ArticleHaematologica2018
Physician uncertainty aversion impacts medical decision making for older patients with acute myeloid leukemia: results of a national survey.
Article in Haematologica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05865964 (Evaluation of Anthropological, Socio-cultural and Psychological Factors of Surgeons Practising in Oncology Which Condition Brakes in the Evaluation of Surgical Innovations), which is not on this map. Cited by 15 papers, 2 of them syntheses that pooled it.
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Evaluation of Anthropological, Socio-cultural and Psychological Factors of Surgeons Practising in Oncology Which Condition Brakes in the Evaluation of Surgical Innovations
Who cites it
15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.
- Psychological Determinants of Physician Variation in End-of-Life Treatment Intensity: A Systematic Review and Meta-Synthesis.Journal of general internal medicine · 2023Pooled it
- A Systematic Review of Decision Aids in Hematologic Malignancies: What Are Currently Available and What Are We Missing?The oncologist · 2023Pooled it
- Multisite 11-year experience of less-intensive vs intensive therapies in acute myeloid leukemia.Blood · 2021Trial
- Factors Associated with Receipt of Allogeneic Hematopoietic Cell Transplant and NMDP Donor Search in Older Adults with Acute Myeloid Leukemia.Transplantation and cellular therapy · 2026Article
- Protocol of a decisional intervention for older adults with newly diagnosed acute myeloid leukemia and their caregivers: UR-GOAL 3.Journal of geriatric oncology · 2025Article
- Experiences of treatment decision-making among older newly diagnosed adults with acute myeloid leukemia: a qualitative descriptive study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Adaptation of Serious Illness Care Program to be delivered via telehealth for older patients with hematologic malignancy.Blood advances · 2023Article
- Patterns of undertreatment among patients with acute myeloid leukemia (AML): considerations for patients eligible for non-intensive chemotherapy (NIC).Journal of cancer research and clinical oncology · 2021Review
- Impact of Physicians' Personalities and Behavioral Traits on Treatment-Related Decision-making for Elderly Acute Myeloid Leukemia.Journal of general internal medicine · 2021Article
- Review
- The use of experimental vignette studies to identify drivers of variations in the delivery of health care: a scoping review.BMC medical research methodology · 2021Article
- Article
- Recent drug approvals for newly diagnosed acute myeloid leukemia: gifts or a Trojan horse?Leukemia · 2020Review
- Impact of TP53 mutations in acute myeloid leukemia patients treated with azacitidine.PloS one · 2020Article
- Developing a Novel Values Elicitation Measure for Clinical Use in Older Adults with Hematologic Malignancies: Values-HM.MDM policy & practiceArticle
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elderly patients with acute myeloid leukemia can be treated with intensive chemotherapy, low-intensity therapy such as low-dose aracytine or hypomethylating agents, or best supportive care. The choice between these treatments is a function of many patient-related and disease-related factors. We investigated how physicians' behavioral characteristics affect medical decision-making between intensive and non-intensive therapy in this setting. A nationwide cross-sectional online survey of hematologists collected data on medical decision-making for 6 clinical vignettes involving older acute myeloid leukemia patients that were representative of routine practice. Questionnaires elicited physicians' demographic and occupational characteristics along with their individual behavioral characteristics according to a decision theory framework. From the pattern of responses to the vignettes, a K-means clustering algorithm was used to distinguish those who were likely to prescribe more intensive therapy and those who were likely to prescribe less intensive or no therapy. Multivariate analyses were used to identify physician's characteristics predictive of medical decision-making. We obtained 230 assessable answers, which represented an adjusted response rate of 45.4%. A multivariate model (n=210) revealed that physicians averse to uncertainty recommend significantly more intensive chemotherapy: Odds Ratio (OR) [95% Confidence Interval (CI)]: 1.15 [1.01;1.30];
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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.