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Diagnostic and Prognostic Research is a peer-reviewed journal published by BMC (BioMed Central), covering Sepsis Diagnosis and Treatment, Meta-analysis and systematic reviews, Machine Learning in Healthcare. Over its lifetime it has published 232 papers, which have received 5,712 citations.
| Publisher | BMC (BioMed Central) |
|---|---|
| Reference style | Numbered (Vancouver) Numbered — [1], [2] in the text 1. Smith A, Jones B, Lee C. A representative article title. Diagnostic and Prognostic Research. 2023;12(3):45–58.
Formats any DOI in Diagnostic and Prognostic Research style. No sign-up. |
| Publishes research in | Sepsis Diagnosis and Treatment Meta-analysis and systematic reviews Machine Learning in Healthcare Health Systems, Economic Evaluations, Quality of Life Advanced Causal Inference Techniques |
| ISSN | 2397-7523 |
| Citation impact (2-yr) | 4.33 |
| h-index | 34 |
| i10-index | 83 |
| Article processing charge | $1,925 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | University of Oxford |
| Journal website | link.springer.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Background Decision curve analysis is a method to evaluate prediction models and diagnostic tests that was introduced in a 2006 publication. Decision curves are now commonly reported in the literature, but there remains widespread misunderstanding of and confusion about what they mean. Summary of commentary In this paper, we present a didactic, step-by-step introduction…
Clinical prediction rules (CPRs) that predict the absolute risk of a clinical condition or future outcome for individual patients are abundant in the medical literature; however, systematic reviews have demonstrated shortcomings in the methodological quality and reporting of prediction studies. To maximise the potential and clinical usefulness of CPRs, they must be rigorously developed and…
Abstract Background How to select variables and identify functional forms for continuous variables is a key concern when creating a multivariable model. Ad hoc ‘traditional’ approaches to variable selection have been in use for at least 50 years. Similarly, methods for determining functional forms for continuous variables were first suggested many years ago. More recently,…
Many studies have been performed to identify important prognostic factors for outcomes after rehabilitation of patients with chronic pain, and there is a need to synthesize them through systematic review. In this process, it is important to assess the study quality and risk of bias. The “Quality In Prognosis Studies” (QUIPS) tool has been developed…
An important aim of clinical prediction models is to positively impact clinical decision making and subsequent patient outcomes. The impact on clinical decision making and patient outcome can be quantified in prospective comparative-ideally cluster-randomized-studies, known as 'impact studies'. However, such impact studies often require a lot of time and resources, especially when they are (cluster-)randomized…
