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.

Input: Consider Input: In patients presenting with a breast lesion, when initial core biopsy histology falls into the category of "uncertain malignant potential" (i.e. a B3 lesion), the next line of investigation has traditionally been a surgical biopsy (SBx). Vacuum-assisted biopsy (VAB) may be a viable minimally invasive alternative to SBx for B3 lesions. The primary aims of this study were to establish whether VAB reduces the need for surgical biopsy and determine VAB sensitivity for carcinoma following initial B3 histology.', 'B3 lesion data was collected from 2004 to 2013 retrospectively, from a single institution that utilises both VAB and SBx.', 'A total of 413 lesions were categorised B3 on initial biopsy. Mean age was 61 years (range: 24-91 years). Mean follow up was 52 months (range: 19-60 months). 156 patients (38%) underwent VAB. Only 20% of patients underwent VAB in 2004, with an increase to 95% by 2013. VAB histology revealed twelve carcinomas, all of which progressed to surgical excision. In six cases, a SBx was required following VAB in order to provide further diagnostic information. In one case, carcinoma was missed on VAB.

Output: Is vacuum-assisted biopsy a viable alternative to surgical biopsy in the investigation of breast lesions of uncertain malignant potential?


Input: Consider Input: 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.

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


Input: Consider Input: The current study examined the relation of anger, hostility, and severity of depressive symptoms, alone and in combination, to C-reactive protein (CRP) in healthy men and women.', 'A high sensitivity enzyme linked immuno sorbent assay (ELISA) was used to evaluate CRP levels in a multiethnic sample of 127 healthy, nonsmoking men and women. Fasting blood samples were collected the same day the assessments were done of anger and hostility using the Buss-Perry Aggression Questionnaire (BPAQ) and depressive symptomatology using the Beck Depression Inventory (BDI). A psychological risk factor (PRF) score representing a composite summary indicator of BDI and BPAQ-anger and -hostility was generated using principal component analysis. Log-transformed CRP values were examined using univariate and multivariate analyses adjusting for control variables of age, gender, body mass index (BMI), alcohol use, exercise frequency, ratio of total to high-density lipoprotein cholesterol, and family history of premature coronary heart disease (CHD).', 'Log-normalized CRP was correlated with BDI (r = 0.21, p =.02) and BPAQ anger (r = 0.20, p =.02), but not with BPAQ hostility. After adjustment for control variables, BDI (beta = 0.05, p =.011), BPAQ anger (beta = 0.05, p =.007), and the PRF composite score (beta = 0.27, p =.005), but not BPAQ hostility (beta = 0.03, p =.11), were significantly associated with log-normalized CRP.


Output: Is c-reactive protein associated with psychological risk factors of cardiovascular disease in apparently healthy adults?