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1.  Erratum 
doi:10.1177/0141076813499497
PMCID: PMC3725869
2.  [No title available] 
doi:10.1177/0141076813475949
PMCID: PMC3676223
3.  [No title available] 
doi:10.1177/0141076813489244
PMCID: PMC3676237
4.  [No title available] 
doi:10.1177/0141076813489245
PMCID: PMC3676238
5.  Of snarks, boojums and national drug charts 
doi:10.1258/jrsm.2012.120172
PMCID: PMC3556807  PMID: 23358272
6.  Erratum 
doi:10.1258/jrsm.2012.12k092
PMCID: PMC3526841
7.  Erratum 
doi:10.1258/jrsm.2012.12k068
PMCID: PMC3480849
8.  Erratum 
doi:10.1258/jrsm.2012.12k012
PMCID: PMC3308646
9.  From JRSM Short Reports 
doi:10.1258/jrsm.2012.11k053
PMCID: PMC3265226
11.  Remote doctoring is only part of online health 
doi:10.1258/jrsm.2011.110318
PMCID: PMC3265228  PMID: 22275497
12.  GP commissioning and the NHS reforms: what lies behind the hard sell? 
doi:10.1258/jrsm.2011.110195
PMCID: PMC3265229  PMID: 22275493
16.  Explanatory models are needed to integrate RCT and observational data with the patient's unique biology 
In this review, we make the case for evidence-based medicine (EBM) to include models of disease underscored by evidence in order to integrate evidence, as it is currently defined, with the patient's unique biology. This would allow clinicians to use a pathophysiologic rationale, but underscoring the pathophysiological model with evidence would create an objective evidence base for extrapolating randomized controlled trial evidence. EBM encourages practitioners not to be passive receivers of information, but to question the information. By the same token, practitioners should not be passive executors of the process by which information is generated, appraised and applied, but should question the process. We use the historical examples of the evolution of EBM to show that its subordination of a pathophysiological perspective was unintentional, and of essential hypertension to illustrate the importance of disease models and the fact that evidence supporting them comes from many sources. We follow this with an illustration of the benefits a pathophysiological perspective can bring and a suggested model of how inclusion of pathophysiological models in the EBM approach would work. From a practical perspective, information cannot be integrated with the patient's unique biology without knowledge of that biology; this is why EBM is currently so silent on how to carry out its fourth stage. It is also clear that, regardless of whether a philosophical or practical definition of evidence is used, pathophysiology is evidence and should be regarded as such.
doi:10.1258/jrsm.2011.110236
PMCID: PMC3265235  PMID: 22275494
17.  Authors' response to Meredith and Hull 
doi:10.1258/jrsm.2011.11k043
PMCID: PMC3265236  PMID: 22275492
18.  Professor Eric Arnott 
doi:10.1258/jrsm.2011.11k051
PMCID: PMC3265237  PMID: 22275498
19.  How are we going to rebuild public health in Libya? 
doi:10.1258/jrsm.2011.110230
PMCID: PMC3241510  PMID: 22179288
21.  Treves and the Royal Star and Garter Home 
doi:10.1258/jrsm.2011.11K035
PMCID: PMC3241514  PMID: 22179289
22.  From JRSM Short Reports 
doi:10.1258/jrsm.2011.11k046
PMCID: PMC3241515
23.  Gene doping: Olympic genes for Olympic dreams 
doi:10.1258/jrsm.2011.110240
PMCID: PMC3241516  PMID: 22179292
24.  The answer is 17 years, what is the question: understanding time lags in translational research 
This study aimed to review the literature describing and quantifying time lags in the health research translation process. Papers were included in the review if they quantified time lags in the development of health interventions. The study identified 23 papers. Few were comparable as different studies use different measures, of different things, at different time points. We concluded that the current state of knowledge of time lags is of limited use to those responsible for R&D and knowledge transfer who face difficulties in knowing what they should or can do to reduce time lags. This effectively ‘blindfolds’ investment decisions and risks wasting effort. The study concludes that understanding lags first requires agreeing models, definitions and measures, which can be applied in practice. A second task would be to develop a process by which to gather these data.
doi:10.1258/jrsm.2011.110180
PMCID: PMC3241518  PMID: 22179294
25.  Clinicians out of fashion for the Nobel Prize in Medicine and Physiology 
doi:10.1258/jrsm.2011.110302
PMCID: PMC3241519  PMID: 22179291

Results 1-25 (719)