Current trends in nontuberculous mycobacteria infections in Canadian children: A Pediatric Investigators Collaborative Network on Infections in Canada (PICNIC) study
Bibliographic record
Abstract
BACKGROUND: Nontuberculous mycobacteria (NTM) infections appear to be increasing in number and severity in developed countries worldwide. Surgical excision has been considered the standard treatment for NTM lymphadenitis, but the use of medical therapy seems to be increasing. OBJECTIVE: To determine the disease characteristics as well as the current therapeutic management of NTM infections in Canadian children. METHODS: Cases of definite or probable NTM infections were identified prospectively in children up to 18 years of age seen in 10 Canadian paediatric tertiary care centres from September 2005 to August 2006. Clinical, microbiological and pathological data were collected. RESULTS: A total of 60 cases were identified. Data were complete for 45 patients, including 34 cases of lymphadenitis, four cases of skin and soft tissue infection, and seven cases of pulmonary NTM infection. Seventy-nine per cent of children (27 of 34) with lymphadenitis had an unsuccessful course of antibiotics before diagnosis. Sixty-eight per cent of purified protein derivative tests (15 of 22) were positive. NTM was detected in 76% of samples (29 of 38), of which 62% were Mycobacterium avium complex. All patients with lymphadenitis underwent surgical therapy and most patients (74%) also received antimicrobials. CONCLUSIONS: Current trends indicate that the majority of the study centres are using medical therapy with variable regimen and duration as an adjunct to surgical excision in the treatment of NTM lymphadenitis. Larger numbers and longer follow-up times are needed to better evaluate the efficacy of medical therapy and outcome of disease. A randomized controlled study comparing surgical therapy alone and chemotherapy for NTM lymphadenitis is required.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.007 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".