First reported case of Robinsoniella peoriensis Pyometra and Bloodstream infection: A case report and review of the literature
Bibliographic record
Abstract
We report on a 47-year-old woman with jejunal adenocarcinoma and concurrent endometrial cancer, admitted with sepsis. Uterine fluid and blood cultures were positive for Robinsoniella peoriensis. This is the first case report of Robinsoniella peoriensis in Canada. We encourage clinicians to publish their experience treating gynecologic infections caused by Robinsoniella peoriensis. Failure to recognize this pathogen as causative for pyometra, may result in insufficient antimicrobial treatment, and death. Robinsoniella peoriensis, a gram-positive, spore-forming, anaerobic bacillus was originally recovered from swine manure storage pits and classified as a novel species in 2009. It is in from the phylum Firmicutes within the family Lachnospiraceae. The organism produces small, nonhemolytic colonies (0.5–1.5 mm) fermenting glucose, lactose, and maltose without nitrate reduction or indole production. Previously, this organism has been implicated in wound infections, bacteremia, and endocarditis. Herein we report a case of pyometra, and bacteremia caused by Robinsoniella peoriensis in a 47-year-old woman with concurrent small bowel and uterine cancer. We aim to perform a literature review of case reports and case series of human infection with Robinsoniella peoriensis. The following databases will be searched for MeSH terms and keywords related to Robinsoniella peoriensis on: Ovid MEDLINE, Ovid- EMBASE, PubMed (non-MEDLINE records only), Cochrane Central Register of Control Trials and Cochrane Database of Systematic Reviews. Our search strategy also included Google Scholar to identify any grey literature not published in traditional databases. No limits will be placed on the search results. Results will be managed using Endnote citation management software and screened using Covidence. We will include case reports and case series on Robinsoniella peoriensis infection in humans.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".