Nontuberculous Mycobacterial Cervical Adenitis: A Ten‐Year Retrospective Review
Bibliographic record
Abstract
OBJECTIVE: To review the authors' institutional experience with nontuberculous mycobacterial cervical adenitis in children over a 10-year period. STUDY DESIGN: Retrospective chart review. METHODS: The case histories of 79 children with nontuberculous mycobacterial lymphadenitis who presented to a large tertiary care referral center from 1989 to 1999 were retrospectively analyzed, and the demographics, clinical presentation, methods of diagnosis, and types of surgical intervention they underwent were reported. RESULTS: The mean age at presentation was 3.6 years. The male-to-female ratio was 1:2, and the frequency of presentation was highest in the winter and spring months. The diagnosis was not immediately apparent to most primary health care physicians because there was a delay between the appearance of the lump and referral for treatment, which was in excess of 8 weeks. Involved nodes were mainly treated surgically. The recurrence rate of complete surgical resection was less than 1%. CONCLUSION: The study highlights the fact that a high index of clinical suspicion is needed to make an early diagnosis of nontuberculous mycobacterial lymphadenitis and lends further weight to the already existing evidence that surgical excision remains the mainstay of successful treatment for lymphadenitis caused by nontuberculous mycobacteria.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".