Injection drug use and right sided endocarditis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
If William Osler were alive today he would no doubt remark on the fundamental change in the nature of the disease that he originally described. Staphylococcal endocarditis in injection drug users is now the dominant form of the disease in many urban communities where there is a high incidence of injection drug use and homelessness. At our institution (a tertiary care, university affiliated hospital in inner Vancouver), 63% of 116 hospitalisations between 1994 and 2000 for infective endocarditis (IE) were in injection drug users. Right sided endocarditis accounts for 10% of all IE in population based surveys1 and a higher proportion of IE in injection drug users. Modern echocardiographic techniques have considerably augmented our ability to diagnose IE and to understand its natural history. Despite this, there are many areas in which our understanding of right sided IE remains incomplete. Right sided IE has a significant morbidity and mortality that adds a notable economic burden to stretched inner city health care facilities. The challenges of caring for this population of patients should not be underestimated and demands a logical and coordinated approach among care providers and physicians from a variety of specialties. This article reviews aspects of the epidemiology, clinical features, diagnosis, and treatment of right sided IE in injection drug users. Although right sided IE may occur in association with congenital heart disease and instrumentation of the right heart, it is overwhelmingly a disease of injection drug users, at least in western populations. Among injection drug users presenting with fever, 13% will have echocardiographic evidence of IE.2 If injection drug users with bacteraemia from an inner city demographic are considered, up to 41% will have evidence of IE.3 The pathogenic mechanisms that explain the increased prevalence of right sided IE in injection drug users are not …
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it