Invasive<i>Neisseria meningitidis</i>subtype C in gay, bisexual and other men who have sex with men: a systematic review
Bibliographic record
Abstract
Introduction Outbreaks of invasiveNeisseria meningitidissubtype C in networks of gay, bisexual and other men who have sex with men (MSM) have been reported. We aimed to explore any factors seen in MSM with invasiveN.meningitidissubtype C. Method We searched three bibliographical databases for manuscripts written in English exploring at least one factor seen in MSM with invasiveN. meningitidissubtype C published up to May 2024. Following an initial search, removal of duplicates and abstract review, two authors independently reviewed full-text manuscripts and performed a risk of bias assessment using the Joanna Briggs Institute toolkit. Narrative data were synthesised to generate themes. Results 16 manuscripts were included in this review from the USA (n=10), Germany (n=2), France (n=2), Canada (n=1) and Italy (n=1) and consisted of nine case series, four cross-sectional studies, two case reports and one case–control study published between 2003 and 2024 involving 236 MSM with invasiveN. meningitidissubtype C, of which at least 64 died. We have highlighted some demographic (African-American or Hispanic identity in the USA, living with HIV), behavioural (kissing, sharing drinks, visiting sex-on-premises venues, visiting gay-oriented venues, using websites/mobile phone apps to meet sexual partners, recreational drug use, multiple and non-regular sexual partners) and infection (previousChlamydia trachomatis, Treponema pallidum, Neisseria gonorrhoeae, Mpox) factors in MSM with invasiveN. meningitidissubtype C. Conclusion These data serve as an important resource to inform and target future public health strategies and outbreak control measures for the prevention of invasiveN. meningitidissubtype C in MSM. PROSPERO registration number CRD42024543551.
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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 | 0.012 | 0.057 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.017 | 0.019 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".