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Chlamydia pneumoniae infection predicts a reduced risk for subsequent atopic disease

2005· article· en· W1995436375 on OpenAlexaff
Erik Normann, Judy Gnarpe, H Gnarpe, B Wettergren

Bibliographic record

VenueActa Paediatrica · 2005
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive tract infections research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineChlamydiaAsthmaPopulationAllergyRespiratory tract infectionsRespiratory tractWheezeChlamydophila pneumoniaeInternal medicineImmunologyRisk factorLogistic regressionRespiratory systemChlamydiaceaeEnvironmental health

Abstract

fetched live from OpenAlex

AIM: To investigate long-term effects on children previously infected with Chlamydia pneumoniae. METHODS: A follow-up questionnaire was sent to all participants from a former population-based study in order to investigate health status during the 4 y that had elapsed between the two studies. In the original study, the prevalence of C. pneumoniae infection was 23% as determined by PCR analyses on throat swab specimens. These PCR results were found to have no detectable correlation for clinical disease. The main outcome measures in this follow-up study were the reported prevalence of respiratory tract infections, asthma and allergy. RESULTS: Approximately 83% completed the follow-up questionnaire. No increase in respiratory tract infections was reported by children previously found to have C. pneumoniae infection. A diagnosis of allergy was more common in the former PCR-negative population (13.4% vs 4.7%, p<0.03). The differences were most apparent in the population with atopic heredity. In a logistic regression model with different suggested risk factors for allergy, earlier infection with C. pneumoniae reduced the risk for allergy (OR=0.13; 95% CI: 0.02-0.99). This was not found for asthma. CONCLUSION: A positive PCR test for C. pneumoniae in young children was associated with a lower risk of developing allergic airway disease in this study population, and did not predict an increase in respiratory tract infections.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.248
Threshold uncertainty score0.948

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.016
GPT teacher head0.278
Teacher spread0.261 · 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 teacher head, 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

Citations4
Published2005
Admission routes1
Has abstractyes

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