MétaCan
Menu
Back to cohort
Record W2079577864 · doi:10.1097/inf.0b013e3181bf53f3

Prevention of Rheumatic Fever

2009· letter· en· W2079577864 on OpenAlexaffabout
Jonathan R. Carapetis, Andrew C. Steer

Bibliographic record

VenueThe Pediatric Infectious Disease Journal · 2009
Typeletter
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsObservational studyRandomized controlled trialBlindingMedicineSore throatRandomizationIncidence (geometry)Psychological interventionIntervention (counseling)Meta-analysisPediatricsInternal medicinePhysical therapyFamily medicineSurgeryPsychiatry

Abstract

fetched live from OpenAlex

To the Editors: Lennon et al present a meta-analysis of school or community-based studies involving treatment of streptococcal sore throat (some including treatment of throat carriage as well) and claim that the summary estimate of efficacy (59%) is likely to represent a “true treatment effect.”1 We question this result and indeed the validity of the meta-analytic methodology used. Because of the paucity of randomized controlled trials (RCT), the inclusion criteria were broadened to include before/after and observational studies. As a result, only one RCT was included—the authors' own study (the NZ randomized controlled trial (ref. 17 in the Lennon et al paper) is listed as published in the Pediatric Infectious Diseases Journal, but does not appear to have been published at the time of submission of this letter), a trial of very high quality involving almost 87,000 person-years of observation, which found no significant reduction in acute rheumatic fever (ARF) incidence in the treatment group. That trial, the scope of which is unlikely to be repeated, surely qualifies as the most important ARF research in at least the past 2 decades. However, in this meta-analysis, the results of this RCT are pooled with 2 observational studies (comparing ARF incidence in schools with interventions to schools without the intervention) and 3 before/after studies (comparing ARF incidence in a region before the intervention and after the intervention), none of which involved any blinding or randomization. Interestingly, in the Forest plots of the study results, the study demonstrating the largest treatment effect, and with the greatest impact on the pooled efficacy result, was the least able of all the studies to determine the specific effectiveness of a sore throat treatment intervention.2 This report documents changes in the incidence of ARF in a region of Cuba over 10 years, during which a comprehensive ARF/RHD public health intervention was instituted, which included not only primary prophylaxis but also “secondary prevention of ARF/RHD, training of health personnel, healthcare education via dissemination of information, community involvement, and epidemiological surveillance.” Comprehensive programs such as this have been associated with ARF incidence reductions over a long period previously in the Caribbean,3 which may speak to their overall effectiveness, but does not permit one to estimate the effectiveness of any single component of the intervention, particularly in the absence of any attempt to control for multiple other confounding factors that may be present in a single region over a 10-year period. Lennon et al also do not address the issues of practicality of such school or community based programs, particularly in resource-poor countries, where the burden of ARF/RHD is the greatest. One of the studies included in the analysis pointed out that it cost US $12 per child enrolled in school per year (in 1970s currency),4 and we would be interested to know the cost of the New Zealand RCT, which we suspect to have been expensive. In low and middle income countries, there are additional barriers including access to microbiological diagnosis, training of primary care staff, transport to and from remote areas, availability of antibiotics, and ability to follow-up patients that would require considerable additional resources to overcome.5 As a result, such programs would be even less affordable in these settings. Meta-analysis can be a powerful tool, but only if appropriate studies are selected for inclusion in the pooled analysis. Although the 5 observational or before/after studies included in the analysis provide some encouraging nonrandomized data in favor of community-based primary prophylaxis, they are not of sufficient quality to include in a meta-analysis. For an intervention where the only true efficacy study does not demonstrate a significant treatment effect, and which has significant cost implications for countries with the highest disease burden, we believe it is unreasonable to conclude, as Lennon et al do, that “in communities with high rates of RF (we suggest greater than 50 per 100,000 children per year), the school- and/or community-based programs be actively considered.” Jonathan Carapetis, MB BS, PhD Menzies School of Health Research and Charles Darwin University Darwin, Australia Andrew Steer, MB BS, FRACP Department of Pediatrics University of British Columbia Vancouver, Canada

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.063
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0060.001
Research integrity0.0110.019
Insufficient payload (model declined to judge)0.0170.006

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.

Opus teacher head0.016
GPT teacher head0.282
Teacher spread0.266 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

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".

Quick stats

Citations11
Published2009
Admission routes2
Has abstractyes

Explore more

Same venueThe Pediatric Infectious Disease JournalSame topicStreptococcal Infections and TreatmentsFrench-language works237,207