Clinical characteristics and prognosis of children with culture-negative osteoarticular infections: a meta-analysis based on cohort studies
Bibliographic record
Abstract
Purpose: Pediatric osteoarticular infections (OAIs) are an orthopedic emergency that can lead to severe sequelae if not treated appropriately. Approximately half of the patients with OAIs in clinical practice fail to obtain microbiological results even after undergoing aspiration or surgery, which presents a significant challenge in clinical practice. The inability to identify pathogens can lead to incorrect antibiotic usage or under-treatment, increasing the risk of adverse outcomes. This study aims to investigate the clinical characteristics and prognosis of culture-negative OAIs compared to culture-positive OAIs through a meta-analysis, providing insights to optimize treatment strategies. Methods: A systematic search was conducted to identify cohort studies comparing the clinical characteristics and prognosis of children with culture-negative OAIs to those with culture-positive OAIs. The search encompassed the databases of Wanfang Data, China National Knowledge Infrastructure, China Biology Medicine disc, Excerpta Medica Database, PubMed and the Cochrane Library, with the literature review extending up to March 2024. Data were extracted from eligible articles and assessed using the Newcastle-Ottawa scale, and the articles were selected based on predefined inclusion and exclusion criteria. Results: Twelve literature reports covering 1630 patients were included in this meta-analysis. Publication bias did not significantly affect the results. The incidence of long-term sequelae, temperature before admission, baseline laboratory indicators and possibility of surgery in the culture-negative group of patients were significantly lower than those in the culture-positive group. In addition, there were no significant differences in gender, age, race, trauma history, patient delay, antibiotic usage before admission or clinical symptoms between the two groups. Conclusions: Children diagnosed with culture-negative OAIs generally demonstrated less severe systemic inflammatory responses, required shorter treatment durations, exhibited a reduced likelihood of requiring surgical intervention and were less prone to experience long-term functional impairments compared to children with culture-positive OAIs. However, no differences in patient characteristics and clinical symptoms were found between the two groups. Further large-scale studies are still required to validate these findings. Type of study: Meta-analysis. Level of evidence: Level III.
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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 | 0.013 | 0.032 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.047 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".