TASK DEFINITION: Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.
PROBLEM: Endometrial cancers (ECs) are the most common form of gynecologic malignancy. Recent studies have reported that ECs reveal distinct markers for molecular pathogenesis, which in turn is linked to the various histological types of ECs. To understand further the molecular events contributing to ECs and endometrial tumorigenesis in general, a more precise identification of cancer-associated molecules and signaling networks would be useful for the detection and monitoring of malignancy, improving clinical cancer therapy, and personalization of treatments.', 'ECs-specific gene co-expression networks were constructed by differential expression analysis and weighted gene co-expression network analysis (WGCNA). Important pathways and putative cancer hub genes contribution to tumorigenesis of ECs were identified. An elastic-net regularized classification model was built using the cancer hub gene signatures to predict the phenotypic characteristics of ECs. The 19 cancer hub gene signatures had high predictive power to distinguish among three key principal features of ECs: grade, type, and stage. Intriguingly, these hub gene networks seem to contribute to ECs progression and malignancy via cell-cycle regulation, antigen processing and the citric acid (TCA) cycle.

SOLUTION: Does visual gene-network analysis reveal the cancer gene co-expression in human endometrial cancer?

PROBLEM: Clinical predictors associated with acute paraquat (PQ) poisoning have not been systematically studied.', 'To identify independent predictors of death in patients with acute PQ poisoning.', 'This is a retrospective study executed in the emergency department of a university hospital. One hundred three consecutive patients poisoned with PQ between January 1999 and December 2004 were enrolled. Urine PQ concentration, electrolyte and renal function, detailed history, and Acute Physiology and Chronic Health Evaluation II were extracted from medical records. The outcome measure was 30-day mortality. Multivariate analysis was done by Cox-proportional hazard regression model. Receiver operating characteristics area under the curve was calculated for selected predictors.', 'The crude 30-day mortality was 67.9% (70 of 103). Independent predictors of death were acute renal failure (hazard ratio, 3.53; 95% confidence interval, 1.97-6.32), hypokalemia (2.07, 1.21-3.51), hypothermia (2.91, 1.67-5.07), suicide (2.11, 1.04-4.29), and self-reported ingested dose (2.06, 1.38-3.06). The receiver operating characteristics area under the curve of serum potassium concentrations, maximal urine PQ concentrations, and Acute Physiology and Chronic Health Evaluation II scores were 0.75 (95% confidence interval, 0.60-0.81), 0.71 (0.66-0.84), and 0.80 (0.71-0.88), respectively. Under the cutoff value of 3.6 mEq/L, hypokalemia had a sensitivity of 75% and specificity of 54% in predicting mortality.

SOLUTION: Are hypokalemia and hypothermia associated with 30-day mortality in patients with acute paraquat poisoning?

PROBLEM: To determine whether a simple question about steadiness at admission predicts in-hospital functional decline and whether unsteadiness at admission predicts failure of in-hospital functional recovery of patients who have declined immediately before hospitalization.', 'Prospective cohort study.', 'One university hospital and one community teaching hospital.', 'One thousand five hundred fifty-seven hospitalized medical patients aged 70 and older.', 'On admission, patients reported their steadiness with walking and whether they could perform independently each of five basic activities of daily living (ADLs) at admission and 2 weeks before admission (baseline). For the primary analysis, the outcome was decline in ADL function between admission and discharge. For the secondary analysis, the outcome was in-hospital recovery to baseline ADL function in patients who experienced ADL decline in the 2 weeks before admission.', 'In the primary cohort (n = 1,557), 25% of patients were very unsteady at admission; 22% of very unsteady patients declined during hospitalization, compared with 17%, 18%, and 10% for slightly unsteady, slightly steady, and very steady patients, respectively (P for trend =.001). After adjusting for age; medical comorbidities; Acute Physiology, Age, and Chronic Health Evaluation II score; and admission ADL, unsteadiness remained significantly associated with ADL decline (odds for decline for very unsteady compared with very steady = 2.6, 95% confidence interval = 1.5-4.5). In the secondary analysis, predicting ADL recovery in patients who declined before hospitalization (n = 563), 46% of patients were very unsteady at admission. In this cohort, 44% of very unsteady patients failed to recover, compared with 35%, 36%, and 33% for each successively higher level of steadiness, respectively (P for trend = 0.06). After multivariate adjustment, greater unsteadiness independently predicted failure of recovery (P for trend = 0.02).

SOLUTION:
Does unsteadiness reported by older hospitalized patients predict functional decline?