If you are to follow up your cases for the two scoring methodologies over a certain period of time to see mortality then i guess you must have in mind certain number of patients being followed up. This will be your cohort and i interpret it will be a cohort study. It will be then prospective in nature.
If you are to follow up your cases for the two scoring methodologies over a certain period of time to see mortality then i guess you must have in mind certain number of patients being followed up. This will be your cohort and i interpret it will be a cohort study. It will be then prospective in nature.
Dr. Sikandar Hayat Khan and Dr. Ajit kumar Roy, I need further explanation from you.
Cohort Study involves follow up and a non-exposed or matched control group. In my study, there is follow up but no control group. Moreover, I am not interested in mortality associated factors, as I will compare two mortality predicting scales.
Case series lacks control group, but it is descriptive design.
Thanks again. In fact you talked about mortality and comparison of two scoring systems:
FIRST: Will you be doing same scoring on same patient as I interpret?
SECOND: If not mortality, then define morbidity related end-points like stay in hospital or whatever is feasible to you
THIRD: You can't have controls, so just do a "case series study", though low in evidence but as I interpret you can't have mortality data in short-term, You can;t controls, You are to find some end-points
You can make groups like those leaving early from hospital and initial scores at assessment time AND those leaving late and their assessment scores by 2 methods but still will be termed as "comparative cross-sectional study".
Anyway defining OBJECTIVE is prerequisite here before you start anything
Dear discussants! @ MAdnan's last entry says very clearly what must and will be done. You may call is a (clinical) cohort study if you like. A consecutive prospective clinical sample, I would call it, comparing two prognostic (non-intervention) 'devices.'
Critical is: a clear def. of entry criteria; strict consecutivity; comparative data collection and scores not to be revealed to those in charge of treatment INCLUDING those deciding whether and when to discharge the patient [it's easy to overlook the last point].
- - Once the data are collected, the choice of an appropriate statistical analysis is another challenge.
Dr. Jørgen Hilden, thank you so much for your kind instructions, definitely I will go with this design, as other colleagues have also recommended it. However I am a little bit confused about control group which will not be part of this proposed cohort study.
What would the purpose of a 'control group' be? What should a control group look like, i.e., how would its handling differ from what you already have? If you plan to test a difference from the control group, what would this test help making sure? -- -- No, as the purpose in described, everything rests on the INTERNAL comparisons in the data set [and, luckily, basable on within-patient ('paired') comparisons]. - More questions? /JH
As in cohort study, we have two groups, first exposed group include subjects with and without outcome, second non-exposed group which also include subjects with and without outcome.
When I see my proposed cohort study, it only include septic patients with and without mortality; where objective is comparison of two scales that predict mortality.
What you suggest if I go with "observational study" design?
Dear Muhammad, You are a victim of the "design tyrranny" that crept into epidemiology and biostatistics around 1980. I am referring to the idea that every study represents a textbook design and preferably must have that design's name or label in its title. That is not how the world is. - No, no, a well-designed study is a well-designed study whether or not you can find a matching study, and a label for the design, in textbooks. If you cannot find the match, it is the textbook writer's fault, not yours!
If you need a label after all, then 'consecutive clinical sample' is fine. That this is a subclass of observational studies is admittedly true because no intervention is involved, but it is misleadingly unspecific to use 'observational' as your design label.