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Record W4296778053 · doi:10.1093/pch/21.supp5.e59

Invasive Pneumococcal Disease in Canadian Children, 2000-2014: The Canadian Immunization Monitoring Program, Active

2016· article· en· W4296778053 on OpenAlexaboutno aff
J Bettinger, David W. Scheifele, James D. Kellner, N Le Saux, J Embree, O Vanderkooi, I Martin, G Tyrrell, Wendy Vaudry, S Halperin

Bibliographic record

VenuePaediatrics & Child Health · 2016
Typearticle
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsnot available
Fundersnot available
KeywordsPneumococcal conjugate vaccineMedicineConjugate vaccinePneumococcal diseasePediatricsImmunizationImmunization programEpidemiologyVaccinationSerotypeStreptococcus pneumoniaeImmunologyInternal medicineAntibiotics

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Before implementation of the first conjugate IPD vaccine program in 2002, invasive pneumococcal disease (IPD) accounted for most severe, invasive bacterial infections in Canadian children. Conjugate vaccine programs in children were implemented with the expectation that the burden of disease from IPD would improve. OBJECTIVES: To describe the changes in Canadian epidemiology of pediatric IPD before and after the implementation of conjugate pneumo-coccal vaccine programs. DESIGN/METHODS: The Canadian Immunization Monitoring Program, Active (IMPACT) captures all in- and out-patient lab-confirmed IPD cases presenting at its 12 tertiary care pediatric hospitals across Canada. Nurses abstract case details from the hospital chart onto a standardized report form. Case isolates are serotyped at a central reference laboratory. All participating centers have local ethics and/or administrative approvals. RESULTS: From 2000-2014 IMPACT centers identified 3,328 IPD cases. Annual case numbers decreased by 48% (323 to 168) over this time period. Annually, vaccine preventable serotypes accounted for on average 89% (n=288) of cases in the pre-conjugate vaccine era (2000-2003) and 34% (n=56) in the post-13-valent conjugate vaccine era (2011-2014), with 73% (n=41/56) due to serotypes 19A, 3 and 6a. The age distribution of cases shifted upward over the time period with 16% (n=204) of cases occurring in children 5 years of age and older in the pre-vaccine era compared to 32% (n=217) in the post 13-valent vaccine era. This shift was due to decreases in cases occurring in children 0-4 years of age, rather than a significant increase in the number of cases occurring in older children. The most frequent presentation of IPD was radiologic-confirmed pneumonia (n=1119), with complicated pneumonia (pneumonia with empyema or pleural effusion) accounting for 36% (405/1119) of cases, followed by bacteremia only (n=919) and meningitis (n=532). The proportion of cases presenting with complicated pneumonia increased significantly (from 6% -24%; p<0.0001) between the pre-conjugate and post 13-valent conjugate eras. The proportion of cases presenting with meningitis did not change over the time periods (15% pre-conjugate era vs. 16% post-13-valent conjugate era; p=0.46). However, the proportion of meningitis caused by vaccine preventable serotypes decreased significantly (from 85%-26%; p<0.0001). CONCLUSION: The epidemiology of pediatric IPD has changed with the introduction of conjugate vaccine programs. IPD has been reduced by almost 50% in the post-13-valent conjugate vaccine era and vaccine sero-types account for just one-third of cases. However, complicated pneumonia is seen more frequently in the post-13-valent conjugate vaccine era.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.376

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.008
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.011
GPT teacher head0.275
Teacher spread0.264 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2016
Admission routes1
Has abstractyes

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