Six cases during 2012–2015 and literature review of <i>Chryseobacterium indologenes</i> infections in pediatric patients
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
Chryseobacterium indologenes is a widespread bacteria in the environment, especially hospitals, and a rarely reported human pathogen. The lowest frequency has been reported in children under 5 years of age. Clinical manifestations of C. indologenes include nosocomial pneumoniae, biliary tract infection, peritonitis, surgical wound infection, intravascular catheter-related bacteremia, cellulitis, and primary bacteremia. There is a knowledge gap in the management of C. indologenes infections, especially pertaining children, because of multiple antibiotic resistance and limited data in the literature concerning effective empirical treatment. In the published literature, a total of 16 cases of C. indologenes infections were reported in the pediatric age group. Herein, we present our experience in 6 children with C. indologenes infections. Early and prompt management of C. indologenes infections, particularly in children with mechanic ventilation, with polymicrobial infections, and under the age of 2 years, is of major importance because these factors seem to have a negative effect on the prognosis of infections caused by C. indologenes. Ciprofloxacin and TPM-SMX may be the best therapeutic choices for a combined initial empirical treatment of the patients.
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