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: Changes of volume status can be readily inferred from variations in diameter of the inferior vena cava (IVC) measured by ultrasound. However the effect of IVC changes following acute blood loss are not fully established. In this study, three different approaches to measuring IVC variables were compared in healthy blood donors, as a model of acute volume depletion, in order to establish their relative ability to detect acute blood loss.', 'Inspiratory and expiratory IVC diameters were measured before and after blood donation in hepatic long axis, hepatic short axis and renal short axis views using a 2-5\xa0MHz curvilinear probe. All measurements were recorded and examined in real-time and post-processing sessions.', 'All windows performed satisfactorily but the renal window approach was feasible in only 30 out of 47 subjects. After blood donation, IVC diameters decreased in hepatic long axis, hepatic short axis and renal short axis (expiratory: -19.9, -18.0, -26.5\xa0%; CI 95\xa0%: 14.5-24.1; 13.1-22.9; 16.0-35.9, respectively) (inspiratory: -31.1, -31.6, -36.5\xa0%; CI 95\xa0%: 21.3-40.1; 18.8-45.2; 23.4-46.0, respectively), whereas the IVC collapsibility index increased by 21.6, 22.6 and 19.3\xa0% (CI 95\xa0%: 11.6-42.9; 18.5-39.5; 7.7-30.0). IVC diameters appeared to return to pre-donation values within 20\xa0min but this was only detected by the hepatic long axis view.

SOLUTION: Do inferior vena cava diameters and collapsibility index reveal early volume depletion in a blood donor model?

PROBLEM: Body weight correlates with risk of breast cancer death.', 'A retrospective cohort study using patient medical records, electronic cancer registry data, and archived tissue specimens.', 'A 395-bed, comprehensive community hospital.', 'One thousand three hundred seventy-six women, aged 24 to 81 years, who were diagnosed with breast cancer between January 1, 1988, and December 31, 1995, and for whom complete medical records and adequate tissue specimens existed.', "Body weight at the time of diagnosis and patient status (ie, alive and free of breast cancer, living with breast cancer, dead of breast cancer, or dead of other cause) at the time of longest follow-up. Additional data collected, including age at diagnosis, menopausal status, tumor size, tumor grade, lymph node status, stage at diagnosis, race, estrogen-receptor (ER) status, and treatment information, were used to create multivariate Cox proportional hazards models to estimate hazard rate (HR) ratios and 95% confidence intervals (CIs) for breast cancer death. We collected ER status from the patients' medical records, when available, and supplemented the information by using immunohistochemical techniques to determine ER status from archived paraffin-embedded tumor blocks.", 'Patients were followed up for a median of 6.8 years after diagnosis. Two hundred forty-six patients died from breast cancer. Among patients with early-stage disease (I and IIA), we observed a dose-response relationship of increasing weight with increasing likelihood of dying of breast cancer. Compared with women in the lowest category of weight (< 133 lb [60 kg] at diagnosis), women in the highest category (> or = 175 lb [79 kg]) experienced a 2.5-fold increased risk of dying from breast cancer (HR ratio, 2.54 [95% CI, 1.08-6.00]; trend P = .02). Women with ER-negative cancer experienced an approximately 2-fold higher risk of dying from breast cancer compared with women with ER-positive cancer, regardless of stage at diagnosis. Women in the upper 50th percentile of weight with early-stage disease and with ER-negative tumors had a nearly 5-fold increased risk of dying (HR ratio, 4.99 [95% CI, 2.17-11.48]; P for interaction = .10) compared with women in the lower 50th percentile of weight and ER-positive tumors. The results were similar for body mass index, a measure of obesity in which weight is adjusted for height.

SOLUTION: Does body weight correlate with mortality in early-stage breast cancer?

PROBLEM: Study of HIV-1 resistance development to the diketo analogue S-1360, the first HIV-1 integrase strand transfer inhibitor that has entered clinical development.', 'HIV-1(IIIB) was passaged in cell culture in the presence of increasing concentrations of S-1360 (IIIB/S-1360(res)).', 'The IIIB/S-1360(res) strains selected for 30, 50 and 70 passages in the presence of S-1360 were evaluated genotypically by sequencing analysis and phenotypically using the MT-4/MTT assay.', 'Multiple mutations, nine in total, emerged progressively in the catalytic domain of integrase as a result of the selection process. They included T66I and L74M that have both been associated with resistance against the diketo acid L-708,906. After 30, 50 and 70 passages in the presence of S-1360, IIIB/S-1360(res) displayed a four-, eight- and more than 62-fold reduced susceptibility for S-1360, respectively. Phenotypic cross-resistance to L-708,906 was modest for the IIIB/S-1360(res) strain selected during 50 passages, but pronounced for the strain selected during 70 passages. Interesting, all IIIB/S-1360(res) strains remained fully susceptible to the pyranodipyrimidine V-165, an integrase DNA binding inhibitor. Recombination of the mutant integrase genes into wild-type background by integrase-chimeric virus technology entirely reproduced the resistance profile of the IIIB/S-1360(res) strains. As for the replication kinetics of the selected and recombined strains, reduced replication fitness was measured for all strains when compared with their respective wild-type strains.

SOLUTION:
Do multiple mutations in human immunodeficiency virus-1 integrase confer resistance to the clinical trial drug S-1360?