ReviewESMO open2020
Unanswered questions and future direction in the management of terminal breathlessness in patients with cancer.
Review in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 20 citations in OpenAlex.
- Dyspnoea in intensive care unit: a truly multi-professional problem.Intensive care medicine · 2024Article
- Improved Symptom Change Enhances Quality of Dying in Patients With Advanced Cancer: An East Asian Cross-Cultural Study.The oncologist · 2024Article
- Trends in pain undertreatment among lung cancer patients at the EOL: Analysis of urban city medical insurance data in China.Thoracic cancer · 2024Article
- Current Management Options for Dyspnea in Cancer Patients.Current treatment options in oncology · 2023Review
- The feasibility and effects of a pharmacological treatment algorithm for cancer patients with terminal dyspnea: A multicenter cohort study.Cancer medicine · 2023Article
- Dyspnea in Oncological Patients: a Brain Teaser.European cardiology · 2023Review
- Management of Physical Symptoms in Patients with Advanced Cancer during the Last Weeks and Days of Life.Cancer research and treatment · 2022Review
- Prognostication of the Last Days of Life.Cancer research and treatment · 2022Article
- Prevalence and severity of symptoms and signs in patients with advanced cancer in the last days of life: the East Asian collaborative cross-cultural study to elucidate the dying process (EASED).Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2022Article
- The Bereaved Families' Preferences for Individualized Goals of Care for Terminal Dyspnea: What Is an Acceptable Balance between Dyspnea Intensity and Communication Capacity?Palliative medicine reports · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 9 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breathlessness is among the most common and deteriorating symptoms in patients with advanced cancer, which may worsen towards the end of life. Breathlessness in patients with estimated life expectancy of weeks to days has unique clinical features: it tends to worsen rapidly over days to hours as death approaches often despite current symptom control measures. Breathlessness in patients during the last weeks to days of life can be called 'terminal breathlessness'. While evidence has accumulated for the management of breathlessness in patients with cancer who are not dying, such evidence may not be fully applied to terminal breathlessness. Only a few studies have investigated the best practice of terminal breathlessness in patients with cancer. In this paper, we summarise the current evidence for the management of terminal breathlessness, and propose future directions of clinical research.
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.