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Prognostic significance and accuracy of oncologists' estimates of survival time in recurrent ovarian cancer.

Int J Gynecol Cancer

January 2025

The NHMRC Clinical Trials Centre, The University of Sydney, Sydney, NSW, Australia; Macarthur Cancer Therapy Centre, Sydney, NSW, Australia; Western Sydney University, Department of Medicine, Sydney, NSW, Australia. Electronic address:

Objective: We evaluated the accuracy of oncologists' estimates of expected survival time in recurrent ovarian cancer.

Methods: Oncologists estimated expected survival time at baseline for each patient, who were then followed up for survival time. We hypothesized that oncologists' estimates of expected survival time would be independently significant predictors of survival, unbiased (approximately equal proportions [50%] living longer versus shorter than their expected survival time), or imprecise (<30% within 0.

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Background: Distal tibial deformities are not assessed using the proximal anatomical axis (PAA) to determine the posterior tibial slope (PTS). Therefore, it seems advantageous to measure PTS on full-length lateral tibial radiographs using the mechanical axis (MA).

Purposes: To (1) compare the PTS measurements using the MA and the PAA and (2) determine whether using the PAA fails to detect a certain number of significantly elevated PTS values compared with using the MA.

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Background: Heart Failure (HF) quality of care (QoC) is associated with clinical outcomes. Therefore, we investigated differences in HF QoC across worldwide regions (with differing national income) and the association of quality indicators with outcomes.

Methods: We examined the quality of care (QoC) in acute heart failure (HF) patients across different regions using quality indicators (QIs) from the European Society of Cardiology (ESC) and the American Heart Association (AHA) to evaluate QoC.

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Metagenomic analysis of pristine oil sheds new light on the global distribution of microbial genetic repertoire in hydrocarbon-associated ecosystems.

Microlife

January 2025

Environmental Metagenomics, Research Center One Health Ruhr of the University Alliance Ruhr, Faculty of Chemistry, University of Duisburg-Essen, 45141 Essen, Germany.

Oil reservoirs are society's primary source of hydrocarbons. While microbial communities in industrially exploited oil reservoirs have been investigated in the past, pristine microbial communities in untapped oil reservoirs are little explored, as are distribution patterns of respective genetic signatures. Here, we show that a pristine oil sample contains a complex community consisting of bacteria and fungi for the degradation of hydrocarbons.

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