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Nevin Manimala Statistics

Comprehensive Benefit-Risk Assessment of Noninferior Treatments Using Multicriteria Decision Analysis.

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Comprehensive Benefit-Risk Assessment of Noninferior Treatments Using Multicriteria Decision Analysis.

Value Health. 2020 Dec;23(12):1622-1629

Authors: Sidi Y, Harel O

Abstract
OBJECTIVES: To develop a simple approach for evaluating the overall benefit-risk of a new noninferiority treatment compared with a standard of care.
METHODS: We propose using multicriteria decision analysis that accounts for uncertainty associated with both clinical outcomes and patient preference data. Because patients’ preferences are likely to be influenced by their baseline characteristics, we suggest carrying out a preference study at the beginning of a trial. To reduce the burden of an additional study questionnaire, preference elicitation could be done on a small sample of trial participants. To restore preferences for all trial participants, we propose using multiple imputation (MI). Using simulations, we examine whether 3 different MI procedures lead to the same benefit-risk assessment conclusion, as if all trial participant preferences were obtained. We also compare MI results to complete case analysis, where only preferences of the small sample of trial participants are considered.
RESULTS: We show that the MI procedure successfully restores patients’ preferences for the trial participants using different outcome criteria and preferences. For example, using 3 outcome criteria with only 10% of the trial participants providing their preferences, complete case analysis demonstrated a new noninferior treatment as favorable only 5.1% of the time, whereas MI procedures did so between 16.2% and 17.9% of the time. Given that 17.6% correspond to the fully observed weights, the MI methods demonstrate favorable results.
CONCLUSIONS: The MI procedure can help facilitate a simple comprehensive benefit-risk assessment for new noninferior treatments.

PMID: 33248518 [PubMed – as supplied by publisher]

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Nevin Manimala Statistics

Economic Evaluations in National Cancer Institute-Sponsored Network Cancer Clinical Trials.

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Economic Evaluations in National Cancer Institute-Sponsored Network Cancer Clinical Trials.

Value Health. 2020 Dec;23(12):1653-1661

Authors: Nghiem VT, Vaidya R, Lyman GH, Hershman DL, Ramsey SD, Unger JM

Abstract
OBJECTIVES: Amid a rapid increase in cancer care costs, we examined the extent to which economic evaluations (EEs) were conducted for new treatments evaluated in clinical trials at SWOG, a large National Cancer Institute-sponsored cancer research network.
METHODS: We investigated phase III cancer treatment clinical trials activated from 1980 onward with primary articles reporting the protocol-designated endpoints published in scientific journals by 2017. Using PubMed, Web of Science, and EconLit, we searched for EEs using trial name, cancer type, information on the comparison arms, and refined keywords for EE designs. We reported the overall proportion of trials with associated EEs and trends of this proportion over time. We synthesized and analyzed information on funding sources, health outcomes, and sources of quality-of-life and cost data from the EEs.
RESULTS: Among 182 examined trials, 15 EEs were associated with 13 (7.1%) trials. Among the EEs, almost half (7 of 15) were either unfunded or did not report funding information, whereas nearly half (7 of 15) were funded by pharmaceutical companies and 2 (2 of 15, 13.3%) were supported by federal funding. All EEs reported a healthcare payer perspective. The proportion of trials with an associated EE increased from 1980 to 1989 and 2000 to 2009, but never exceeded 11%. Sources for cost and quality-of-life data for the EEs primarily came from outside the clinical trials.
CONCLUSIONS: Few economic studies of treatments evaluated in National Cancer Institute-sponsored clinical trials have been conducted. Policymakers, payers, and patients lack economic evidence to consider newly evaluated cancer treatments, despite an urgent need to control healthcare costs.

PMID: 33248521 [PubMed – as supplied by publisher]

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Nevin Manimala Statistics

Maternal and fetal outcomes in phaeochromocytoma and pregnancy: a multicentre retrospective cohort study and systematic review of literature.

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Maternal and fetal outcomes in phaeochromocytoma and pregnancy: a multicentre retrospective cohort study and systematic review of literature.

Lancet Diabetes Endocrinol. 2020 Nov 26;:

Authors: Bancos I, Atkinson E, Eng C, Young WF, Neumann HPH, International Pheochromocytoma and Pregnancy Study Group

Abstract
BACKGROUND: Phaeochromocytoma or paraganglioma (collectively known as PPGL) in pregnant women can lead to severe complications and death due to associated catecholamine excess. We aimed to identify factors associated with maternal and fetal outcomes in women with PPGL during pregnancy.
METHODS: We did a multicentre, retrospective study of patients with PPGL and pregnancy between Jan 1, 1980, and Dec 31, 2019, in the International Pheochromocytoma and Pregnancy Registry and a systematic review of studies published between Jan 1, 2005, and Dec 27, 2019 reporting on at least five cases. The inclusion criteria were pregnancy after 1980 and PPGL before or during pregnancy or within 12 months post partum. Eligible patients from the retrospective study and systematic review were included in the analysis. Outcomes of interest were maternal or fetal death and maternal severe cardiovascular complications of catecholamine excess. Potential variables associated with these outcomes were evaluated by logistic regression.
FINDINGS: The systematic review identified seven studies (reporting on 63 pregnancies in 55 patients) that met the eligibility criteria and were of adequate quality. A further 197 pregnancies in 186 patients were identified in the International Pheochromocytoma and Pregnancy Registry. After excluding 11 pregnancies due to potential overlap, the final cohort included 249 pregnancies in 232 patients with PPGL. The diagnosis of PPGL was made before pregnancy in 37 (15%) pregnancies, during pregnancy in 134 (54%), and after delivery in 78 (31%). Of 144 patients evaluated for genetic predisposition for phaeochromocytoma, 95 (66%) were positive. Unrecognised PPGL during pregnancy (odds ratio 27·0; 95% CI 3·5-3473·1), abdominal or pelvic tumour location (11·3; 1·5-1440·5), and catecholamine excess at least ten-times the upper limit of the normal range (4·7; 1·8-13·8) were associated with adverse outcomes. For patients diagnosed during pregnancy, α-adrenergic blockade therapy was associated with fewer adverse outcomes (3·6; 1·1-13·2 for no α-adrenergic blockade vs α-adrenergic blockade), whereas surgery during pregnancy was not associated with better outcomes (0·9; 0·3-3·9 for no surgery vs surgery).
INTERPRETATION: Unrecognised and untreated PPGL was associated with a substantially higher risk of either maternal or fetal complications. Appropriate case detection and counselling for premenopausal women at risk for PPGL could prevent adverse pregnancy-related outcomes.
FUNDING: US National Institutes of Health.

PMID: 33248478 [PubMed – as supplied by publisher]

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