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Record W1994889557 · doi:10.1159/000079883

Efficacy of Pneumococcal Immunization in Patients with Renal Disease – What Is the Data?

2004· review· en· W1994889557 on OpenAlexaff
J. Ben Robinson

Bibliographic record

VenueAmerican Journal of Nephrology · 2004
Typereview
Languageen
FieldMedicine
TopicPneumonia and Respiratory Infections
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineIncidence (geometry)PopulationInternal medicineImmunologyNephrotic syndromeAntibody titerSerologyImmunizationTiterGastroenterologyAntibody

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS: There is an increased incidence of invasive pneumococcal disease in patients with renal allografts, chronic renal insufficiency (CRI), or nephrotic syndrome (NS). Routine pneumococcal immunization (PI) has been recommended for these patients, but the efficacy of PI in this population is not well established. METHODS: A review was done of studies that reported the immunologic response, efficacy, or safety of PI in patients with renal allografts, CRI, or NS. RESULTS: On review of 26 published studies of PI in this population, all studies demonstrated a serologic response by the majority of patients to at least some pneumococcal serotypes. Use of steroids did not alter this response. In the studies with a greater than 6-month follow-up, declining antibody titers were consistently reported, and this decline was usually more rapid than in healthy controls. However, because the studies of the efficacy of PI in this population involve small numbers of patients and are not controlled, the significance of this decline in titers is not known. The incidence of serious adverse reactions to PI is very low. CONCLUSION: Pending more data, patients with renal transplants, CRI, or NS should continue to be offered PI.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.991
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.022
GPT teacher head0.318
Teacher spread0.297 · 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 designOther design
Domainnot available
GenreReview

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

Citations36
Published2004
Admission routes1
Has abstractyes

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