The phrase "a very large study" is correct and usable in written English.
It can be used when referring to a research study that has a significant sample size or extensive data collection.
Example: "The findings from a very large study indicate a strong correlation between diet and health outcomes."
Alternatives: "an extensive study" or "a substantial study".
By usability standards, 116 people constitutes a very large study.
A very large study recently published in the Journal of the American College of Cardiology is a case in point.
This is a very large study with virtually complete follow-up and with detailed information on potentially important confounders including smoking, deprivation, reproductive and hormonal factors, body size, dietary factors, and other health indicators.
"This is a very safe procedure, and we now have a very large study to show that this does not compromise safety," said Dr. Tracy Weitz, who led the study.
Many were inconclusive, but a very large study, published in July in The Lancet, a London-based medical journal, found that the length of time women in the industrialized world nursed their children was indeed associated with a significantly lower average risk of cancer.
There is a common belief that stress can cause cancer, but the finding from scientists at the Institute of Cancer Research carries weight because it is from a very large study which began in 2003 and followed what happened to more than 100,000 healthy women over 40 years.
The significant role of UA in the progression of renal disease was also underscored in a recent very large study that included more than 175,000 individuals in a 25-year follow-up, in which UA was shown to be an independent predictor of end-stage renal disease [ 17].
However, a subsequent very large study of 8 European countries, based on national population sources, found larger differentials among men than women and also that absolute (but not relative) differentials in mortality by marital status increased with age, being greatest in the older age groups among which most deaths occur [ 6].
19 47–49 In a recent and very large study from China, 1928 patients with SLE from five different centres were studied according to serological profiles.
Despite these weaknesses, this very large study represents an important new contribution to the sparse literature on fatigue after stroke.
Similarly, Tice et al. found that BI-RADS density can lead to a modest improvement in risk prediction (AUC = 0.66 0.68) in a pair of very large studies [ 41, 42].
