Part 1. Definition
Indicate the presence of numerical data in the abstract (whether numerical data plays a key role in medical records), solely using the information from the abstract.
Part 2. Example
Abstract: Some patients converted from ventricular fibrillation to organized rhythms by defibrillation - trained ambulance technicians(EMT - Ds) will refibrillate before hospital arrival.The authors analyzed 271 cases of ventricular fibrillation managed by EMT - Ds working without paramedic back - up.Of 111 patients initially converted to organized rhythms, 19(17%) refibrillated, 11(58%) of whom were reconverted to perfusing rhythms, including nine of 11(82%) who had spontaneous pulses prior to refibrillation.Among patients initially converted to organized rhythms, hospital admission rates were lower for patients who refibrillated than for patients who did not(53 % versus 76% , P = NS), although discharge rates were virtually identical(37 % and 35 % , respectively).Scene - to - hospital transport times were not predictively associated with either the frequency of refibrillation or patient outcome.Defibrillation - trained EMTs can effectively manage refibrillation with additional shocks and are not at a significant disadvantage when paramedic back - up is not available.
Question: Does the abstract contain any numerical data?
Answer: Yes
Explanation: As there are numerical figures and percentages (%), the answer is yes.
Part 3. Exercise
Abstract: Human growth hormone (hGH) levels were measured during rest, prolonged treadmill exercise at 60% maximum O2 uptake (VO2max), and immediate recovery in four groups of subjects (n = 7/group), ages 21-30 yr, classified as male runners (MR), female runners (FR), male controls (MC), and female controls (FC) to determine whether sex differences in the hGH response are related to resting 17 beta-estradiol (E2) and/or cardiorespiratory endurance (CRE). Glucose (Glc), E2, and hGH levels were determined from serial blood samples taken from an intravenous catheter. Glc did not change significantly during exercise, but different trends for the runners (increases) vs. controls (decreases) resulted in higher (P less than 0.01) postexercise levels in the runners. Resting hGH was higher (P less than 0.05) in the FRs and FCs than the MRs and MCs, respectively, and continued to be higher in the FCs (vs. MCs) during the first 30 min of exercise. The MRs achieved higher peak hGH levels and exhibited higher values than the MCs throughout exercise and recovery. There were no statistically significant training differences in the females. The strongest predictors for peak hGH were absolute work load and group (runners vs. controls), both of which combined accounted for 32-36% of the variability (P less than 0.01) in hGH response. Significant sex-related variables (sex, resting E2) accounted for 11-19% of the variability in peak or percent change in hGH, with E2 having a positive effect at rest but a negative effect during exercise.(ABSTRACT TRUNCATED AT 250 WORDS)
Question: Does the abstract contain any numerical data?
Answer:
Yes