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Record W2111675966

Predictive value of a history of varicella infection.

2005· article· en· W2111675966 on OpenAlexaff
Candice N Holmes

Bibliographic record

VenuePubMed · 2005
Typearticle
Languageen
FieldMedicine
TopicHerpesvirus Infections and Treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsChickenpoxMedicineSerologyMedical historyPopulationVaccinationPredictive valueChickenpox VaccineFamily historyImmunologyPediatricsVaricella vaccineImmunizationInternal medicineImmune systemAntibodyEnvironmental healthVirus
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether a history of previous varicella infection provides a reliable marker for prior infection. QUALITY OF EVIDENCE: MEDLINE was searched from January 1996 to May 2002 using the MeSH headings "varicella," "chickenpox" and "medical history taking." Recommendations in this paper are based on evidence from well designed cross-sectional studies. MAIN MESSAGE: Serologic testing is advised, rather than presumptive vaccination, for those with a negative or uncertain history of varicella; most will be immune. For those with a positive history of varicella, the advice given depends on the population. For populations at higher risk of varicella infection (eg, health care workers, pregnant women), routine serum testing is recommended. For low-risk populations, physicians could accept a positive history of varicella as a reliable indicator of immunity. CONCLUSION: Most studies found that patients' history of varicella had a high positive predictive value and a low negative predictive value. These findings suggest that a positive history of varicella is a reliable marker of disease while a negative history does not not predict lack of immunity.

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)0.003
metaresearch head score (Gemma)0.041
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: none
Teacher disagreement score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.041
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0090.000

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 head0.019
GPT teacher head0.231
Teacher spread0.212 · 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

Citations40
Published2005
Admission routes1
Has abstractyes

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