Trial reportAnti-cancer drugs2019
Interferon-α versus interleukin-2 in Chinese patients with malignant melanoma: a randomized, controlled, trial.
Trial report in Anti-cancer drugs, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled 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.
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
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.
- A Systematic Review of Time and Resource Use Costs of Subcutaneous Versus Intravenous Administration of Oncology Biologics in a Hospital Setting.PharmacoEconomics - open · 2023Pooled it
- A comprehensive neuroimaging review of the primary and metastatic brain tumors treated with immunotherapy: current status, and the application of advanced imaging approaches and artificial intelligence.Frontiers in immunology · 2024Review
- Cytokine Modification of Adoptive Chimeric Antigen Receptor Immunotherapy for Glioblastoma.Cancers · 2023Review
- Melanoma Brain Metastases: A Systematic Review of Opportunities for Earlier Detection, Diagnosis, and Treatment.Life (Basel, Switzerland) · 2023Review
- Aldehyde dehydrogenase-positive melanoma stem cells in tumorigenesis, drug resistance and anti-neoplastic immunotherapy.Molecular biology reports · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The US Food and Drug Association has approved interferon-α (IFN-α) and interleukin-2 (IL-2) as adjuvant therapy in malignant melanoma. The objective of the study was to compare efficacy and safety of subcutaneous interferon-α with continuous intravenous IL-2 in Chinese patients with malignant melanoma. A total of 250 patients with unresectable malignant melanoma were subjected to randomized in 1 : 1 ratio. Patients received subcutaneous 9×10 IU/m IFN-α (IFN-α group, n=125) or continuous intravenous 9×10 IU/m IL-2 (IL-2 group, n=125) at every 21 days for 4 months. The response, progression-free survival, overall survival, adverse effects, and cost were evaluated by experts in the field. IL-2 and IFN-α were effective in improvement of malignant melanoma after 4 months of intervention. IL-2 was effective in improving brain metastasis. Patients of the IL-2 group had a higher overall survival (P<0.0001) and a higher progression-free survival (P=0.002) than those of IFN-α group. The IL-2 group reported hypotension, kidney dysfunction, liver dysfunctions, flu-like symptoms, and capillary leak syndrome as adverse effects. IFN-α group reported thrombocytopenia and neutropenia as adverse effects. Healthcare management and expert charges lead to increase in the cost of treatment for IL-2 group patients than IFN-α group (P<0.0001). Continuous intravenous IL-2 should be recommended in relapse-free Chinese patients with malignant melanoma. Level of Evidence: I.
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.