Stable Chlamydia Prevalence Does Not Exclude Increasing Burden of Disease
Notice bibliographique
Résumé
To the Editor: In the November 2011 issue of Sexually Transmitted Diseases, Satterwhite et al. report the results of over 5 million chlamydia screening tests in 15- to 24-year-old females attending Infertility Prevention Project (IPP) family planning clinics in the United States (US) from 2004 through 2008.1 The results of their analysis suggest that chlamydia test positivity in this population did not change significantly from 2004 to 2008 after controlling for age, race, test usage, and geography. Based on their results, they propose that the increase in chlamydia case rates of more than 20% over this same period2 is not evidence of an increasing burden of disease. Rather, the authors contend that increasing cases are the result of increasing usage of more sensitive nucleic acid amplification testing combined with increasing coverage of chlamydia screening. They conclude that the chlamydia burden of disease in the US is not increasing despite increasing case reports. There is an alternate explanation for increasing chlamydia case reports nationally coincident with a stable positivity rate of chlamydia screening tests at IPP clinics. The burden of disease in a population includes both incident (new) cases and prevalent (existing) cases. IPP patients are screened annually regardless of symptoms, as per Centers for Disease Control and Prevention (CDC) guidelines,3 and thus reflect chlamydia prevalence at a specific point in time. However, national chlamydia case report data are accumulated over an entire year and include both prevalent and incident cases. According to CDC guidelines, sexually active 15- to 24-year-old females should be screened annually regardless of symptoms and when they have symptoms, a high-risk sexual exposure or become pregnant.3 In fact, between scheduled clinic visits, IPP patients themselves may acquire chlamydia infection, test positive and be treated and cured. In this scenario, they would be included in new case reports but not in IPP prevalence data. Chlamydia test positivity in the IPP population would be representative of chlamydia burden of disease in 15- to 24-year-old sexually active females in the general population only if IPP patients received all of their health care (and chlamydia testing) at IPP clinics so that any positive test over a specific 12-month period could be included in the numerator of the test positivity calculation. The increase in new chlamydia case reports in the US and elsewhere undoubtedly reflects better case finding, as the authors suggest, but increased incidence may also be an important contributing factor. Increased incidence may be attributable to more new infections from an increase in high-risk sexual behavior or more reinfections from arrested immunity, i.e., early, expanded control programs interrupting the acquisition of natural immunity to chlamydia resulting in an increased risk of reinfection.5 In order to interpret the determinants behind the stable prevalence rates, it would be helpful for the authors to report time trends in reinfection rates and changes in the estimated duration of infection between exposure and test positivity. The arrested immunity hypothesis predicts that incidence rates rise while prevalence rates fall as a result of shortening the average duration of infection. Michael L. Rekart, MD Robert C. Brunham, MD British Columbia Centre for Disease Control (BCCDC) Vancouver, Canada
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,007 | 0,049 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,003 |
| Communication savante | 0,005 | 0,005 |
| Science ouverte | 0,005 | 0,001 |
| Intégrité de la recherche | 0,013 | 0,019 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».