utility of resuscitation and the lack of further cancer interventions even if CPR is successful.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.