MétaCan
Menu
Back to cohort
Record W4398238741 · doi:10.51731/cjht.2024.899

Newborn Screening for Congenital Cytomegalovirus in Canada

2024· article· en· W4398238741 on OpenAlexaboutno aff
CADTH

Bibliographic record

VenueCanadian Journal of Health Technologies · 2024
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsnot available
Fundersnot available
KeywordsCytomegalovirusVirologyMedicinePediatricsVirusHerpesviridaeViral disease

Abstract

fetched live from OpenAlex

What Is the Issue Congenital cytomegalovirus (cCMV) infection is a leading cause of childhood hearing loss. It is estimated that 85% to 90% of newborns infected with cCMV will not show any symptoms at birth. Of those newborns with cCMV infection who are asymptomatic at birth, 10% to 15% will go on to develop long-term symptoms, including vision loss, hearing loss, and developmental delays. What Did We Do? This brief provides a summary about newborn screening for cCMV in Canada, including whether screening is available for cCMV in each province and territory, and if so, whether screening is universal or targeted using publicly available information. What Did We Find? Currently in Canada, 4 provinces (Alberta, Saskatchewan, Manitoba, Ontario) have or are implementing universal newborn screening for cCMV. Three provinces (British Columbia, New Brunswick, Nova Scotia) have province-wide targeted screening programs that offer cCMV testing to newborns who fail newborn hearing tests or who have suspected cCMV as identified by a clinician. Current clinical guidance and practice remain mixed on whether targeted or universal newborn screening is recommended, with each having a different distribution of benefits and harms. cCMV infections can be detected using blood, urine, or saliva tests. Most universal newborn screening programs use dried blood spot tests, which are likely to produce false-negative results; saliva tests have a lower number of false-negative results but can result in a higher number of false-positives. Some programs recommend additional testing using a different method (either saliva or urine) after an initial positive test as a validation. What Does This Mean? As both universal and targeted newborn screening programs have been adopted by several jurisdictions in Canada, there is wide recognition that cCMV infection is a serious health issue and that early detection is important. Moreover, there is an opportunity to generate data and evidence about test performance and program impact over time that could support future decision-making. As evidence and new test and treatment options become available, such data will help to inform the type of newborn screening approach used for cCMV.

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)0.002
metaresearch head score (Gemma)0.013
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: Empirical · Consensus signal: none
Teacher disagreement score0.914
Threshold uncertainty score0.623

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.006
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.054
GPT teacher head0.330
Teacher spread0.276 · 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
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Health TechnologiesSame topicCytomegalovirus and herpesvirus researchFrench-language works237,207