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.

To assess the ability of the 4-week healing rate to predict complete healing over a 12-week period in a large prospective multicenter trial of diabetic patients with foot ulceration.', 'We examined the change in ulcer area over a 4-week period as a predictor of wound healing within 12 weeks in patients who were seen weekly in a prospective, randomized controlled trial.', 'Wound area measurements at baseline and after 4 weeks were performed in 203 patients. The midpoint between the percentage area reduction from baseline at 4 weeks in patients healed versus those not healed at 12 weeks was found to be 53%. Subjects with a reduction in ulcer area greater than the 4-week median had a 12-week healing rate of 58%, whereas those with reduction in ulcer area less than the 4-week median had a healing rate of only 9% (P < 0.01). The absolute change in ulcer area at 4 weeks was significantly greater in healers versus nonhealers (1.5 vs. 0.8 cm(2), P < 0.02). The percent change in wound area at 4 weeks in those who healed was 82% (95% CI 70-94), whereas in those who failed to heal, the percent change in wound area was 25% (15-35; P < 0.001).
Is percent change in wound area of diabetic foot ulcers over a 4-week period a robust predictor of complete healing in a 12-week prospective trial?

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

Although excessive sympathetic activation in viral myocarditis and the protective effects of sympathetic inhibition with β-blockers are clear, the effects of enhancing vagal tone on viral myocarditis remain unclear. In several models, vagus nerve activation with the α7 nicotinic acetylcholine receptor (α7-nAChR) agonists has been demonstrated to ameliorate inflammation. This study was therefore designed to examine the effects of cholinergic stimulation with α7-nAChR agonist nicotine in a murine model of acute viral myocarditis.', 'BALB/C mice were infected by an intraperitoneally injection with coxsackievirus B3. Nicotine and methyllycaconitine (an α7-nAChR antagonist) were administered at doses of 0.4mg/kg and 0.8mg/kg three times per day for 7 or 14 consecutive days, respectively. The effects of nicotine and methyllycaconitine on survival rate, myocardial histopathological changes, cardiac function, cytokine levels, viral RNA, malondialdehyde, and superoxide dismutase contents were investigated.', 'Nicotine significantly increased survival rate of the infected mice, decreased myocardial inflammation, and improved the impairment of left ventricular function in murine coxsackievirus B3-induced myocarditis compared with methyllycaconitine. The proinflammatory cytokines TNF-α, IL-1β, IL-6 and IL-17A were significantly decreased in the infected mice treated with nicotine compared with methyllycaconitine. Nicotine had no significant anti-oxidative and antiviral effects in coxsackievirus B3-infected mice.

Does nicotine inhibit the production of proinflammatory cytokines of mice infected with coxsackievirus B3?