From a difficult raw dataset to a publication-ready clinical study
A 1,800-patient multicentre retrospective dataset, two weeks to a submission deadline, and a preliminary analysis that turned out to be wrong.
Evidence
Four documented projects: a dataset that was not what it appeared to be, a partnership operating at scale, a manuscript everyone had given up on, and researchers who stopped needing us.
Manage research at scale without letting quality drift; rescue and strengthen manuscripts that have stalled; and build long-term research capacity rather than simply completing individual projects. These four cases are what each of those looks like in practice.
A 1,800-patient multicentre retrospective dataset, two weeks to a submission deadline, and a preliminary analysis that turned out to be wrong.
Supporting an academic institution across design, analysis, writing and journal selection — at a volume that only works with a structured workflow.
Repeated rejection is usually a diagnosis problem. This manuscript had four separate ones — and a journal strategy that was never going to work.
The measure of good mentorship is that the researcher stops needing it. Several of ours went from supported projects to ten-plus papers a year.
Bring us the dataset that has been sitting unanalysed, the manuscript that keeps coming back, or the study you have not designed yet. Fifteen minutes is usually enough to know where you actually stand.
Or call +20 100 163 8864 · Sunday–Thursday, 09:00–18:00 (GMT+2, Cairo)