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.
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Question: Abstract: Between January 1979 and June 1985, 10 patients with acute allergic interstitial nephritis were seen in a clinical nephrology service at a large regional hospital. The onset of renal failure was temporally related to the use of a drug: a nonsteroidal anti-inflammatory agent (NSAID) (in four patients), cimetidine (in three), antibiotics (in two) or allopurinol (in one). The onset of renal failure was acute in three patients and insidious in seven. Two patients also exhibited marked proteinuria. Clinical features such as fever, rash, hematuria, pyuria with or without eosinophiluria, and mild to marked proteinuria had led to suspicion of the disease. The diagnosis was confirmed by renal biopsy findings of inflammatory cells, predominantly lymphocytes, plasma cells and eosinophils. Three patients required hemodialysis; two of them received steroids as well. Steroid therapy was also used in two patients with NSAID-induced proteinuria. Renal function improved in nine patients by 35 days, but one patient continued to have slow but progressive deterioration of renal function. Acute interstitial nephritis can be distinguished from other forms of acute renal failure by heavy renal uptake of gallium 67, maximal 48 hours or more after injection. The improvement in renal function after discontinuation of the implicated drug, the characteristic histopathological findings of allergic interstitial nephritis, and the presence of eosinophils and sometimes IgE in the blood suggest a hypersensitivity reaction.
Question: Does the abstract contain any numerical data?

Answer: Yes

Question: Abstract: We describe the clinical and laboratory characteristics of 52 patients with rheumatoid vasculitis whose condition was diagnosed at a tertiary care center between 1974 and 1981, and we report their survival and the factors that were associated with decreased survival. The patients with rheumatoid vasculitis had decreased survival in comparison with an age-, sex-, and region-matched general population. Their survival was also decreased in comparison to that of an incidence cohort of community patients with rheumatoid arthritis. In the latter cohort, decreased survival was confined to those patients with classic but not definite rheumatoid arthritis. After partial correction for referral bias, we found no difference in survival between the cohort with rheumatoid vasculitis and the cohort with classic rheumatoid arthritis. We found that the age at diagnosis of rheumatoid vasculitis, the therapeutic decisions before and at diagnosis, and the referral distance were the best predictors of survival. Abnormal urinary sediment and hypergammaglobulinemia also predicted poor survival, but because of a lack of specificity in a small number of clinically abnormal values, we urge a cautious interpretation of their importance.
Question: Does the abstract contain any numerical data?

Answer: Yes

Question: 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